
# AI Engineer World's Fair 2025

Main website: https://ai.engineer/
Basic llms info: https://ai.engineer/llms.txt
LLms-full.txt including speakers: https://ai.engineer/llms-full.txt
Calendar view schedule: https://ai.engineer/schedule
Get all sessions in JSON for your vibecoded frontend: https://ai.engineer/sessions-speakers-details.json

## Overview

**June 3–5, 2025 • San Francisco**  
The AI Engineer World's Fair is the largest technical conference for engineers working in AI today. Returning for its third year, this event is where the leading AI labs, founders, VPs of AI, and engineers gather to share what they're building and what's next.

- ~3,000 attendees: Founders, VPs of AI, AI Engineers
- ~150 launches and talks from top speakers
- ~100 practical workshops and expo sessions
- ~50 top DevTools and employers represented in the Expo

Organized by the team behind the AI Engineer Summit.  
**[Buy Tickets](https://ti.to/software-3/ai-engineer-worlds-fair-2025?source={{UTM_SOURCE}}) | [Watch 2023/2024/2025 Talks](https://youtube.com/@aidotengineer) | [Subscribe to Newsletter](https://ai.engineer/newsletter)**

## Schedule

June 3: Workshops + exclusive Speaker Dinner
June 4: MCP, Tiny Teams, LLM RecSys, GraphRAG, Agent Reliability, Infrastructure, AI PM, Voice, AI in Fortune 500, AI Architects
June 5: Reasoning + RL, SWE-Agents, Evals, Retrieval + Search, Security, Generative Media, AI Design, Robotics/Autonomy, AI in Fortune 500 (day 2), AI Architects (Day 2)

### Tuesday, June 3 – Workshop Day + Evening Expo & Reception
- Exclusive hands-on workshops across 5 tracks, instructed by industry-leading companies, founders, and engineers.
- Topics span all levels of experience and specialties in AI Engineering.
- **Evening Welcome Reception** (4:00–7:00pm): Held in the Grand Assembly & Expo Hall. Open to all ticketholders.

### Wednesday & Thursday, June 4–5 – Conference Days
- 19 tracks of talks, panels, and demos.
- Keynotes from the biggest and most consequential labs and companies.
- High-value hallway track and facilitated networking.
- Workshops and exclusive access for "Conference + Workshop Pass" holders.

## Meals and Events

### June 3
- Continental Breakfast.  7:15am - 9:45am.  Grand Assembly.
- Registration. 8:00am - 7:00pm.  Atrium: Event Hub.
- Rehearsals/Tech Check. 10:00am - 5:00pm.  Keynote/General Session (Yerba Buena 7&8)
- Morning Break. 10:15am - 10:40am.  Grand Assembly.
- Lunch. 12:00pm - 1:00pm.  Grand Assembly.
- Afternoon Break. 3:00pm - 3:30pm.  Grand Assembly.
- Welcome Reception.  4:00pm - 7:00pm.  Grand Assembly.
- Community Meetups.  5:30pm - 9:00pm.  Atrium: Event Hub

### June 4
 - Continental Breakfast.  7:15am - 9:55am.  Grand Assembly.
 - Registration. 7:00am - 7:00pm.  Atrium: Event Hub.
 - Rehearsals/Tech Check. 7:45am - 8:45am.  Keynote/General Session (Yerba Buena 7&8)
 - Morning Break. 10:15am - 11:00am.  Salons 9-15: Expo Hall.
 - Lunch. 12:00pm - 2:00pm.  Salons 9-15: Expo Hall.
 - Afternoon Break. 3:00pm - 3:45pm.  Salons 9-15: Expo Hall.
 - The Toolbit Afterparty. 5:15pm - 7:00pm.  Salons 9-15: Expo Hall.
 - Community Meetups.  7:00pm - 10:40pm.  Atrium: Event Hub

### June 5
 - Continental Breakfast.  7:15am - 9:55am.  Grand Assembly.
 - Registration. 7:00am - 3:00pm.  Atrium: Event Hub.
 - Rehearsals/Tech Check. 7:45am - 8:45am.  Keynote/General Session (Yerba Buena 7&8)
 - Morning Break. 10:30am - 11:15am.  Salons 9-15: Expo Hall.
 - Lunch. 12:00pm - 2:00pm.  Salons 9-15: Expo Hall.
 - Afternoon Break. 3:00pm - 3:45pm.  Salons 9-15: Expo Hall.
 - Community Meetups.  5:30pm - 9:00pm.  Atrium: Event Hub

## Tracks

======================================================================
---  Track: AI ARCHITECTS (June 4-5) ---
======================================================================

    Session ID: 941249
    Track: AI Architects
    Speaker: Clay Bavor (Cofounder, Sierra)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 4 Jun 2025 11:15 AM
    Session Title: Rise of the AI Architect
    Description:
    As the amount of consumer facing AI products grows, the most forward leaning enterprises have created a new role: the AI Architect. These leaders are responsible for helping define, manage, and evolve their company's AI agent experiences over time.
    
    In this session, Clay Bavor (Cofounder of Sierra) will join Alessio Fanelli (co-host of Latent Space) in a fireside chat to share what it means to be an AI Architect, success stories from the market, and the future of the role.

  ------------------------------------

    Session ID: 913965
    Track: AI Architects
    Speaker: Dani Grant (CEO)
    Format: Talk
    Room: Salons 2-6: Workshops
    Time: 3 Jun 2025 09:55 AM
    Session Title: The AI Engineer’s Guide to Raising VC
    Description:
    A no fluff, all tactics discussion. More AI engineers should build startups, the world needs more software. But there’s a way to raise VC and it’s hard to do it if you’ve never seen it done. We are going to walk through the exact playbook to raise your first round of funding. We will show you real pitch decks, real cold emails and real term sheets so when you go out to raise your first round of funding, you are setup to do it. Every AI Engineer should be equip to start their own company and this session makes sure raising $$$ is not going to be the blocker.

  ------------------------------------

    Session ID: 913965
    Track: AI Architects
    Speaker: Chelcie Taylor (Investor )
    Format: Talk
    Room: Salons 2-6: Workshops
    Time: 3 Jun 2025 09:55 AM
    Session Title: The AI Engineer’s Guide to Raising VC
    Description:
    A no fluff, all tactics discussion. More AI engineers should build startups, the world needs more software. But there’s a way to raise VC and it’s hard to do it if you’ve never seen it done. We are going to walk through the exact playbook to raise your first round of funding. We will show you real pitch decks, real cold emails and real term sheets so when you go out to raise your first round of funding, you are setup to do it. Every AI Engineer should be equip to start their own company and this session makes sure raising $$$ is not going to be the blocker.

  ------------------------------------

    Session ID: 915067
    Track: AI Architects
    Speaker: Anoop Kotha (Applied AI)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 4 Jun 2025 02:40 PM
    Session Title: Building Effective Voice Agents
    Description:
    How to build production voice applications and learnings from working with customers along the way

  ------------------------------------

    Session ID: 914401
    Track: AI Architects
    Speaker: Rossella Blatt Vital (VP of Engineering - AI)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 5 Jun 2025 11:15 AM
    Session Title: From Hype to Habit: How We’re Building an AI-First SaaS Company—While Still Shipping the Roadmap
    Description:
    What does it really take to move a modern SaaS company from AI experimentation to becoming truly AI-first?
    
    At Sprout Social, we’re in the midst of that transformation—rearchitecting strategy, systems, teams, and incentives to put AI at the heart of how we think, build, and deliver value. This is a story in motion: a behind-the-scenes look at how we’re evolving from isolated AI feature experiments to an AI-native operating model.
    
    I’ll share what we’re learning as we navigate the innovation dilemma—integrating disruptive AI capabilities without breaking what already works or our roadmap. That includes rethinking how we define success, how we hire, reward, grow talent, and how we handle legal and ethical complexity without slowing down. We’ll explore the real-world tensions between rapid innovation, value delivery, making progress on Responsible AI, all while elevating internal AI fluency, and engaging with the broader AI ecosystem to stay at the edge.
    
    This isn’t a playbook from the finish line—it’s a candid reflection from deep inside the journey.
    
    My goal is to help other leaders chart their own AI path with greater clarity, confidence, and care.

  ------------------------------------

    Session ID: 907834
    Track: AI Architects
    Speaker: Michael Albada (Principal Applied Scientist)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 4 Jun 2025 11:35 AM
    Session Title: Building Applications with AI Agents
    Description:
    Generative AI has dramatically shortened the distance between ideas and implementation, enabling faster prototyping and deployment than ever before. But while language models can streamline individual tasks, true transformation comes from combining these capabilities into intelligent, autonomous systems—AI agents.
    
    This talk explores how to build and deploy foundation model-enabled agent systems that go beyond simple prompt chaining or chatbots. Drawing from real-world implementations and the latest research, it offers a clear and practical path to designing both single-agent and multi-agent systems capable of handling complex workflows with minimal oversight.
    
    Attendees will gain a deeper understanding of the core design principles behind agentic systems, the architectural trade-offs involved in orchestrating multiple agents, and the strategies required to develop tailored solutions that enhance efficiency and innovation. Whether just beginning or scaling up, participants will leave with actionable insights to navigate the rapidly evolving world of AI autonomy.

  ------------------------------------

    Session ID: 930540
    Track: AI Architects
    Speaker: Ilan Bigio (Developer Experience)
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: Model-Maxxing: RFT, DPO, SFT (Fine-tuning with OpenAI)
    Description:
    Covering all forms of fine-tuning and prompt engineering, like SFT, DPO, RFT, prompt engineering / optimization, and agent scaffolding.

  ------------------------------------

    Session ID: 933612
    Track: AI Architects
    Speaker: Antje Barth (Principal Developer Advocate)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 4 Jun 2025 04:05 PM
    Session Title: Building  Agents at Cloud-Scale
    Description:
    Let's explore  practical strategies for building and scaling agents in production. Discover  how to move from local MCP implementations to cloud-scale architectures and  how engineering teams leverage these patterns to develop sophisticated agent  systems. Expect a mix of demos, use case discussions, and a glimpse into the  future of agentic services!

  ------------------------------------

    Session ID: 914814
    Track: AI Architects
    Speaker: Ivan Burazin (CEO)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 5 Jun 2025 12:15 PM
    Session Title: AX is the only Experience that Matters
    Description:
    If you’re building devtools for humans, you’re building for the past.
    
    Already a quarter of Y Combinator’s latest batch used AI to write 95% or more of their code. AI agents are scaling at an exponential rate and soon, they’ll outnumber human developers by orders of magnitude.
    
    
    The real bottleneck isn’t intelligence. It’s tooling. Terminals, local machines, and dashboards weren’t built for agents. They make do… until they can’t.
    
    In this talk, I’ll share how we killed the CLI at Daytona, rebuilt our infrastructure from first principles, and what it takes to build devtools that agents can actually use. Because in an agent-native future, if agents can’t use your tool, no one will.
    

  ------------------------------------

    Session ID: 933641
    Track: AI Architects
    Speaker: Kshitij  Grover (Co-Founder & CTO, Orb Inc.)
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 01:15 PM
    Session Title: Revenue Engineering: How to Price (and Reprice) Your AI Product
    Description:
    You’ve trained the model—now it’s time to train the business. This talk dives into the engineering behind pricing systems that can evolve as fast as your AI stack.
    
    Orb CTO Kshitij Grover will walk through how leading AI companies design infrastructure to support experimentation, scale, and real-world monetization constraints.
    
    Topics include:
    - How to meter usage and map it to pricing with accuracy and auditability
    - Factoring in margins and underlying costs when designing pricing strategy
    - Handling complexity across motions: self-serve vs. enterprise, pay-as-you-go vs. committed contracts
    - How to test pricing changes safely (and roll them back when needed)
    
    Whether you’re bootstrapping a pricing system from scratch or replacing a brittle V1, you’ll leave with architectural patterns and mental models to make pricing a first-class engineering concern.
    

  ------------------------------------

    Session ID: 933605
    Track: AI Architects
    Speaker: Mani Khanuja (Principal ML Services SA)
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 03:30 PM
    Session Title: Data is Your Differentiator: Building Secure and Tailored AI Systems
    Description:
    As  organizations seek to harness their proprietary data while maintaining  security and compliance, Amazon Bedrock provides a comprehensive framework  for building tailored AI applications. Using Amazon Bedrock Knowledge Bases  and Amazon Bedrock Data Automation, organizations can create AI solutions  that truly understand their unique business context, terminology, and  requirements. Combined with Amazon Bedrock Guardrails, these capabilities  enhance the accuracy and relevance of AI-generated responses, while ensuring  that sensitive information remains protected within the organization's  control - enabling businesses to build secure and compliant enterprise-grade  generative AI solutions that accelerate time to value.

  ------------------------------------

    Session ID: 915921
    Track: AI Architects
    Speaker: Ben Hylak (Co-Founder)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 5 Jun 2025 02:20 PM
    Session Title: Testing the Un-Testable: Monitoring AI Products in the Wild
    Description:
    Evals are straightforward—like unit tests, they confirm your model got specific test cases right.
    
    But in the real world, your AI encounters millions of unpredictable interactions each day. How do you gauge user trust, identify frustrations, and adapt when there's no single "correct" output? Diving through endless logs and manually adding one eval at a time won't cut it.
    
    In this session, we'll explore how leading teams are moving beyond static evals; leveraging semantic analytics, LLM teachers, and AI-powered monitoring to deeply understand user experiences at scale—building AI products that don’t just pass tests, but genuinely resonate with users.

  ------------------------------------

    Session ID: 914798
    Track: AI Architects
    Speaker: Mark Bissell (Applied Interpretability Research )
    Format: Talk
    Room: Foothill F: Generative Media
    Time: 5 Jun 2025 02:40 PM
    Session Title: Why you should care about AI interpretability
    Description:
    The goal of mechanistic interpretability is to reverse engineer neural networks. Having direct, programmable access to the internal neurons of models unlocks new ways for developers and users to interact with AI — from more precise steering to guardrails to novel user interfaces. While interpretability has long been an interesting research topic, it is now finding real-world use cases, making it an important tool for AI engineers.

  ------------------------------------

    Session ID: 914912
    Track: AI Architects
    Speaker: Yegor Denisov-Blanch (Developer Productivity Researcher at Stanford University)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 5 Jun 2025 11:55 AM
    Session Title: Does AI Actually Boost Developer Productivity? (Stanford / 100k Devs Study)
    Description:
    Forget vendor hype: Is AI actually boosting developer productivity, or just shifting bottlenecks? Stop guessing.
    
    Our study at Stanford cuts through the noise, analyzing real-world productivity data from nearly 100,000 developers across hundreds of companies. We reveal the hard numbers: while the average productivity boost is significant (~20%), the reality is complex – some teams even see productivity decrease with AI adoption.
    
    The crucial insights lie in why this variance occurs. Discover which company types, industries, and tech stacks achieve dramatic gains versus minimal impact (or worse). Leave with the objective, data-driven evidence needed to build a winning AI strategy tailored to your context, not just follow the trend.
    

  ------------------------------------

    Session ID: 915974
    Track: AI Architects
    Speaker: Alex Duffy (Head of AI)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 2-6: Tiny Teams
    Time: 4 Jun 2025 02:40 PM
    Session Title: Benchmarks Are Memes: How What We Measure Shapes AI—and Us
    Description:
    Benchmarks shape more than just AI models—they shape our future. The things we choose to measure become self-fulfilling prophecies, guiding AI toward specific abilities and, ultimately, defining humanity’s evolving role in the AI era. Today’s benchmarks have propelled incredible progress, but now we have an exciting opportunity: thoughtfully designing benchmarks around what genuinely matters to us—cooperation, creativity, education, and meaningful human experiences.
    
    In this talk, we’ll explore how benchmarks function as powerful cultural memes, influencing not only technical outcomes but societal direction. Drawing on practical examples we have seen at Every consulting in industries like finance, journalism, education, and even personally making AI play diplomacy. We’ll uncover what makes a benchmark impactful, approachable, and inspiring. You’ll see our engaging new AI Diplomacy benchmark demo, illustrating vividly how thoughtful evaluation design can excite both engineers and the wider community.
    
    You’ll hopefully walk away inspired and equipped to define benchmarks intentionally, helping steer AI toward outcomes that truly matter.

  ------------------------------------

    Session ID: 933621
    Track: AI Architects
    Speaker: Laurie Voss (VP Developer Relations, LlamaIndex)
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 01:00 PM
    Session Title: Effective agent design patterns in production
    Description:
    At LlamaIndex we see a lot of agents built every day, and we've got a sense of what works and what doesn't. We've distilled those learnings down into a series of patterns and best practices for building real-world, production agents, and we're here to share them. You'll learn patterns for applying structure and guidance to famously nondeterministic LLMs and get concrete instruction on how to implement them.

  ------------------------------------

    Session ID: 916157
    Track: AI Architects
    Speaker: Nathan Wan (Head of AI)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 4 Jun 2025 02:00 PM
    Session Title: AI That Pays: Lessons from Revenue Cycle
    Description:
    While much of the AI innovation in healthcare has centered on clinical and patient-facing applications, Revenue Cycle Management (RCM) remains an underexplored yet critical domain. Given the growing financial pressures facing providers, rethinking how healthcare gets paid is essential to ensuring access and sustainability. The combination of which makes RCM an opportune area for AI disruption.
    
    This session explores how the combination of vast structured and unstructured data, often rule-based workflows, and direct financial opportunity to drive meaningful outcomes. We’ll also share practical lessons from our journey evolving a traditional machine learning mindset to incorporate the latest advances in Generative AI, and how that shift is reshaping what's possible in healthcare operations.

  ------------------------------------

    Session ID: 914401
    Track: AI Architects
    Speaker: Deepsha Menghani (Director of Engineering – AI)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 5 Jun 2025 11:15 AM
    Session Title: From Hype to Habit: How We’re Building an AI-First SaaS Company—While Still Shipping the Roadmap
    Description:
    What does it really take to move a modern SaaS company from AI experimentation to becoming truly AI-first?
    
    At Sprout Social, we’re in the midst of that transformation—rearchitecting strategy, systems, teams, and incentives to put AI at the heart of how we think, build, and deliver value. This is a story in motion: a behind-the-scenes look at how we’re evolving from isolated AI feature experiments to an AI-native operating model.
    
    I’ll share what we’re learning as we navigate the innovation dilemma—integrating disruptive AI capabilities without breaking what already works or our roadmap. That includes rethinking how we define success, how we hire, reward, grow talent, and how we handle legal and ethical complexity without slowing down. We’ll explore the real-world tensions between rapid innovation, value delivery, making progress on Responsible AI, all while elevating internal AI fluency, and engaging with the broader AI ecosystem to stay at the edge.
    
    This isn’t a playbook from the finish line—it’s a candid reflection from deep inside the journey.
    
    My goal is to help other leaders chart their own AI path with greater clarity, confidence, and care.

  ------------------------------------

    Session ID: 933610
    Track: AI Architects
    Speaker: Mike Chambers (AI/ML Specialist DA AWS)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 5 Jun 2025 12:15 PM
    Session Title: Ship it! Building Production-Ready Agents
    Description:
    Explore the practical challenges and solutions for deploying AI agents in real-world production environments. Through detailed technical analysis and practical examples, we'll examine strategies for building and orchestrating agent systems at scale. We'll cover critical infrastructure decisions, scalability frameworks, and best practices for creating robust, production-ready agent architectures.

  ------------------------------------

    Session ID: 904822
    Track: AI Architects
    Speaker: Denys Linkov (Head of ML)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 4 Jun 2025 02:20 PM
    Session Title: Structuring a modern AI team
    Description:
    You've been given an AI mandate but don't have additional headcount, what next? Re-skilling, up-skilling and team augmentation become essential to delivering on a new mandate. In this talk we'll cover strategies to structure cross functional AI teams with domain experts, software engineers and ML engineers. We'll cover key skills and milestones that each traditional role can contribute to in unique ways.

  ------------------------------------

    Session ID: 912033
    Track: AI Architects
    Speaker: Alvaro Morales (CEO)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 5 Jun 2025 11:15 AM
    Session Title: Monetizing AI: From Zero to Profit
    Description:
    As AI continues to transform industries, companies are faced with the critical challenge of effectively monetizing AI-driven products in a way that captures value, ensures customer adoption, and scales revenue sustainably. Unlike traditional SaaS models, AI-powered products have unique complexities - such as fluctuating usage patterns, variable compute costs, and evolving customer demands, making conventional pricing strategies unhelpful to the growth of an AI product-led startup.
    
    In this session, Alvaro Morales, CEO and co-founder of Orb, will explore why the often overlooked monetization aspect of AI is critical for businesses. He’ll share real-world examples and data to demonstrate how adaptive pricing models can drive cost savings, enhance customer experience, and reduce operational bottlenecks.
    
    Alvaro will lead a live demo, showcasing how engineers can simulate AI pricing strategies and subsequently integrate them with a simple plug-and-play solution. He’ll also share how real-world revenue simulations enable companies to test and refine pricing before implementing — reducing risk, boosting adoption, and unlocking new revenue streams. As a quick example, cloud software development platform Replit was looking to adopt a usage-based pricing model for a new product, but their existing billing system couldn't support the new model, and building a new billing system would delay the launch timeline. In order to get things done, they turned to Orb, which enabled them to make pricing changes up to the last minute. After the launch, Orb became the single source of truth for both Replit and its customers - providing usage alerts to notify Replit when users hit cost thresholds and provide insights into user spend and payment methods.
    
    Key takeaways:
    The challenge of AI monetization – Why traditional subscription-based SaaS pricing models don’t work for AI-powered products.
    Precision pricing – Exploring how usage-based, tiered, and hybrid pricing models can maximize revenue potential.
    Revenue simulation for AI pricing – Leveraging real-time data to test, adjust and optimize pricing strategies.
    Avoiding common pricing pitfalls – Identifying mistakes that can lead to revenue leakage and customer churn.
    
    This session is designed for AI executives, product leaders, and engineering teams looking for actionable strategies to build adaptive, scalable pricing models that drive long-term growth and profitability.
    
    

  ------------------------------------

    Session ID: 941249
    Track: AI Architects
    Speaker: Alessio Fanelli (Co-Host, Latent Space)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 4 Jun 2025 11:15 AM
    Session Title: Rise of the AI Architect
    Description:
    As the amount of consumer facing AI products grows, the most forward leaning enterprises have created a new role: the AI Architect. These leaders are responsible for helping define, manage, and evolve their company's AI agent experiences over time.
    
    In this session, Clay Bavor (Cofounder of Sierra) will join Alessio Fanelli (co-host of Latent Space) in a fireside chat to share what it means to be an AI Architect, success stories from the market, and the future of the role.

  ------------------------------------

    Session ID: 936933
    Track: AI Architects
    Speaker: Nina Lopatina (Lead Developer Advocate)
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: Forget RAG Pipelines—Build Production-Ready AI Agents in 15 Minutes
    Description:
    Want to take advantage of your data, but don't want to reinvent RAG infrastructure? Join our workshop and see how you can deploy Agentic RAG in minutes using Contextual AI's managed RAG solution. We'll explore how Contextual handles intelligent parsing and chunking of your data, retrieves information with state of the art accuracy, and generates responses with a multi layered set of guardrails against hallucinations. Together, we'll build an end-to-end Agentic RAG pipeline and demonstrate its integration with Claude Desktop via MCP, so you can see how this could plug into your existing ecosystem.
    
    By the end of this session, you'll have a functioning Agentic RAG prototype that you can easily customize and deploy to production for your specific use cases, even with complex, unstructured documents.

  ------------------------------------

    Session ID: 936933
    Track: AI Architects
    Speaker: Rajiv Shah (Chief Evangelist)
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: Forget RAG Pipelines—Build Production-Ready AI Agents in 15 Minutes
    Description:
    Want to take advantage of your data, but don't want to reinvent RAG infrastructure? Join our workshop and see how you can deploy Agentic RAG in minutes using Contextual AI's managed RAG solution. We'll explore how Contextual handles intelligent parsing and chunking of your data, retrieves information with state of the art accuracy, and generates responses with a multi layered set of guardrails against hallucinations. Together, we'll build an end-to-end Agentic RAG pipeline and demonstrate its integration with Claude Desktop via MCP, so you can see how this could plug into your existing ecosystem.
    
    By the end of this session, you'll have a functioning Agentic RAG prototype that you can easily customize and deploy to production for your specific use cases, even with complex, unstructured documents.

  ------------------------------------

    Session ID: 941906
    Track: AI Architects
    Speaker: Alex Atallah (CEO OpenRouter, co-founder of OpenSea)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 04:35 PM
    Session Title: fun stories from building OpenRouter and where all this is going
    Description:
    How the first LLM aggregator got started, some of the weird moments in its early growth, architecture challenges, and where we'll be taking it down the road



======================================================================
---  Track: AI PRODUCT MANAGEMENT (TBA) ---
======================================================================

    Session ID: 925337
    Track: AI Product Management
    Speaker: Raiza Martin (CEO & Co-Founder Huxe || Previously NotebookLM)
    Format: Talk
    Room: Foothill G 1&2: Product Management
    Time: 4 Jun 2025 11:15 AM
    Session Title: [PM Keynote] Everything is ugly so go build something that isn't
    Description:
    We're in an awkward adolescent phase of AI product (design). But what if this chaotic moment is actually our greatest opportunity? Enter the rebuilding revolution.
    
    In this talk, we'll explore how the current state of AI interfaces offers a once-in-a-career chance to rethink fundamental UX patterns, with practical guidance on avoiding common pitfalls that plague first-generation AI products.
    
    Learn how to balance technical constraints with user needs, identify which conventional wisdom to keep versus discard, and ship AI experiences that actually delight users rather than frustrate them.

  ------------------------------------

    Session ID: 940848
    Track: AI Product Management
    Speaker: Tom Moor (Head of Engineering)
    Format: Talk
    Room: Foothill G 1&2: Product Management
    Time: 4 Jun 2025 02:40 PM
    Session Title: Building the platform for agent coordination
    Description:
    Learn how we're evolving Linear into an operating system for engineering teams to ship product with agents as a first class citizen.

  ------------------------------------

    Session ID: 945392
    Track: AI Product Management
    Speaker: Kenneth  Auchenberg (Partner at AlleyCorp l, ex Product Lead at Stripe, Microsoft (VS Code))
    Format: Talk
    Room: Foothill G 1&2: Product Management
    Time: 4 Jun 2025 11:55 AM
    Session Title: Shipping something to someone always wins
    Description:
    Learnings from building products at Stripe and applying them in an AI native word

  ------------------------------------

    Session ID: 914842
    Track: AI Product Management
    Speaker: James Lowe (Head of AI Engineering)
    Format: Talk
    Room: Foothill G 1&2: Product Management
    Time: 4 Jun 2025 11:35 AM
    Session Title: Why your product needs an AI product manager, and why it should be you
    Description:
    So you've built another cool demo. Now what? You have hype, but not impact. You have kudos but no users. Ultimately you have a demo, but not a product.
    
    The unique uncertainty of AI technology demands a new approach – beyond traditional product management. You need an AI Product Manager. This talk explains why this role is essential for building real AI products, using real case studies from the incubator for Artificial Intelligence in the UK Government.
    
    More importantly, it reveals why your technical depth makes you uniquely suited to step into this critical leadership gap. Discover why could be the ideal candidate to be the AI Product Manager your product needs, and how to step into that role.

  ------------------------------------

    Session ID: 914975
    Track: AI Product Management
    Speaker: Brian Balfour (Founder & CEO, Reforge)
    Format: Keynote
    Room: Foothill G 1&2: Product Management
    Time: 4 Jun 2025 12:15 PM
    Session Title: Survive the AI Knife-Fight: Building Products That Win
    Description:
    If you’ve ever been blocked by vague specs, shifting goals, or chasing “vibes,” things have only gotten messier in the age of AI. Everyone is obsessing over engineers doing PM work and PMs cranking out prototypes—but that skips the hardest question: What should we build, and why will it win? Today’s competitive landscape is a knife-fight.  When it’s trivial to ship “something,” true differentiation becomes brutally difficult.

  ------------------------------------

    Session ID: 915648
    Track: AI Product Management
    Speaker: Ben Stein (CEO)
    Format: Talk
    Room: Foothill G 1&2: Product Management
    Time: 4 Jun 2025 02:00 PM
    Session Title: Shipping Products When You Don’t Know What they Can Do
    Description:
    A customer recently asked me: “Hey, can I tag your AI agent in a Google Doc comment?”
    
    The honest answer: I have no idea! We never designed our agents to handle Google Doc comments, but we tried it anyway… and it worked! The agent performed beautifully, the customer was thrilled, and I was left bewildered.
    
    Welcome to Product Management for AI agents, where roadmaps are fuzzy and we only learn the boundaries of our products after they’re released. When a product doesn’t follow predefined requirements but instead learns and improvises at runtime, PMs must give up control and lean into uncertainty, curiosity, experimentation, and fast feedback loops.
    
    This talk is a field guide for Product/Engineering teams navigating this new reality. We’ll cover how to write specs for affordances instead of features, how to use AI evals as a product development tool, and how to perform User Acceptance Testing on undocumented emergent behavior. Most importantly, we’ll explore how to build trust with customers even when the answer is, truthfully, “I don’t know.”
    
    If you’re managing AI-native products in 2025 the same way you managed web apps in 2020, you might find yourself A/B testing an agent that decided to go off and do C, D, and E all by themselves!
    

  ------------------------------------

    Session ID: 933474
    Track: AI Product Management
    Speaker: Kenneth DuMez (DevRel Lead, Graphite)
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 03:15 PM
    Session Title: Cattle, not genies: building AI agents from first principles
    Description:
    As magical as they may seem, AI agents should be treated like any other software system. This talk will cover the best practices in designing and building AI systems including observability, security hardening, and proper UX.

  ------------------------------------

    Session ID: 933686
    Track: AI Product Management
    Speaker: Michael Grinich (Founder & CEO, WorkOS )
    Format: Talk
    Room: SOMA: AI Architects
    Time: 5 Jun 2025 02:00 PM
    Session Title: CIAM for AI: Who Are Your Agents and What Can They Do?
    Description:
    AI agents are changing the way modern SaaS products operate. Whether automating workflows, integrating with APIs, or acting on behalf of users, AI-driven assistants and autonomous systems are becoming core product features. But securing these agents presents a fundamental challenge: How do you authenticate AI agents? How do you control what they can access? How do you ensure they act within the right permissions? This talk will explore these concepts and more while highlighting current research and best practices.

  ------------------------------------

    Session ID: 915770
    Track: AI Product Management
    Speaker: Eliza Cabrera (Principal AI Product Manager @ Workday)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 4 Jun 2025 02:40 PM
    Session Title: Build Dynamic Products, and Stop the AI Sideshow
    Description:
    AI across product, GTM, and strategy was a great approach in 2023, but by now, we all already know that AI is disrupting the global landscape and how business gets done. Now is the time to stop chasing your competitors, and letting the technology lead your product strategy. There’s a better way to build that will allow you to differentiate and keep pace.
    
    Join AI product managers Eliza Cabrera and Jeremy Silva to learn how to crawl, walk, and run your way towards building dynamic products.
    

  ------------------------------------

    Session ID: 933622
    Track: AI Product Management
    Speaker: Chris Hernandez (Manager of AI Speech Analytics at Chime)
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 11:00 AM
    Session Title: The Build-Operate Divide: Bridging Product Vision and AI Operational Reality
    Description:
    Product leaders see AI possibilities. Operations teams see implementation chaos. That disconnect can kill promising AI features before they ever reach users.
    
    In this session, Chris Hernandez and Jeremy Silva share an integrated framework that bridges product strategy and operational reality. You'll learn how they transformed fragmented AI workflows into a unified approach—from prototyping and prompt testing to human review loops and model benchmarking.
    
    We’ll explore how to build evaluation systems that satisfy both technical and business stakeholders, create effective HITL processes from day one, and use QA as a strategic enabler of generative AI quality. Most importantly, we’ll show how product and operations can move beyond friction—working together to deliver AI features that scale responsibly and ship faster, with confidence.

  ------------------------------------

    Session ID: 915770
    Track: AI Product Management
    Speaker: Jeremy Silva (Product Lead )
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 4 Jun 2025 02:40 PM
    Session Title: Build Dynamic Products, and Stop the AI Sideshow
    Description:
    AI across product, GTM, and strategy was a great approach in 2023, but by now, we all already know that AI is disrupting the global landscape and how business gets done. Now is the time to stop chasing your competitors, and letting the technology lead your product strategy. There’s a better way to build that will allow you to differentiate and keep pace.
    
    Join AI product managers Eliza Cabrera and Jeremy Silva to learn how to crawl, walk, and run your way towards building dynamic products.
    



======================================================================
---  Track: AI IN ACTION (TBA) ---
======================================================================

    Session ID: 927324
    Track: AI in Action
    Speaker: Sarah Guo (Founder)
    Format: Keynote
    Session Title: The 2025 AI Landscape (tba)
    Description:
    Sarah Guo shares her insights on the evolving landscape of AI investment and innovation.

  ------------------------------------

    Session ID: 935987
    Track: AI in Action
    Speaker: Simon Willison (AI Engineer)
    Format: Keynote
    Session Title: Frontier LLMs: What's Changed, What Won't
    Description:
    What's changed in the world of LLMs since the AI World's Fair last year? A lot!
    
    I'll be taking full advantage of my role as a fiercely independent researcher to review the past 12 months of advances in the field and catch everyone up on the latest models, free from any influence of vendors or employers.
    

  ------------------------------------

    Session ID: 936800
    Track: AI in Action
    Speaker: Asha  Sharma (CVP, Head of Product, Microsoft AI Platform)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 4 Jun 2025 09:20 AM
    Session Title: Spark to System: Building the Open Agentic Web
    Description:
    AI builders no longer ask whether to use agents—but how many and how fast. In this kickoff keynote, Microsoft’s Asha Sharma shows what happens when natural language creation meets an industrial grade backbone.  Watch live demos—to see agents move from idea to production in real time. Walk out with the commands, repos, and open protocols to build your piece of the agentic web.

  ------------------------------------

    Session ID: 910732
    Track: AI in Action
    Speaker: Philipp Schmid (AI Developer Experience)
    Format: Workshop
    Room: SOMA: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: AI Engineering with the Google Gemini 2.5 Model Family
    Description:
    Hands on Workshop on learning to use Gemini 2.5 Pro in combination with Agentic tooling and MCP Servers.

  ------------------------------------

    Session ID: 935461
    Track: AI in Action
    Speaker: Logan Kilpatrick (Product, Google Deepmind)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 09:05 AM
    Session Title: A year of Gemini progress + what comes next
    Description:
    Over the last year, Google and Gemini models have shown rapid progress across all dimensions (model, product, etc). Let's highlight all the work that has happened, how we got the worlds best models, and where we are going next (across both the model landscape and out AI products).

  ------------------------------------

    Session ID: 925974
    Track: AI in Action
    Speaker: Sean Grove (Member of Technical Staff)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 04:55 PM
    Session Title: Prompt Engineering is Dead - Everything is a Spec
    Description:
    [!!Subject to change!!]
    
    Large models are trained through mountains of data and learned reward functions, yet - quis custodiet ipsos custodes? - what exactly are those amorphous blobs of data and rewards trying to specify? Building LLMs in any domain demands both clarity of thought and the skill to communicate those thoughts precisely - not only to other humans but to the models themselves. Without either, we risk unpleasant surprises.
    
    This talk dives into:
    •	Why prompt spaghetti and data gumbo inevitably collapse at scale, unleashing behaviors we never intended - while a rigorously versioned spec keeps safety, personality, and UX firmly aligned, and makes incidents easier and faster to diagnose and fix.
    •	How OpenAI’s public Model Spec provides a clear template, complemented by emerging “dev tools” that turn hazy human intent into precise, human-and-machine-readable policy.
    •	How deliberative alignment training teaches models to first read and reason about the spec, boosting robustness without inflating context windows.
    •	Practical tactics for catching ambiguity, untangling contradictions, and preserving global consistency. Plus, techniques for verifying that deployed models truly follow the contract we crafted.
    
    Resources: Model Spec (2025‑04‑11) and Deliberative Alignment, Guan et al., 2024.

  ------------------------------------

    Session ID: 930540
    Track: AI in Action
    Speaker: Ilan Bigio (Developer Experience)
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: Model-Maxxing: RFT, DPO, SFT (Fine-tuning with OpenAI)
    Description:
    Covering all forms of fine-tuning and prompt engineering, like SFT, DPO, RFT, prompt engineering / optimization, and agent scaffolding.

  ------------------------------------

    Session ID: 905792
    Track: AI in Action
    Speaker: Ahmad Awais (Founder & CEO, CHAI.new by Langbase)
    Format: Online Talk
    Session Title: Why the Best AI Agents Are Built Without Frameworks (Primitives over Frameworks)
    Description:
    Cursor, v0, chai.new, lovable, bolt — what do they all have in common? They weren’t built on AI frameworks—they're built using primitives optimized for speed, scale, and flexibility.
    
    LLMs are evolving fast—like, literally every week. New standards pop up (looking at you, MCP), and APIs change faster than you can keep track. Frameworks just can't move at this speed.
    
    In this talk, I'll challenge conventional engineering wisdom, sharing my real-world experience scaling thousands of AI agents to handle over 100 million monthly runs.
    
    You'll discover how using AI primitives can dramatically speed up iteration, provide bigger scale, and simplify maintenance.
    
    I'll share eight practical agent architectures—covering memory management, auto tool integration, and simple serverless deployment—to help you quickly build reliable and scalable AI agents.
    
    By the end of this session, you'll clearly see why we must rethink and rebuild our infrastructure and focus on AI-native primitives instead of heavy, bloated, and quickly outdated frameworks.
    
    I wonder if we need another S3-moment but for the AI agent infrastructure.

  ------------------------------------

    Session ID: 914551
    Track: AI in Action
    Speaker: Patrick Debois (AI Product Engineer - AI Native Dev Advisor)
    Format: Online Talk
    Session Title: The 4 Patterns of AI Native Development
    Description:
    AI is fundamentally reshaping software development roles and activities. While the change is obvious, understanding the actual shifts taking place on the individual developer remains challenging.
    
    In this talk, we introduce the four AI Native Dev patterns that are currently emerging:
    - From producer to manager: we say what AI needs to do
    - From implementation to intent: we care less on the how but focus on the why
    - From delivery to discovery: we experiment and learn
    - From content creation to knowledge: capture knowhow to get better
    
    We backup these patterns by showcasing features in tools that support these shift.
    
    The aim of the patterns is to help grasp how to position you and your team members 's career effectively in this changing landscape.

  ------------------------------------

    Session ID: 933688
    Track: AI in Action
    Speaker: Zack Proser (Open source hacker. Dev Education at WorkOS)
    Format: Workshop
    Room: Salons 2-6: Workshops
    Time: 3 Jun 2025 03:30 PM
    Session Title: AI Pipelines and Agents in Pure TypeScript with Mastra.ai
    Description:
    This hands-on workshop introduces Mastra.ai, a TypeScript framework that streamlines the development of agentic AI systems compared to traditional approaches using LangChain and vector databases. Participants will learn to build structured AI workflows with composable tools and reliable control, enabling them to create internal AI assistants that can handle requests like data cleaning, email drafting, and document summarization with minimal code. The session covers Mastra installation, running a local MCP server, defining tools and agents in TypeScript, using the Mastra playground, and implementing practical examples such as RAG setups and tool-chaining agents—all designed to equip attendees with the skills to develop scalable AI-driven internal tools based on sound software engineering principles rather than just experimental prompts.

  ------------------------------------

    Session ID: 933612
    Track: AI in Action
    Speaker: Antje Barth (Principal Developer Advocate)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 4 Jun 2025 04:05 PM
    Session Title: Building  Agents at Cloud-Scale
    Description:
    Let's explore  practical strategies for building and scaling agents in production. Discover  how to move from local MCP implementations to cloud-scale architectures and  how engineering teams leverage these patterns to develop sophisticated agent  systems. Expect a mix of demos, use case discussions, and a glimpse into the  future of agentic services!

  ------------------------------------

    Session ID: 916008
    Track: AI in Action
    Speaker: Charlie Guo (Founder & Author)
    Format: Online Talk
    Session Title: Analyzing 10,000 Sales Calls with AI in 2 Weeks
    Description:
    AKA: The Data Goldmine You’re Probably Ignoring
    
    Most companies are sitting on mountains of customer data: sales calls, customer support tickets, product reviews, user feedback, and social media interactions. But the truth is that most of this valuable data remains untouched - or worse, unusable.
    
    In this case study, I'll share how our team leveraged Claude to analyze 10,000 sales call transcripts in a handful of days, extracting deep customer insights at scale. We'll cover the AI engineering challenges we faced, including model selection tradeoffs, reducing hallucinations with retrieval-augmented generation (RAG), and optimizing prompt caching to dramatically cut costs and latency (by up to 90% in some cases).
    
    This isn't theoretical - it's a practical blueprint with concrete ROI metrics.
    Perfect for AI engineers, data scientists, and anyone sitting on mountains of unstructured customer data they can't analyze at scale.
    
    Read more at https://www.ignorance.ai/

  ------------------------------------

    Session ID: 915928
    Track: AI in Action
    Speaker: Ishan Anand (AI Consultant and educator)
    Format: Workshop
    Room: Golden Gate Ballroom A: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: How LLMs work for Web Devs: GPT in 600 lines of Vanilla JS
    Description:
    Don't be intimidated. Modern AI can feel like magic, but underneath the hood are principles that web developers can understand, even if you don't have a machine learning background. In this workshop, we'll explore a complete GPT-2 inference implementation built entirely in Vanilla JS. This JavaScript translation of the popular "Spreadsheets-are-all-you-need" approach will let you debug and step through a real LLM line by line without the overhead of learning a new language, framework, or even IDE.
    
    All the major LLMs, including ChatGPT, Claude, DeepSeek, and Llama, inherit from GPT-2's architecture, making this exploration a solid foundation to understand modern AI systems and comprehend the latest research.
    
    While we won't have time to cover *everything*, you'll gain the essential knowledge to understand the key concepts that matter when building with LLMs, including how they:
    
    -Convert raw text into meaningful tokens
    - Represent semantic meaning through vector embeddings
    - Train neural networks through gradient descent
    - Generate text with sampling algorithms like top-k, top-p, and temperature
    
    This intense but beginner-friendly workshop is designed specifically for web developers diving into ML and AI for the first time. It’s your "missing AI degree" in just two hours. You'll walk away with an intuitive mental model of how Transformers work that you can apply immediately to your own LLM-powered projects.

  ------------------------------------

    Session ID: 936937
    Track: AI in Action
    Speaker: Corey Cooper (Developer Relations Manager @ Circle)
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 10:40 AM
    Session Title: Automating Escrow with USDC and AI
    Description:
    This workshop explores how USDC, AI, and smart contracts can streamline escrow by automating fund release based on task or process verification. By using AI to interpret off-chain signals such as document validation, delivery confirmations, or milestone completion, we can trigger secure, programmable USDC payouts without manual intervention. The result is a faster, trust-minimized escrow system ideal for services, trade, and gig economy use cases.

  ------------------------------------

    Session ID: 933575
    Track: AI in Action
    Speaker: Beyang Liu (Co-founder and CTO, Sourcegraph)
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 03:30 PM
    Session Title: The emerging skillset of wielding coding agents
    Description:
    It's raining coding agents. But while many are saying they're feeling the AGI, others say they're not that useful for serious programming. How much is hype and how much is a skill issue? We'll share empirical observations that help explain the divergence of developer opinion. And we'll cover emergent strategies uncovered by users of Amp, a new coding agent in research preview, that can help you employ agents to complete more complex tasks in production codebases.

  ------------------------------------

    Session ID: 943904
    Track: AI in Action
    Speaker: Barr Yaron (Partner at Amplify Partners)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 04:25 PM
    Session Title: State of AI Engineering 2025
    Description:
    Come hear the results of the 2025 State of AI Engineering.

  ------------------------------------

    Session ID: 916050
    Track: AI in Action
    Speaker: Ben Holmes (Product Engineer at Warp)
    Format: Online Talk
    Session Title: ChatGPT is poorly designed. So I fixed it
    Description:
    Let's fix ChatGPT's greatest design sins. We'll design and build a working app that makes ChatGPT multi-modal and multi-model. And no, you don't need to know what those words mean to use it.
    
    Download the source code: https://github.com/bholmesdev/fixgpt
    
    References from this video:
    - Try https://warp.dev to vibe code your own solution
    - Watch Scott and Mark's podcast episode, "how to not ship the org chart:" https://www.youtube.com/watch?v=Z1yYcUFzH2A
    - Read "Why is AI marketing so, so bad?" by Evan Armstrong at The Leverage: https://www.gettheleverage.com/p/why-is-ai-marketing-so-so-bad
    -
    

  ------------------------------------

    Session ID: 916149
    Track: AI in Action
    Speaker: Henry Mao (Founder @ Smithery.ai)
    Format: Online Talk
    Session Title: Are MCPs Overhyped? A Rant about MCPs
    Description:
    AI agents are becoming smarter but lack the broad capability to take action in practice. At Smithery, we believe the missing link is an AI orchestration layer—a unified interface that gives agents context, action, and a way to learn from real interactions. This talk explores the problem space in the Model Context Protocol (MCP) ecosystem and how we're tackling it at Smithery.

  ------------------------------------

    Session ID: 933626
    Track: AI in Action
    Speaker: Philipp Krenn (Code and conference monkey)
    Room: Salons 9-15: Expo Hall
    Time: 5 Jun 2025 01:00 PM
    Session Title: Hope is Not a Strategy: Retrieval Patterns for MCP
    Description:
    MCP is a solid integration layer — but how does it hold up when it comes to output quality? Often, not as well as you'd like. Here are some practical retrieval patterns, from basic to advanced, that worked well in my experiments:
    * Naive: Just plug in plain MCP and hope the LLM gets it right. Sometimes it does. Sometimes you’ll need a miracle.
    * Semantic: Add more descriptive field names and extra metadata. It helps — but usually just a bit.
    * Templated: Use a structured template and have the LLM fill it out step by step. More effort, but by far the most reliable results.

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    Session ID: 935982
    Track: AI in Action
    Speaker: Kent C. Dodds (Software Engineer Educator)
    Format: Online Talk
    Session Title: Letting AI Interface with Your App with MCP
    Description:
    We are entering a new era of user interaction. It's being built right before our very eyes and changing rapidly. As crazy as it sounds, soon each one of us will get our own Jarvis capable of performing actually useful tasks for us with a completely different user interaction mechanism than we're used to.
    
    But someone's gotta give Jarvis the tools to perform these tasks, and that's where we come in.
    
    In this talk, Kent will demonstrate an MCP server with an AI assistant to help us catch the vision of what this future could look like and our role in it.

  ------------------------------------

    Session ID: 933646
    Track: AI in Action
    Speaker: Jesús Barrasa (AI Field CTO)
    Room: Juniper: Expo Sessions
    Time: 5 Jun 2025 10:45 AM
    Session Title: Why Your Agent’s Brain Needs a Playbook: Practical Wins from Using Ontologies
    Description:
    You're trying to guide how your agents think and act. Code-orchestrated workflows are too rigid, but LLMs charting their own course feel too chaotic. When you need a middle ground, it’s time to reach for the secret weapon: ontologies. These graph-shaped fragments of actionable knowledge can fill in critical gaps.
    
    In this talk, we’ll explore together how ontologies bring structure, semantics, and sanity to GenAI-powered applications. You’ll learn when they’re useful, how to apply them, and what kinds of problems they help solve. Through practical examples, we’ll show how ontologies (1) guide knowledge graph construction, (2) add a semantic layer for more efficient and accurate retrieval (GraphRAG), and (3) encode domain logic you don’t want to leave up to the LLM.

  ------------------------------------

    Session ID: 916107
    Track: AI in Action
    Speaker: Jun Yu Tan (Founding Engineer, Tusk)
    Format: Online Talk
    Session Title: Designing AI to Scale Human Thought
    Description:
    Forget the hype of AI automation replacing jobs. The future lies in human augmentation — revealing blind spots, sparking creativity, and amplifying thoughtful decision-making. In this talk, we’ll explore the principles that distinguish augmentation from automation in AI UX design, covering interaction patterns, design principles, and trust-building feedback loops. Drawing from real-world experiences building AI-powered tools and beyond, we’ll dive into concepts for crafting interfaces that empower users to think smarter, not just work faster. Expect practical insights and a fresh perspective on AI’s role as a collaborative partner.
    
    AI Augmentation: https://jytan.net/blog/2025/ai-augmentation/
    Tusk: https://www.usetusk.ai/

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    Session ID: 933632
    Track: AI in Action
    Speaker: Numair Baseer (Deployed Engineer, Windsurf)
    Format: Workshop
    Room: Golden Gate Ballroom A: Workshops
    Time: 3 Jun 2025 03:30 PM
    Session Title: Agentic Coding with Windsurf
    Description:
    Agentic coding marks a new era in software development, where AI agents take on autonomous roles in coding tasks. The Windsurf IDE embodies this shift by integrating intelligent agents like Cascade, which maintain full codebase context to perform multi-file edits, run terminal commands, and suggest changes through tools like Supercomplete and Flows. In this session, we will explore features that allow developers to guide strategy while the AI handles execution, enhancing productivity and enabling more creative, high-level work.

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    Session ID: 933568
    Track: AI in Action
    Speaker: Lou Bichard (Product Manager, Gitpod)
    Format: Online Talk
    Room: Salons 9-15: Expo Hall
    Time: 4 Jun 2025 01:30 PM
    Session Title: The Agent Cockpit: Reimagining Developer UX for Orchestrating AI Fleets
    Description:
    Today's development experiences are trapped in a craftsperson paradigm - one human, one agent, one task. But true productivity comes when developers can orchestrate multiple agents working in parallel, just as managers coordinate teams. This talk explores the radical UX transformation needed to support this new "software conductor" workflow. We'll share our discoveries building a multi-modal interface where developers fluidly shift between conversational commands, transient editing, and deep IDE immersion based on task complexity. Learn how notification design, contextual prompting, and background task vizualization enable true parallel development with AI and come together in a command centre like interface.

  ------------------------------------

    Session ID: 902517
    Track: AI in Action
    Speaker: Allie Howe (vCISO | Founder of Growth Cyber)
    Format: Online Talk
    Session Title: How to Build Trustworthy AI
    Description:
    Trust is a multifaceted outcome that results when product and engineering teams work together to build AI that is aligned, explainable, and secure. Learn strategies for how to build trustworthy AI and why trust is paramount for AI systems.
    
    Trustworthy AI = AI Security + AI Safety
    
    Learn about the differences between AI Security and AI Safety and how the three focus areas of MLSecOps + AI Red Teaming + AI Runtime Security can help you achieve both and ultimately build Trustworthy AI.
    
    Trustworthy AI Issues in the news:
    https://x.com/syddiitwt/status/1923427722241487297
    https://fingfx.thomsonreuters.com/gfx/legaldocs/egvblxokkvq/Walters%20v%20OpenAI%20-%20order.pdf?ref=claritasgrc.ai
    
    MLSecOps Resources
    Modelscan https://github.com/protectai/modelscan
    Community: mlsecops.com
    
    AI Red Teaming Resources:
    https://azure.github.io/PyRIT/
    https://ashy-coast-00aeb501e.6.azurestaticapps.net/MS_AIRT_Lessons_eBook.pdf
    
    AI Runtime Security Resources:
    https://www.pillar.security/solutions#ai-detection
    https://noma.security/
    
    Showcasing Trustworthy AI to Customers/Prospects
    https://www.vanta.com/collection/trust/what-is-a-trust-center

  ------------------------------------

    Session ID: 933462
    Track: AI in Action
    Speaker: Kenneth DuMez (DevRel Lead, Graphite)
    Format: Workshop
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 10:45 AM
    Session Title: The fastest software dev workflow in the world: AI meets stacked diffs
    Description:
    Learn the secrets behind the workflows that engineers at the fastest moving companies in the world are using to build software for billions of users worldwide. This workshop will cover a comprehensive overview of how to leverage generative AI to write code, how to stack and submit these pull requests, and finally how to use AI to review them.

  ------------------------------------

    Session ID: 933629
    Track: AI in Action
    Speaker: Sam Alba (Co-Founder of Dagger)
    Room: Willow: Expo Sessions
    Time: 4 Jun 2025 12:45 PM
    Session Title: How to trust an agent with software delivery
    Description:
    AI-powered agents promise faster, easier software delivery, but their unpredictable behavior often makes engineers hesitant to fully trust them with critical workflows. Sam Alba, Co-founder of Dagger (and previously co-creator of Docker), explains how teams can reliably integrate agents into their delivery pipelines by shifting how they structure and manage automation.
    
    He'll share four practical strategies learned from real-world experience:
    
    1. Treat agents as workflow participants, not isolated tools.
    Stop using agents as disconnected scripts or IDE plugins. Treating them as first-class parts of your delivery process simplifies your architecture, reduces hidden complexity, and makes agent outcomes more predictable.
    
    2. Use many small agents instead of one big one.
    Just as software evolved from monoliths to microservices, software delivery benefits from smaller, specialized agents with clearly defined responsibilities. Smaller agents are easier to understand, maintain, and integrate.
    
    3. Define clear environments—the real lever for reliability.
    Instead of chasing perfect prompts or models, focus on clearly defining the tools, resources, and permissions around your agents. Precisely controlling their environments makes agents behave consistently and reliably.
    
    4. Design workflows for easy debugging and observability.
    Agents will sometimes fail unexpectedly. Sam will share simple, effective ways to build clear tracing and observability into your workflows from the start, making debugging quicker and less frustrating.
    
    You'll leave with practical, immediately usable techniques that give you the confidence to trust AI agents in your software delivery pipelines.

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    Session ID: 933607
    Track: AI in Action
    Speaker: Duan Lightfoot (AWS, Sr. Cloud Networking Developer Advocate)
    Format: Workshop
    Room: Golden Gate Ballroom A: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: Building Agents with Amazon Nova Act and MCP
    Description:
    In this 2-hour workshop, participants will gain practical hands-on experience building sophisticated AI agents using Amazon's agent technologies. You'll learn to build agents that can navigate the web like humans, perform complex multi-step tasks, and leverage specialized tools through natural language commands. You’ll explore Amazon Nova Act for reliable web navigation, Model Context Protocol (MCP) for connecting agents to external data sources and APIs, and Amazon Bedrock Agents for orchestrating complex workflows. Through guided exercises, you'll create agents capable of retrieving information and taking action across web applications, all through natural language interactions. By the end of this workshop, you'll have the practical skills to build AI agents that can browse websites, interact with web interfaces, and solve multi-step problems by combining these powerful Amazon technologies.

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    Session ID: 933633
    Track: AI in Action
    Speaker: Sam  Fertig (Deployed Engineer, Windsurf)
    Format: Talk
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 03:30 PM
    Session Title: The Eyes Are The (Context) Window to The Soul: How Windsurf Gets to Know You
    Description:
    Sometimes it seems like Windsurf knows you a little too well. It's one thing to generate generic code, but to predict your next intent? From matching existing code patterns and styles to tracking how local changes affect the larger codebase, this talk digs into the technical challenges of context awareness and why simply indexing code falls short. Relive our journey tackling the core issue in the AI IDE space : balancing retrieval quality with latency constraints and scaling effectively as codebases grow. For those curious about the infrastructure behind context-aware AI, this talk offers insights into our approach of turning massive codebases into collections of useful context.

  ------------------------------------

    Session ID: 905421
    Track: AI in Action
    Speaker: Ofer Mendelevitch (Vectara - the trusted GenAI product platform)
    Format: Online Talk
    Session Title: open-rag-eval: RAG Evaluation without "golden" answers.
    Description:
    Open-RAG-Eval is an open-source framework that revolutionizes RAG evaluation by harnessing the power of LLM judges for scalable, automated evaluation without the need for golden answers or golden chunks. Building on pioneering research from the University of Waterloo, this framework integrates innovative tools like UMBRELA for reference-free relevance scoring and AutoNuggetizer for automated fact-checking. Designed with a flexible connectors architecture, it seamlessly plugs into any RAG pipeline while delivering fast, transparent, and interpretable metrics on retrieval, generation, and hallucination in RAG.

  ------------------------------------

    Session ID: 916069
    Track: AI in Action
    Speaker: Iman  Makaremi (Head of AI Product, Catio building Enterprise Architecture Copilot)
    Format: Online Talk
    Session Title: The Multi-agent Orchestration Stack: Building an AI Copilot with Bedrock, Flyte & LangGraph
    Description:
    As LLMs move into enterprise workflows, developers face a new kind of architecture challenge: how do you build reliable, interpretable systems powered by agents and reasoning?
    
    This talk unpacks how we designed and implemented an AI orchestration framework for enterprise architecture — combining LangGraph for multi-agent workflows, Flyte for distributed execution, and AWS Bedrock for LLM inference using Claude 3. The product: an AI copilot for enterprise architects, deeply rooted in your tech stack context.
    
    At the core of this system is a domain-specific **knowledge graph** that acts as long-term memory for the agents. It enables persistent, structured representations of architectural state, system dependencies, and business context — giving the agents the grounding they need to generate accurate recommendations, translate natural language into SQL or code, and maintain continuity across workflows.
    
    We’ll also cover how we’ve integrated observability practices — including planned OpenTelemetry instrumentation — to trace and debug autonomous AI systems in production.
    
    If you’re a developer or AI engineer thinking beyond the chatbot and looking to embed reasoning into complex system design and data tasks, this talk offers an end-to-end blueprint — from orchestration and grounding to production monitoring.

  ------------------------------------

    Session ID: 933685
    Track: AI in Action
    Speaker: Tejashwa Tiwari (Analytics and Automation Engineer)
    Room: Salons 9-15: Expo Hall
    Time: 4 Jun 2025 01:45 PM
    Session Title: Windsurf & Wonders
    Description:
    Come learn about why Windsurf is the premiere choice for engineers and enterprises alike in applications of AI for development.

  ------------------------------------

    Session ID: 933716
    Track: AI in Action
    Speaker: Charles Frye (Building useful technology out of large neural networks)
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 12:45 PM
    Session Title: How fast are LLM inference engines anyway?
    Description:
    Open weights models and open source inference servers have made massive strides in the year since we last got together at AIE World's Fair.
    
    Where once we had only pirated LLaMA 2 weights and Transformers, we now have an embarrassment of riches. In fact, we have too many choices! What's an AI engineer looking to self-host inference to do?
    
    In this session, we'll share our benchmarking results from hundreds of runs across models, frameworks, and hardware. We'll also share tips and tricks from working with teams deploying LLM inference at scale.

  ------------------------------------

    Session ID: 939091
    Track: AI in Action
    Speaker: Junyang Lin (Alibaba Qwen)
    Format: Online Talk
    Session Title: Qwen: Towards a Generalist Model / Agent
    Description:
    Since Alibaba launched the Qwen series of large models in 2023, the Qwen series of large language models and multimodal large models have been continuously updated and improved. This presentation will introduce the latest developments in the Qwen series of models, including the large language model Qwen3, vision-language large model Qwen2.5-VL, omni model Qwen2.5-Omni, etc. Additionally, this presentation will also cover the future development directions of the Qwen series.

  ------------------------------------

    Session ID: 939091
    Track: AI in Action
    Speaker: Junyang Lin (Alibaba Qwen)
    Format: Online Talk
    Session Title: Qwen: Towards a Generalist Model / Agent
    Description:
    Since Alibaba launched the Qwen series of large models in 2023, the Qwen series of large language models and multimodal large models have been continuously updated and improved. This presentation will introduce the latest developments in the Qwen series of models, including the large language model Qwen3, vision-language large model Qwen2.5-VL, omni model Qwen2.5-Omni, etc. Additionally, this presentation will also cover the future development directions of the Qwen series.

  ------------------------------------

    Session ID: 933684
    Track: AI in Action
    Speaker: Eashan Sinha (Deployed Engineer, Windsurf)
    Format: Talk
    Room: Nobhill A&B: Expo Sessions
    Time: 4 Jun 2025 10:55 AM
    Session Title: Mastering Engineering Flow with Windsurf
    Description:
    As experienced engineers, especially senior and staff engineers, our focus shifts towards complex problem-solving, architectural decisions, and mentoring. While AI tools promise productivity gains, Windsurf offers more than just code completion and chat assistance – it's an agentic IDE built to enhance engineering flow. This talk explores how experienced engineers can leverage Windsurf's deep contextual awareness, structured guidance, and automated workflows to tackle sophisticated and complex tasks. We'll demonstrate practical strategies for accelerating feature development, automating code maintenance and reviews, and ultimately freeing up cognitive load to focus on high-impact engineering challenges. Learn how to move beyond basic AI assistance and truly partner with Windsurf to excel in your role.

  ------------------------------------

    Session ID: 936933
    Track: AI in Action
    Speaker: Nina Lopatina (Lead Developer Advocate)
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: Forget RAG Pipelines—Build Production-Ready AI Agents in 15 Minutes
    Description:
    Want to take advantage of your data, but don't want to reinvent RAG infrastructure? Join our workshop and see how you can deploy Agentic RAG in minutes using Contextual AI's managed RAG solution. We'll explore how Contextual handles intelligent parsing and chunking of your data, retrieves information with state of the art accuracy, and generates responses with a multi layered set of guardrails against hallucinations. Together, we'll build an end-to-end Agentic RAG pipeline and demonstrate its integration with Claude Desktop via MCP, so you can see how this could plug into your existing ecosystem.
    
    By the end of this session, you'll have a functioning Agentic RAG prototype that you can easily customize and deploy to production for your specific use cases, even with complex, unstructured documents.

  ------------------------------------

    Session ID: 936933
    Track: AI in Action
    Speaker: Rajiv Shah (Chief Evangelist)
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: Forget RAG Pipelines—Build Production-Ready AI Agents in 15 Minutes
    Description:
    Want to take advantage of your data, but don't want to reinvent RAG infrastructure? Join our workshop and see how you can deploy Agentic RAG in minutes using Contextual AI's managed RAG solution. We'll explore how Contextual handles intelligent parsing and chunking of your data, retrieves information with state of the art accuracy, and generates responses with a multi layered set of guardrails against hallucinations. Together, we'll build an end-to-end Agentic RAG pipeline and demonstrate its integration with Claude Desktop via MCP, so you can see how this could plug into your existing ecosystem.
    
    By the end of this session, you'll have a functioning Agentic RAG prototype that you can easily customize and deploy to production for your specific use cases, even with complex, unstructured documents.

  ------------------------------------

    Session ID: 933688
    Track: AI in Action
    Speaker: Nick Nisi (Software developer and panelist on the JS Party podcast)
    Format: Workshop
    Room: Salons 2-6: Workshops
    Time: 3 Jun 2025 03:30 PM
    Session Title: AI Pipelines and Agents in Pure TypeScript with Mastra.ai
    Description:
    This hands-on workshop introduces Mastra.ai, a TypeScript framework that streamlines the development of agentic AI systems compared to traditional approaches using LangChain and vector databases. Participants will learn to build structured AI workflows with composable tools and reliable control, enabling them to create internal AI assistants that can handle requests like data cleaning, email drafting, and document summarization with minimal code. The session covers Mastra installation, running a local MCP server, defining tools and agents in TypeScript, using the Mastra playground, and implementing practical examples such as RAG setups and tool-chaining agents—all designed to equip attendees with the skills to develop scalable AI-driven internal tools based on sound software engineering principles rather than just experimental prompts.

  ------------------------------------

    Session ID: 933656
    Track: AI in Action
    Speaker: Nick Nisi (Software developer and panelist on the JS Party podcast)
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 12:45 PM
    Session Title: Agents, Access, and the Future of Machine Identity
    Description:
    AI agents are calling APIs, submitting forms, and sending emails—but how do you control what they’re allowed to do? As agents act on behalf of users or organizations, traditional patterns like OAuth, session tokens, and role-based access often fall short.
    In this talk, we’ll explore how machine identity is evolving to meet this new landscape. You’ll learn:
    
    - How to think about authentication for agents (not just humans)
    - What it means to authorize an action when the actor is an LLM or headless service
    - Real-world strategies from WorkOS and Cloudflare for assigning, managing, and revoking agent identity and access
    
    By the end, you’ll walk away with practical tools and mental models to build agent-powered systems that are secure, auditable, and scalable.

  ------------------------------------

    Session ID: 933685
    Track: AI in Action
    Speaker: Tejashwa Tiwari (Automation Engineer @ Windsurf)
    Room: Salons 9-15: Expo Hall
    Time: 4 Jun 2025 01:45 PM
    Session Title: Windsurf & Wonders
    Description:
    Come learn about why Windsurf is the premiere choice for engineers and enterprises alike in applications of AI for development.

  ------------------------------------

    Session ID: 907544
    Track: AI in Action
    Speaker: Dan Mason (Principal, Head of AI)
    Format: Workshop
    Room: Foothill C: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: Case Study + Deep Dive: Telemedicine Support Agents with LangGraph/MCP
    Description:
    We've all seen website chat bots which can look up an order or answer a basic question -- but what does it take to build autonomous agents which manage long, delicate processes like multi-day medical treatments?
    
    In this workshop, we'll explore a workflow Stride built in partnership with Avila (https://avilascience.com/) that helps patients self-administer medication regimens at home.  The stack includes LangGraph/LangSmith, Claude, MCP, Node.js, React, MongoDB, and Twilio, and rests on a foundation of treatment "blueprints" which LLM-powered agents use to guide patients to good outcomes.
    
    You'll learn how to:
    -Build a hybrid system of code and prompts that leverages LLM decisioning to drive a web application, message queue and database
    -Design and maintain flexible agentic workflow blueprints, with no special tools (just Google Docs!)
    -Create an agent evaluation system, which uses LLM-as-a-judge to evaluate the complexity of each interaction and escalate to human support when needed
    
    We'll also talk about the prompt engineered guidelines and guardrails which helps agents adhere to protocol as much as possible, while gracefully handling curveballs from the patient.  Please bring questions -- we look forward to sharing our learnings on how to make agentic systems like this work in the real world!

  ------------------------------------

    Session ID: 929790
    Track: AI in Action
    Speaker: Danielle Perszyk (Cognitive Scientist, PhD)
    Format: Keynote
    Room: Golden Gate Ballroom A: Workshops
    Time: 3 Jun 2025 12:40 PM
    Session Title: Useful General Intelligence
    Description:
    We’re all hearing that AI agents will enable AGI, but they can’t yet reliably perform even basic computer tasks. It turns out that getting AI to click, type, and scroll is more challenging than getting it to generate code. How can we build general-purpose agents that can do anything we can do on a computer?
    
    This is our goal at the Amazon AGI SF Lab. In this talk, I’ll propose a new approach to agents that we call Useful General Intelligence. After describing how we’re solving the biggest challenges in computer use while enabling developers to access our tech in it’s earliest developmental stages, I’ll show real workflows that developers have built with Nova Act, our agentic model and SDK.

  ------------------------------------

    Session ID: 933636
    Track: AI in Action
    Speaker: Ado Kukic (Director, Developer Relations)
    Room: Salons 9-15: Expo Hall
    Time: 4 Jun 2025 01:00 PM
    Session Title: Everything is changing
    Description:
    We believe programming with AI is going through massive changes — again.
    
    Turns out the models yearn for the tools and tokens. We hold them back if we make them ask before they can change a file.
    
    Give them tools & tokens and everything changes: what we use them for, how we use them, how many we run at the same time, how they talk to each other, how they talk to you, what they even are...
    
    It's all going to change.
    
    And with Amp, we're embracing it.
    
    If you want to find out where this is all going — come with us.

  ------------------------------------

    Session ID: 933707
    Track: AI in Action
    Speaker: Apoorva Joshi (Senior AI Developer Advocate, MongoDB)
    Format: Workshop
    Room: SOMA: Workshops
    Time: 3 Jun 2025 10:40 AM
    Session Title: Building Multimodal AI Agents (From Scratch)
    Description:
    In this hands-on workshop, you will build a multimodal AI agent capable of processing mixed-media content—from analyzing charts and diagrams to extracting insights from documents with embedded visuals. Using MongoDB as a vector database and memory store, and Google's Gemini for multimodal reasoning, you will gain hands-on experience with multimodal data processing pipelines and agent orchestration patterns by implementing core components directly, using good ol' Python.
    

  ------------------------------------

    Session ID: 936006
    Track: AI in Action
    Speaker: swyx (Curator)
    Format: Keynote
    Session Title: Building AI-Intensive Applications
    Description:
    swyx updates the Martin Kleppmann classic. Whether you call it a workflow or an agent, AI engineered applications are seeing user-input:LLM-call ratios go from 1:1 (ChatGPT) to 1:100 (Deep Research, Codex) and even 0:n (Ambient/Proactive agents). How does AI Engineering change as you build increasingly AI intensive applications? Let's call a spade a SPADE.



======================================================================
---  Track: AI IN FORTUNE 500 (June 4-5) ---
======================================================================

    Session ID: 936800
    Track: AI in Fortune 500
    Speaker: Asha  Sharma (CVP, Head of Product, Microsoft AI Platform)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 4 Jun 2025 09:20 AM
    Session Title: Spark to System: Building the Open Agentic Web
    Description:
    AI builders no longer ask whether to use agents—but how many and how fast. In this kickoff keynote, Microsoft’s Asha Sharma shows what happens when natural language creation meets an industrial grade backbone.  Watch live demos—to see agents move from idea to production in real time. Walk out with the commands, repos, and open protocols to build your piece of the agentic web.

  ------------------------------------

    Session ID: 903524
    Track: AI in Fortune 500
    Speaker: Joel Hron (CTO)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 4 Jun 2025 11:15 AM
    Session Title: From Copilot to Colleague: Building Trustworthy Productivity Agents for High-Stakes Work
    Description:
    This keynote will explore what it takes to move from basic generative assistants to fully agentic AI—systems that don’t just suggest but plan, act, and adapt—all within the structured, high-trust environments where professionals actually work.

  ------------------------------------

    Session ID: 937225
    Track: AI in Fortune 500
    Speaker: Harrison Chase (CEO)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 4 Jun 2025 12:15 PM
    Session Title: 3 ingredients for building reliable enterprise agents
    Description:
    It's easy to build a prototype of an agent, but hard to put an agent in production - especially in an enterprise setting. In this section, will talk about three ingredients for building reliable agents in the enterprise.

  ------------------------------------

    Session ID: 932429
    Track: AI in Fortune 500
    Speaker: Ben Kus (CTO)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 4 Jun 2025 02:00 PM
    Session Title: Building an Agentic Platform
    Description:
    Explore the technical evolution of metadata extraction at Box and how it shaped the foundation of our AI platform. We’ll walk through our transition to an agentic-first design—why it was necessary, how we approached the rebuild, challenges we encountered along the way, and the advantages it unlocked.

  ------------------------------------

    Session ID: 916025
    Track: AI in Fortune 500
    Speaker: Hariharan Ganesan (Sr. Solutions Architect)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 5 Jun 2025 11:35 AM
    Session Title: CIOs and Industry Leaders: Do You Trust Your AI’s Inferences?
    Description:
    Enterprise AI adoption is accelerating, but with it comes a hard question: Do we trust the model’s decisions? In this 18-minute talk, I’ll explore the invisible risks behind automated decision-making in safety-critical and revenue-sensitive environments. Drawing on case studies across manufacturing, telecom, and industrial IoT, I’ll highlight how explainability, traceability, and robust guardrails drive adoption and protect enterprise value.
    Attendees will walk away with:
    •	A 3-step framework for operationalizing AI trust
    •	Real-world lessons from building guardrails in on-prem and hybrid systems
    •	Tools and techniques for debugging and explaining inferences at scale
    •	A blueprint for building trust between models, engineers, and executive stakeholders

  ------------------------------------

    Session ID: 916085
    Track: AI in Fortune 500
    Speaker: Jaspreet Singh (Senior Staff Software Engineer)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 5 Jun 2025 11:55 AM
    Session Title: How Intuit uses LLMs to explain taxes to millions of taxpayers
    Description:
    I will talk about how Intuit uses LLMs to explain tax situations to Turbotax users.
    Users want explanations of their tax situations - this drives confidence in the product. Over the course of last two tax years, Intuit has built out explanations using Anthropic and openAI’s models to develop genAI powered explanations. This includes design a complex system with prompt engineered solutions and both LLM & human powered evaluations to ensure high quality bar that our users expect when filing taxes with us.
    During the course of my talk, I will talk across GenAI development lifecycle at scale - including development , evaluations and scaling. And security evaluations. We also developed a fine-tuned version of Claude Haiku & shall be covering that in the presentation.
    We also expanded into tax question and answering powered by RAG, including graphRAG and I would be covering those developments too.

  ------------------------------------

    Session ID: 914890
    Track: AI in Fortune 500
    Speaker: Kevin Madura (Director, Advanced Technologies)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 4 Jun 2025 02:20 PM
    Session Title: The Billable Hour is Dead; Long Live the Billable Hour?
    Description:
    If software was eating the world before, knowledge work will soon be devoured by AI. In corporate America there are thousands of hours spent on rote tasks every day by employees, consultants, and lawyers alike. But is AI really capable of replacing work in the real world yet?
    Productivity estimates from GenAI range from 1.5% (NBER) to 96% (☝ us! ️). In this talk we'll share war stories of where the answer is yes (and no) and how we reduced human time spent on tasks from days to minutes in high-impact situations.
    The path from promise to actual product, used in real world settings, from our experience, is still unmapped. Learn what we built, how we built it - with code - and how we got stakeholder buy-in to deploy it.

  ------------------------------------

    Session ID: 916025
    Track: AI in Fortune 500
    Speaker: Sahil Yadav (Head of AI Products (Sr. Director, Product Management))
    Format: Talk
    Room: SOMA: AI Architects
    Time: 5 Jun 2025 11:35 AM
    Session Title: CIOs and Industry Leaders: Do You Trust Your AI’s Inferences?
    Description:
    Enterprise AI adoption is accelerating, but with it comes a hard question: Do we trust the model’s decisions? In this 18-minute talk, I’ll explore the invisible risks behind automated decision-making in safety-critical and revenue-sensitive environments. Drawing on case studies across manufacturing, telecom, and industrial IoT, I’ll highlight how explainability, traceability, and robust guardrails drive adoption and protect enterprise value.
    Attendees will walk away with:
    •	A 3-step framework for operationalizing AI trust
    •	Real-world lessons from building guardrails in on-prem and hybrid systems
    •	Tools and techniques for debugging and explaining inferences at scale
    •	A blueprint for building trust between models, engineers, and executive stakeholders

  ------------------------------------

    Session ID: 925912
    Track: AI in Fortune 500
    Speaker: Randall Hunt (CTO at Caylent)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 5 Jun 2025 02:20 PM
    Session Title: POC to PROD: Hard Lessons from 200+ Enterprise GenAI Deployments
    Description:
    The transition from experimental GenAI demonstrations to robust, production-grade systems involves significant technical and organizational complexities. Humans provide a ceiling on the true ROI of automations. This session synthesizes key patterns and practical strategies gathered from more than 200 GenAI implementations across multiple industries and business sizes.
    
    Beyond the general lessons that apply to most products leveraging GenAI, we'll cover detailed observations within three application areas: multimodal understanding and search, enterprise knowledge retrieval, and AI agent architectures. We will share real-world comparative performance data and metrics on embedding models, vector index implementations, and explore various implementation methodologies that balance performance and cost.
    
    Additionally, the session addresses organizational insights critical to successful AI deployments, such as the importance of clearly defined evaluation processes and understanding real-world user interaction challenges, highlighted by examples from healthcare environments. Attendees will gain an understanding of decision-making criteria, including the appropriate complexity of prompt engineering versus more elaborate orchestration methods, token/cost management strategies in multilingual settings, and the challenges in driving behavioral change with new UX and application interaction capabilities.
    
    Participants will leave equipped with practical, data-supported insights for effectively navigating their own GenAI projects, including benchmarks and criteria for informed technology selection, and techniques to streamline the transition from initial concept to sustainable operational deployment. Please note, we all know this field evolves rapidly and we will mark which lessons we believe are immutable.

  ------------------------------------

    Session ID: 914891
    Track: AI in Fortune 500
    Speaker: Adam Behrens (CEO)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 5 Jun 2025 11:35 AM
    Session Title: Machines of Buying & Selling Grace
    Description:
    How to go beyond browser automation to truly agentic commerce, where AI can buy, sell and negotiate on behalf of users and merchants.

  ------------------------------------

    Session ID: 933575
    Track: AI in Fortune 500
    Speaker: Beyang Liu (Co-founder and CTO, Sourcegraph)
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 03:30 PM
    Session Title: The emerging skillset of wielding coding agents
    Description:
    It's raining coding agents. But while many are saying they're feeling the AGI, others say they're not that useful for serious programming. How much is hype and how much is a skill issue? We'll share empirical observations that help explain the divergence of developer opinion. And we'll cover emergent strategies uncovered by users of Amp, a new coding agent in research preview, that can help you employ agents to complete more complex tasks in production codebases.

  ------------------------------------

    Session ID: 933605
    Track: AI in Fortune 500
    Speaker: Mani Khanuja (Principal ML Services SA)
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 03:30 PM
    Session Title: Data is Your Differentiator: Building Secure and Tailored AI Systems
    Description:
    As  organizations seek to harness their proprietary data while maintaining  security and compliance, Amazon Bedrock provides a comprehensive framework  for building tailored AI applications. Using Amazon Bedrock Knowledge Bases  and Amazon Bedrock Data Automation, organizations can create AI solutions  that truly understand their unique business context, terminology, and  requirements. Combined with Amazon Bedrock Guardrails, these capabilities  enhance the accuracy and relevance of AI-generated responses, while ensuring  that sensitive information remains protected within the organization's  control - enabling businesses to build secure and compliant enterprise-grade  generative AI solutions that accelerate time to value.

  ------------------------------------

    Session ID: 914890
    Track: AI in Fortune 500
    Speaker: Mo Bhasin (Director of AI Products)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 4 Jun 2025 02:20 PM
    Session Title: The Billable Hour is Dead; Long Live the Billable Hour?
    Description:
    If software was eating the world before, knowledge work will soon be devoured by AI. In corporate America there are thousands of hours spent on rote tasks every day by employees, consultants, and lawyers alike. But is AI really capable of replacing work in the real world yet?
    Productivity estimates from GenAI range from 1.5% (NBER) to 96% (☝ us! ️). In this talk we'll share war stories of where the answer is yes (and no) and how we reduced human time spent on tasks from days to minutes in high-impact situations.
    The path from promise to actual product, used in real world settings, from our experience, is still unmapped. Learn what we built, how we built it - with code - and how we got stakeholder buy-in to deploy it.

  ------------------------------------

    Session ID: 935969
    Track: AI in Fortune 500
    Speaker: Rita  Kozlov (vp developers & ai, cloudflare)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 5 Jun 2025 02:40 PM
    Session Title: Building Agents (the hard parts!)
    Description:
    AI workloads are rapidly shifting from AI being used for augmentation (co-pilots), to AI becoming responsible for full, end-to-end automation (agents). But building effective agents, and even more importantly, agent experiences that boost productivity requires many pieces. In this talk, we'll be covering the building blocks of agents, how to put them together, and what we've learned from top companies building agents along the way.

  ------------------------------------

    Session ID: 933633
    Track: AI in Fortune 500
    Speaker: Sam  Fertig (Deployed Engineer, Windsurf)
    Format: Talk
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 03:30 PM
    Session Title: The Eyes Are The (Context) Window to The Soul: How Windsurf Gets to Know You
    Description:
    Sometimes it seems like Windsurf knows you a little too well. It's one thing to generate generic code, but to predict your next intent? From matching existing code patterns and styles to tracking how local changes affect the larger codebase, this talk digs into the technical challenges of context awareness and why simply indexing code falls short. Relive our journey tackling the core issue in the AI IDE space : balancing retrieval quality with latency constraints and scaling effectively as codebases grow. For those curious about the infrastructure behind context-aware AI, this talk offers insights into our approach of turning massive codebases into collections of useful context.

  ------------------------------------

    Session ID: 915616
    Track: AI in Fortune 500
    Speaker: Donald Hruska (Engineering lead for Retool Agents)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 4 Jun 2025 11:55 AM
    Session Title: How agents will unlock the $500B promise of AI
    Description:
    AI agents are on the cusp of revolutionizing work as we know it. The number of use cases software can tackle is set to explode as AI handles tasks requiring real judgment. But to cross the gap between an interesting AI prototype and an essential business tool, you need agents built by developers with real guardrails and security.
    
    This means blending AI assistance with traditional coding in a multimodal approach that maximizes efficiency and control. The future isn't about dropping in an LLM — it requires integrating any model, any data, any system to deliver results.
    
    Companies utilizing this approach can finally turn their slice of the $500B+ of total AI investment into real business results.
    

  ------------------------------------

    Session ID: 914049
    Track: AI in Fortune 500
    Speaker: Yogi Miraje (Lead AI Engineer)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 5 Jun 2025 02:00 PM
    Session Title: How to Build Agents without losing control
    Description:
    Planning agents help solve complex tasks by breaking them into steps. They work across enterprise systems where data lives in many places. These agents are powerful but can be hard to control. This session shows how to use blueprints as guardrails for these agents. I will explain techniques to ensure agents follow the right plan. I will cover evaluation methods to verify agents stay aligned with user goals.

  ------------------------------------

    Session ID: 933685
    Track: AI in Fortune 500
    Speaker: Tejashwa Tiwari (Analytics and Automation Engineer)
    Room: Salons 9-15: Expo Hall
    Time: 4 Jun 2025 01:45 PM
    Session Title: Windsurf & Wonders
    Description:
    Come learn about why Windsurf is the premiere choice for engineers and enterprises alike in applications of AI for development.

  ------------------------------------

    Session ID: 915738
    Track: AI in Fortune 500
    Speaker: Christopher Lovejoy (Head of Clinical AI )
    Format: Talk
    Room: Foothill G 1&2: Product Management
    Time: 4 Jun 2025 02:20 PM
    Session Title: Make your LLM app a Domain Expert: How to Build an LLM-Native Expert System
    Description:
    Vertical AI is a multi-trillion-dollar opportunity. But you can't build a domain-expert application simply by grabbing the latest LLMs off-the-shelf: you need a system for codifying latent insights from domain experts and using that to drive development of your application.
    
    In this talk, we'll describe the system we've built at Anterior which has enabled us to achieve SOTA clinical reasoning and serve health insurance providers covering 50 million American lives. We'll share:
    - how and why to encode domain-specific failure modes as an ontology
    - a practical system for converting domain expertise into quantifiable eval metrics
    - how we structure work and collaboration between our clinicians, engineer and PMs
    - our eval-driven AI iteration process and how this can be adapted to any industry

  ------------------------------------

    Session ID: 904722
    Track: AI in Fortune 500
    Speaker: Infant Vasanth (Senior Director of Engineering)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 4 Jun 2025 11:35 AM
    Session Title: Accelerating Investment Operations: How BlackRock Builds Custom Knowledge Apps at Scale.
    Description:
    Investment Operations teams are the backbone of asset and investment management firms. Their day-to-day work not only enables portfolio managers to respond swiftly to market events but also ensures that complex, unstructured data flows seamlessly across the organization.
    In this talk, we introduce a modular, Kubernetes-native AI framework purpose-built to scale custom Knowledge Apps across the enterprise. Designed with speed, flexibility, and compliance in mind, the framework empowers teams to launch production-grade document extraction applications in minutes instead of months, unlocking new levels of automation and efficiency for investment management workflows.
    We’ll also share how this framework has helped BlackRock streamline document extraction processes, generate investment signals, reduce operational overhead, and accelerate the delivery of high-impact business use cases—all while maintaining the robustness and control required in a regulated industry.

  ------------------------------------

    Session ID: 933684
    Track: AI in Fortune 500
    Speaker: Eashan Sinha (Deployed Engineer, Windsurf)
    Format: Talk
    Room: Nobhill A&B: Expo Sessions
    Time: 4 Jun 2025 10:55 AM
    Session Title: Mastering Engineering Flow with Windsurf
    Description:
    As experienced engineers, especially senior and staff engineers, our focus shifts towards complex problem-solving, architectural decisions, and mentoring. While AI tools promise productivity gains, Windsurf offers more than just code completion and chat assistance – it's an agentic IDE built to enhance engineering flow. This talk explores how experienced engineers can leverage Windsurf's deep contextual awareness, structured guidance, and automated workflows to tackle sophisticated and complex tasks. We'll demonstrate practical strategies for accelerating feature development, automating code maintenance and reviews, and ultimately freeing up cognitive load to focus on high-impact engineering challenges. Learn how to move beyond basic AI assistance and truly partner with Windsurf to excel in your role.

  ------------------------------------

    Session ID: 936933
    Track: AI in Fortune 500
    Speaker: Nina Lopatina (Lead Developer Advocate)
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: Forget RAG Pipelines—Build Production-Ready AI Agents in 15 Minutes
    Description:
    Want to take advantage of your data, but don't want to reinvent RAG infrastructure? Join our workshop and see how you can deploy Agentic RAG in minutes using Contextual AI's managed RAG solution. We'll explore how Contextual handles intelligent parsing and chunking of your data, retrieves information with state of the art accuracy, and generates responses with a multi layered set of guardrails against hallucinations. Together, we'll build an end-to-end Agentic RAG pipeline and demonstrate its integration with Claude Desktop via MCP, so you can see how this could plug into your existing ecosystem.
    
    By the end of this session, you'll have a functioning Agentic RAG prototype that you can easily customize and deploy to production for your specific use cases, even with complex, unstructured documents.

  ------------------------------------

    Session ID: 936933
    Track: AI in Fortune 500
    Speaker: Rajiv Shah (Chief Evangelist)
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: Forget RAG Pipelines—Build Production-Ready AI Agents in 15 Minutes
    Description:
    Want to take advantage of your data, but don't want to reinvent RAG infrastructure? Join our workshop and see how you can deploy Agentic RAG in minutes using Contextual AI's managed RAG solution. We'll explore how Contextual handles intelligent parsing and chunking of your data, retrieves information with state of the art accuracy, and generates responses with a multi layered set of guardrails against hallucinations. Together, we'll build an end-to-end Agentic RAG pipeline and demonstrate its integration with Claude Desktop via MCP, so you can see how this could plug into your existing ecosystem.
    
    By the end of this session, you'll have a functioning Agentic RAG prototype that you can easily customize and deploy to production for your specific use cases, even with complex, unstructured documents.

  ------------------------------------

    Session ID: 933685
    Track: AI in Fortune 500
    Speaker: Tejashwa Tiwari (Automation Engineer @ Windsurf)
    Room: Salons 9-15: Expo Hall
    Time: 4 Jun 2025 01:45 PM
    Session Title: Windsurf & Wonders
    Description:
    Come learn about why Windsurf is the premiere choice for engineers and enterprises alike in applications of AI for development.

  ------------------------------------

    Session ID: 915990
    Track: AI in Fortune 500
    Speaker: Amir Haghighat (CTO)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 4 Jun 2025 11:55 AM
    Session Title: The Rise of Open Models in the Enterprise
    Description:
    This year kicked off with the DeepSeek-R1 news cycle breaking out of our AI Engineering bubble into the mainstream tech and business world. Leaders at the highest levels of the largest enterprises started asking how open source models could enhance and accelerate their AI strategy.
    
    Open source models promise increased ownership of AI systems: control over performance and price, improved uptime and reliability, better compliance, and flexible hosting options. How are these promises playing out after months of implementation? In this talk, I’ll draw on hundreds of conversations with AI leaders at enterprise companies to discuss what has — and hasn’t — changed about enterprise AI strategy in a world where open-source models compete on the frontier of intelligence.

  ------------------------------------

    Session ID: 915431
    Track: AI in Fortune 500
    Speaker: Thor 雷神 Schaeff (DX at ElevenLabs)
    Format: Workshop
    Room: Golden Gate Ballroom A: Workshops
    Time: 3 Jun 2025 11:00 AM
    Session Title: Build multilingual Conversational AI Agents
    Description:
    In this workshop you will learn how to build multilingual Conversational AI agents that can automatically detect your user's spoken language and can seamlessly switch to their preferred language.

  ------------------------------------

    Session ID: 904722
    Track: AI in Fortune 500
    Speaker: Vaibhav Page (Principal Engineer )
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 4 Jun 2025 11:35 AM
    Session Title: Accelerating Investment Operations: How BlackRock Builds Custom Knowledge Apps at Scale.
    Description:
    Investment Operations teams are the backbone of asset and investment management firms. Their day-to-day work not only enables portfolio managers to respond swiftly to market events but also ensures that complex, unstructured data flows seamlessly across the organization.
    In this talk, we introduce a modular, Kubernetes-native AI framework purpose-built to scale custom Knowledge Apps across the enterprise. Designed with speed, flexibility, and compliance in mind, the framework empowers teams to launch production-grade document extraction applications in minutes instead of months, unlocking new levels of automation and efficiency for investment management workflows.
    We’ll also share how this framework has helped BlackRock streamline document extraction processes, generate investment signals, reduce operational overhead, and accelerate the delivery of high-impact business use cases—all while maintaining the robustness and control required in a regulated industry.



======================================================================
---  Track: AGENT RELIABILITY (June 4) ---
======================================================================

    Session ID: 939640
    Track: Agent Reliability
    Speaker: Christian Szegedy (Former co-founder of xAI, discoverer of adversarial examples)
    Format: Talk
    Room: Yerba Buena Ballroom 2-6: Reasoning + RL
    Time: 5 Jun 2025 02:40 PM
    Session Title: Towards Verified Superintelligence
    Description:
    I describe a new paradigm towards open-endedly self-improving intelligence by scaling verification to remove the human data and supervision bottleneck. The objective is to achieve trustless alignment of superintelligence.

  ------------------------------------

    Session ID: 913755
    Track: Agent Reliability
    Speaker: Preeti Somal (SVP Engineering)
    Format: Talk
    Room: Foothill C: Agent Reliability
    Time: 4 Jun 2025 11:55 AM
    Session Title: Scaling AI agents without breaking reliability
    Description:
    As AI agents move from prototypes to production, developers are running into new challenges with orchestration, failure handling, and infrastructure. This session will unpack lessons from teams already building real-world systems and share how to design for reliability from the start.

  ------------------------------------

    Session ID: 933599
    Track: Agent Reliability
    Speaker: Arjun Desai (Co-Founder, Cartesia)
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 01:15 PM
    Session Title: Serving Voice  AI at Scale
    Description:
    Real-Time  Voice AI applications demand the lowest possible latencies to enhance user  experiences with more advanced reasoning and agentic capabilities. AWS is  hosting Arjun Desai, co-founder of Cartesia, in a fireside chat for a  technical deep dive into learnings and best practices for building a  state-of-the-art inference stack that serves global enterprise customers.

  ------------------------------------

    Session ID: 933612
    Track: Agent Reliability
    Speaker: Antje Barth (Principal Developer Advocate)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 4 Jun 2025 04:05 PM
    Session Title: Building  Agents at Cloud-Scale
    Description:
    Let's explore  practical strategies for building and scaling agents in production. Discover  how to move from local MCP implementations to cloud-scale architectures and  how engineering teams leverage these patterns to develop sophisticated agent  systems. Expect a mix of demos, use case discussions, and a glimpse into the  future of agentic services!

  ------------------------------------

    Session ID: 914015
    Track: Agent Reliability
    Speaker: Sam Bhagwat (Co-founder)
    Format: Talk
    Room: Foothill C: Agent Reliability
    Time: 4 Jun 2025 02:20 PM
    Session Title: Agents vs Workflows: Why Not Both?
    Description:
    One current hot debate is should you make your top-level abstraction a ReAct type agent running in a loop? or should you make it a structured workflow graph?
    
    OpenAI is launching their new framework and throwing shade on workflow graph approaches
    
    TBH we think this whole debate is kinda dumb.
    
    We've seen a lot of folks be able to structure the problem in a way that a workflow graph makes a lot of sense.
    
    We also see a ton of agents where you need to run the core bit in a loop for a long time.
    
    You can also give your agents structured workflow graphs as a tool. You can use structured workflow graphs as a handoff mechanism between agents. What we've seen from the community is frankly that folks need to tinker with multiple approaches and combine primitives in interesting ways
    
    We'll share a couple stories where teams ended up with workflow graph based approaches, a couple where teams ended up with agent based approaches, and a couple where a blended approach made sense.

  ------------------------------------

    Session ID: 933575
    Track: Agent Reliability
    Speaker: Beyang Liu (Co-founder and CTO, Sourcegraph)
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 03:30 PM
    Session Title: The emerging skillset of wielding coding agents
    Description:
    It's raining coding agents. But while many are saying they're feeling the AGI, others say they're not that useful for serious programming. How much is hype and how much is a skill issue? We'll share empirical observations that help explain the divergence of developer opinion. And we'll cover emergent strategies uncovered by users of Amp, a new coding agent in research preview, that can help you employ agents to complete more complex tasks in production codebases.

  ------------------------------------

    Session ID: 933605
    Track: Agent Reliability
    Speaker: Mani Khanuja (Principal ML Services SA)
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 03:30 PM
    Session Title: Data is Your Differentiator: Building Secure and Tailored AI Systems
    Description:
    As  organizations seek to harness their proprietary data while maintaining  security and compliance, Amazon Bedrock provides a comprehensive framework  for building tailored AI applications. Using Amazon Bedrock Knowledge Bases  and Amazon Bedrock Data Automation, organizations can create AI solutions  that truly understand their unique business context, terminology, and  requirements. Combined with Amazon Bedrock Guardrails, these capabilities  enhance the accuracy and relevance of AI-generated responses, while ensuring  that sensitive information remains protected within the organization's  control - enabling businesses to build secure and compliant enterprise-grade  generative AI solutions that accelerate time to value.

  ------------------------------------

    Session ID: 933621
    Track: Agent Reliability
    Speaker: Laurie Voss (VP Developer Relations, LlamaIndex)
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 01:00 PM
    Session Title: Effective agent design patterns in production
    Description:
    At LlamaIndex we see a lot of agents built every day, and we've got a sense of what works and what doesn't. We've distilled those learnings down into a series of patterns and best practices for building real-world, production agents, and we're here to share them. You'll learn patterns for applying structure and guidance to famously nondeterministic LLMs and get concrete instruction on how to implement them.

  ------------------------------------

    Session ID: 933599
    Track: Agent Reliability
    Speaker: Rohit Talluri (Senior Worldwide Generative AI Specialist BD - Foundation Model Training & Inference)
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 01:15 PM
    Session Title: Serving Voice  AI at Scale
    Description:
    Real-Time  Voice AI applications demand the lowest possible latencies to enhance user  experiences with more advanced reasoning and agentic capabilities. AWS is  hosting Arjun Desai, co-founder of Cartesia, in a fireside chat for a  technical deep dive into learnings and best practices for building a  state-of-the-art inference stack that serves global enterprise customers.

  ------------------------------------

    Session ID: 933474
    Track: Agent Reliability
    Speaker: Kenneth DuMez (DevRel Lead, Graphite)
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 03:15 PM
    Session Title: Cattle, not genies: building AI agents from first principles
    Description:
    As magical as they may seem, AI agents should be treated like any other software system. This talk will cover the best practices in designing and building AI systems including observability, security hardening, and proper UX.

  ------------------------------------

    Session ID: 916117
    Track: Agent Reliability
    Speaker: Tanmai Gopal (CEO, Co-founder)
    Format: Talk
    Room: Foothill C: Agent Reliability
    Time: 4 Jun 2025 11:15 AM
    Session Title: AI Automation that actually works: $100M, messy data, zero surprises
    Description:
    We will review the different kinds of automation use-cases, and the approach we used, that will drive over a $100M of expected annual impact by deploying AI for business critical initiatives.
    
    We will discuss what kinds of automation initiatives become possible because of Gen AI. These were not tenable before because of the amount of customization required per customer or per scenario, and the kind of data involved in these workflows. Previously, these workflows were driven manually which were both error prone and required expensive training.
    
    To replace or augment these manual business critical processes, automation _has_ to cross a very high bar of reliability.
    
    We will share how we addressed the inherent non-determinism of Gen AI to create a predictable system that doesn’t have any surprising failure modes. We’ll also discuss how we worked with our existing data that was spread across various systems without an expensive centralisation and clean up effort.

  ------------------------------------

    Session ID: 933610
    Track: Agent Reliability
    Speaker: Mike Chambers (AI/ML Specialist DA AWS)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 5 Jun 2025 12:15 PM
    Session Title: Ship it! Building Production-Ready Agents
    Description:
    Explore the practical challenges and solutions for deploying AI agents in real-world production environments. Through detailed technical analysis and practical examples, we'll examine strategies for building and orchestrating agent systems at scale. We'll cover critical infrastructure decisions, scalability frameworks, and best practices for creating robust, production-ready agent architectures.

  ------------------------------------

    Session ID: 933629
    Track: Agent Reliability
    Speaker: Sam Alba (Co-Founder of Dagger)
    Room: Willow: Expo Sessions
    Time: 4 Jun 2025 12:45 PM
    Session Title: How to trust an agent with software delivery
    Description:
    AI-powered agents promise faster, easier software delivery, but their unpredictable behavior often makes engineers hesitant to fully trust them with critical workflows. Sam Alba, Co-founder of Dagger (and previously co-creator of Docker), explains how teams can reliably integrate agents into their delivery pipelines by shifting how they structure and manage automation.
    
    He'll share four practical strategies learned from real-world experience:
    
    1. Treat agents as workflow participants, not isolated tools.
    Stop using agents as disconnected scripts or IDE plugins. Treating them as first-class parts of your delivery process simplifies your architecture, reduces hidden complexity, and makes agent outcomes more predictable.
    
    2. Use many small agents instead of one big one.
    Just as software evolved from monoliths to microservices, software delivery benefits from smaller, specialized agents with clearly defined responsibilities. Smaller agents are easier to understand, maintain, and integrate.
    
    3. Define clear environments—the real lever for reliability.
    Instead of chasing perfect prompts or models, focus on clearly defining the tools, resources, and permissions around your agents. Precisely controlling their environments makes agents behave consistently and reliably.
    
    4. Design workflows for easy debugging and observability.
    Agents will sometimes fail unexpectedly. Sam will share simple, effective ways to build clear tracing and observability into your workflows from the start, making debugging quicker and less frustrating.
    
    You'll leave with practical, immediately usable techniques that give you the confidence to trust AI agents in your software delivery pipelines.

  ------------------------------------

    Session ID: 914080
    Track: Agent Reliability
    Speaker: Dexter Horthy (Founder)
    Format: Talk
    Room: Foothill C: Agent Reliability
    Time: 4 Jun 2025 11:35 AM
    Session Title: 12 Factor Agents - Principles of Reliable LLM Applications
    Description:
    Hi, I'm Dex. I've been hacking on AI agents for a while.
    
    I've tried every agent framework out there, from the plug-and-play crew/langchains to the "minimalist" smolagents of the world to the "production grade" langraph, griptape, etc.
    
    I've talked to a lot of really strong founders who are all building really impressive things with AI. Most of them are rolling the stack themselves. I don't see a lot of frameworks in production customer-facing agents.
    
    I've been surprised to find that most of the products out there billing themselves as "AI Agents" are not all that agentic. A lot of them are mostly deterministic code, with LLM steps sprinkled in at just the right points to make the experience truly magical.
    
    Agents, at least the good ones, don't follow the "here's your prompt, here's a bag of tools, loop until you hit the goal" pattern. Rather, they are comprised of mostly just software.
    
    So, I set out to answer:
    
    What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
    

  ------------------------------------

    Session ID: 933692
    Track: Agent Reliability
    Speaker: Richmond Alake (Staff Developer Advocate, AI/ML at MongoDB)
    Room: Willow: Expo Sessions
    Time: 4 Jun 2025 10:40 AM
    Session Title: Architecting Agent Memory: Principles, Patterns, and Best Practices
    Description:
    In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Inspired by the complexity of human memory systems—such as episodic, working, semantic, and procedural memory—this talk unpacks how AI agents can achieve believability, reliability, and capability by retaining and reasoning over past experiences.
    We’ll begin by establishing a conceptual framework based on real-world implementations from memory management libraries and system architectures:
    Memory Components representing various structured memory types (e.g., conversation, workflow, episodic, persona)
    Memory Modes reflecting operational strategies for short-term, long-term, and dynamic memory handling
    Next, the talk transitions to practical implementation patterns critical for effective memory lifecycle management:
    Maintaining rich conversation history and contextual awareness
    Persistence strategies leveraging vector databases and hybrid search
    Memory augmentation using embeddings, relevance scoring, and semantic retrieval
    Production-ready practices for scaling memory in multi-agent ecosystems
    We’ll also examine advanced memory strategies within agentic systems:
    Memory cascading and selective deletion
    Integration of tool use and persona memory
    Optimizing performance around memory retrieval and LLM context window limits
    Whether you're developing autonomous agents, chatbots, or complex workflow orchestration systems, this talk offers knowledge and tactical insights for building AI that can remember, adapt, and improve over time.
    This session is ideal for:
    AI engineers and agent framework developers
    Architects designing Agentic RAG or multi-agent systems
    Practitioners building contextual, personalized AI experiences
    By the end of the session, you’ll understand how to leverage memory as a strategic asset in agentic design—and walk away ready to build agents that not only act and reason but also remember.

  ------------------------------------

    Session ID: 933669
    Track: Agent Reliability
    Speaker: Anushrut Gupta (Applied AI Lead, PromptQL)
    Format: Talk
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 01:30 PM
    Session Title: "Data readiness" is a myth: Make AI Reliabile with an Agentic Semantic Layer
    Description:
    The rapid progress in LLM capability has not translated to increased reliability for business critical AI use cases. The root-cause? Data is "not ready".
    Conversational analytics doesn't go beyond the analyst team because it's hard to verify if the generated queries are actually doing what they are supposed to.
    RAG based systems often fail to handle the breadth and depth of real world use-cases because it requires a prohibitive amount of preparation & maintenance of an underlying knowledge graph.
    
    Agentic AI systems need to hard-code specific workflows to work reliably and end up looking more like software engineering with LLM calls instead of delivering on the promise of truly agentic workflows.
    
    In all of these failure modes, the common culprit is that the planning or reasoning done by the LLM fails to accurately capture the user's intent or the domain's context aka the lack of a well prepared semantic data layer.
    
    Enterprise data is silo-ed and vastly varying levels of quality and the perfect "semantic layer" and "metadata" is a moving target. New data is continuously being created and business definitions are rapidly changing and often entirely on-demand.
    In this talk we'll share how you can build and maintain a semantic data layer that is maintained entirely by AI, and show (with live examples) how that dramatically improves reliability of the AI system that needs dynamic access to data.
    We'll demonstrate how this sufficiently augments existing RAG, text-to-SQL and tool calling techniques and starts opening the door to reliable AI deployments.
    

  ------------------------------------

    Session ID: 933702
    Track: Agent Reliability
    Speaker: Mikiko Bazeley (Staff Developer Advocate, MongoDB)
    Room: Salons 9-15: Expo Hall
    Time: 5 Jun 2025 01:15 PM
    Session Title: Smarter Together: Designing Multi-Agent Systems with Shared, Evolving Memory
    Description:
    In today’s most advanced AI systems, intelligence is no longer confined to a single model or agent—it emerges from coordination. But coordination requires memory: short-term, long-term, and shared. In this talk, we’ll break down how agent systems can store, retrieve, and evolve shared memory to become smarter over time. You'll learn what it takes to architect these continuously learning systems, how to track and improve memory quality, and why robust, flexible infrastructure is the foundation of it all. Stick around to see how this works in practice—live.

  ------------------------------------

    Session ID: 941906
    Track: Agent Reliability
    Speaker: Alex Atallah (CEO OpenRouter, co-founder of OpenSea)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 04:35 PM
    Session Title: fun stories from building OpenRouter and where all this is going
    Description:
    How the first LLM aggregator got started, some of the weird moments in its early growth, architecture challenges, and where we'll be taking it down the road



======================================================================
---  Track: AUTONOMY+ROBOTICS (TBA) ---
======================================================================

    Session ID: 938258
    Track: Autonomy+Robotics
    Speaker: Quan Vuong (Cofounder)
    Format: Keynote
    Session Title: Physical AGI (tbc)
    Description:
    Quan Vuong (Cofounder) and Jost Tobias Springenberg (Research Scientist) from Physical Intelligence discuss the advancements and future of Physical AGI in the Autonomy/Robotics track.

  ------------------------------------

    Session ID: 938258
    Track: Autonomy+Robotics
    Speaker: Jost Tobias Springenberg (Research Scientist)
    Format: Keynote
    Session Title: Physical AGI (tbc)
    Description:
    Quan Vuong (Cofounder) and Jost Tobias Springenberg (Research Scientist) from Physical Intelligence discuss the advancements and future of Physical AGI in the Autonomy+Robotics track.

  ------------------------------------

    Session ID: 915934
    Track: Autonomy+Robotics
    Speaker: Jyh-Jing Hwang (Research Scientist & TLM )
    Format: Talk
    Room: Foothill E: Autonomy + Robotics
    Time: 5 Jun 2025 02:00 PM
    Session Title: Teaching Cars to Think: Language Models and Autonomous Vehicles
    Description:
    This session explores Waymo's latest research on the End-to-End Multimodal Model for Autonomous Driving (EMMA) and advanced sensor simulation techniques. Jyh-Jing Hwang will demonstrate how multimodal large language models like Gemini could improve autonomous driving through unified end-to-end architectures that process raw sensor data directly into driving decisions.
    
    The presentation will showcase EMMA's state-of-the-art performance in trajectory planning, 3D object detection, and road graph understanding, as well as another Drive&Gen research approach to sensor simulation for evaluating an end-to-end motion planning model. Attendees will gain insights into the benefits of co-training across multiple autonomous driving tasks and the potential of controlled video generation for testing under various environmental conditions.
    
    More on EMMA here: https://waymo.com/blog/2024/10/introducing-emma
    

  ------------------------------------

    Session ID: 916103
    Track: Autonomy+Robotics
    Speaker: Annika Brundyn (GenAI Architect)
    Format: Talk
    Room: Foothill E: Autonomy + Robotics
    Time: 5 Jun 2025 11:55 AM
    Session Title: What Is a Humanoid Foundation Model? An Introduction to GR00T N1
    Description:
    Foundation models don’t just write or draw anymore—they’re starting to move.
    
    GR00T N1 is NVIDIA’s open Vision-Language-Action (VLA) foundation model for humanoid robots. Built with a dual-system architecture, it combines a System 2 module for high-level reasoning with a System 1 module for real-time, fluid motor control. It’s trained end-to-end on a an impressive mix of data—from human videos to robot trajectories to synthetic simulations—and deployed on a full-sized humanoid robot performing bimanual manipulation tasks in the real world.
    This talk is a high-level, beginner-friendly overview of GR00T N1:
    - What makes a robot foundation model different from an LLM or vision model
    - How GR00T’s architecture is inspired by cognitive systems
    - Why grounding language, vision, and action together unlocks new generalist capabilities
    
    If you’ve ever wondered how large-scale AI is crossing over into the physical world, this session will get you up to speed—no robotics PhD required.

  ------------------------------------

    Session ID: 916103
    Track: Autonomy+Robotics
    Speaker: Aastha Jhunjhunwala (Solutions Architect)
    Format: Talk
    Room: Foothill E: Autonomy + Robotics
    Time: 5 Jun 2025 11:55 AM
    Session Title: What Is a Humanoid Foundation Model? An Introduction to GR00T N1
    Description:
    Foundation models don’t just write or draw anymore—they’re starting to move.
    
    GR00T N1 is NVIDIA’s open Vision-Language-Action (VLA) foundation model for humanoid robots. Built with a dual-system architecture, it combines a System 2 module for high-level reasoning with a System 1 module for real-time, fluid motor control. It’s trained end-to-end on a an impressive mix of data—from human videos to robot trajectories to synthetic simulations—and deployed on a full-sized humanoid robot performing bimanual manipulation tasks in the real world.
    This talk is a high-level, beginner-friendly overview of GR00T N1:
    - What makes a robot foundation model different from an LLM or vision model
    - How GR00T’s architecture is inspired by cognitive systems
    - Why grounding language, vision, and action together unlocks new generalist capabilities
    
    If you’ve ever wondered how large-scale AI is crossing over into the physical world, this session will get you up to speed—no robotics PhD required.

  ------------------------------------

    Session ID: 945538
    Track: Autonomy+Robotics
    Speaker: Nikhil Abraham (CEO)
    Format: Talk
    Room: Foothill E: Autonomy + Robotics
    Time: 5 Jun 2025 02:20 PM
    Session Title: General purpose robots as professional Chefs
    Description:
    How we converted a bimanual robot into a professional chef that works in novel kitchens and learn new recipes from a single demonstration.

  ------------------------------------

    Session ID: 916140
    Track: Autonomy+Robotics
    Speaker: Stefania Druga (AI Research Scientist )
    Format: Talk
    Room: Foothill E: Autonomy + Robotics
    Time: 5 Jun 2025 11:35 AM
    Session Title: Real-time Experiments with an AI Co-Scientist
    Description:
    The sheer volume of data and complexity of modern scientific challenges necessitate tools that go beyond mere analysis. The vision of an "AI Co-scientist" – a true collaborative partner in the lab – requires sophisticated engineering to bridge the gap between powerful AI reasoning and the dynamic reality of physical experiments. This talk dives into the engineering required to build robust AI Co-scientists for hands-on research. We will explore scalable architectures, such as multi-agent systems leveraging foundation models like Gemini for complex reasoning, hypothesis refinement (inspired by the "generate, debate, evolve" paradigm described in recent AI Co-scientist research), and intelligent tool use. The core focus will be on the engineering challenges and solutions for integrating diverse, real-time empirical data streams – visual data from cameras, quantitative readings from sensors, positional feedback from actuators, and instrument outputs – directly into the AI's reasoning loop. I will illustrate this with concrete, technically detailed examples in chemistry (adaptive reaction monitoring), robotics (vision-guided assembly with SO Arm 100 and LeRobot library), and synthetic biology (real-time bacterial growth monitoring & interpretation). We'll discuss engineering strategies for handling data heterogeneity, latency, noise, and enabling the AI to interpret, correlate, and act upon live experimental feedback. Finally, we will touch upon how thoughtful engineering of these AI Co-scientists can contribute to democratizing access to advanced scientific capabilities.
    



======================================================================
---  Track: DESIGN ENGINEERING (TBA) ---
======================================================================

    Session ID: 915428
    Track: Design Engineering
    Speaker: Maximillian Piras (Product Designer)
    Format: Online Talk
    Room: Foothill G 1&2: Design Engineering
    Time: 5 Jun 2025 11:55 AM
    Session Title: The Bitter Layout or: How I Learned to Love the Model Picker
    Description:
    Are conversational interfaces the future or, as many designers have suggested, a lazy solution that is bottlenecking AI-HCI? Despite well-documented usability issues, the design of many AI applications defaults to an input field, turn-by-turn flow, and an endless model picker — I call this “The Bitter Layout”.
    
    In this talk, we’ll explore how Clay Christensen’s theory of commoditization from the early PC industry can explain why scaling laws require AI interfaces to remain modular until models fully commoditize. The killer feature of conversational interfaces may not be that they’re natural, but that they’re conformable. Learn how to evolve interfaces as inference scales, spot shifts in the basis of competition, and stop worrying about the next model update steamrolling your design decisions.

  ------------------------------------

    Session ID: 914027
    Track: Design Engineering
    Speaker: Victor Dibia (Principal Research Engineer)
    Format: Talk
    Room: Foothill G 1&2: Design Engineering
    Time: 5 Jun 2025 11:15 AM
    Session Title: UX Design Principles for (Semi) Autonomous Multi-Agent Systems
    Description:
    Autonomous or semi-autonomous multi-agent systems (MAS) involve exponentially complex configurations (system config, agent configs, task management and delegation, etc.). These present unique interface design challenges for both developer tooling and end-user experiences.
    In this session, I'll explore UX design principles for multi-agent systems, addressing critical questions: What is the true configuration space for autonomous MAS? How can users arrive at the correct mental model of an MAS's capabilities, if at all? How can we improve trust and safety through techniques like cost-aware action delegation? What makes agent actions observable? How do we enable seamless interruptibility? Attendees will gain actionable insights to create more transparent, trustworthy, and user-centered multi-agent applications, illustrated through real-world implementations in AutoGen Studio - a low code developer tool built on AutoGen (44k stars on GitHub, MIT license) and similar tools.

  ------------------------------------

    Session ID: 914361
    Track: Design Engineering
    Speaker: Shafik Quoraishee (AI Game Engineer)
    Format: Talk
    Room: Foothill G 1&2: Design Engineering
    Time: 5 Jun 2025 12:15 PM
    Session Title: AI and Game Theory: A Case Study on NYT's Connections
    Description:
    This session will examine the interplay between human intuition and artificial intelligence in puzzle-solving, using the popular New York Times Connections game as a practical case study.
    
    We'll investigate how gameplay can be systematically evaluated through AI algorithms, exploring machine learning strategies such as clustering, semantic mapping, and natural language processing.
    
    Attendees will gain insights into building AI-driven puzzle solvers, learn methods for quantitatively assessing gameplay complexity, and discuss the potential impacts of AI on puzzle game design and player engagement.

  ------------------------------------

    Session ID: 915389
    Track: Design Engineering
    Speaker: Christopher Chedeau (Frenchy Front-end Engineer)
    Format: Talk
    Room: Foothill G 1&2: Design Engineering
    Time: 5 Jun 2025 02:00 PM
    Session Title: AI and Human Whiteboarding Partnership
    Description:
    Covid sent everybody home and created the space of virtual whiteboards. At first the experience reused the physical constraints but soon it became better than a physical whiteboard thanks to using virtual native concepts like copy-paste and using keyboard input.
    The next step in this evolution is to integrate AI into the workflow. We've tried a lot of things with Excalidraw and ended up landing on turning prompt into diagram. Come to the talk to understand how it fits into the workflow and how we implemented it.

  ------------------------------------

    Session ID: 916050
    Track: Design Engineering
    Speaker: Ben Holmes (Product Engineer at Warp)
    Format: Online Talk
    Session Title: ChatGPT is poorly designed. So I fixed it
    Description:
    Let's fix ChatGPT's greatest design sins. We'll design and build a working app that makes ChatGPT multi-modal and multi-model. And no, you don't need to know what those words mean to use it.
    
    Download the source code: https://github.com/bholmesdev/fixgpt
    
    References from this video:
    - Try https://warp.dev to vibe code your own solution
    - Watch Scott and Mark's podcast episode, "how to not ship the org chart:" https://www.youtube.com/watch?v=Z1yYcUFzH2A
    - Read "Why is AI marketing so, so bad?" by Evan Armstrong at The Leverage: https://www.gettheleverage.com/p/why-is-ai-marketing-so-so-bad
    -
    

  ------------------------------------

    Session ID: 933474
    Track: Design Engineering
    Speaker: Kenneth DuMez (DevRel Lead, Graphite)
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 03:15 PM
    Session Title: Cattle, not genies: building AI agents from first principles
    Description:
    As magical as they may seem, AI agents should be treated like any other software system. This talk will cover the best practices in designing and building AI systems including observability, security hardening, and proper UX.

  ------------------------------------

    Session ID: 914845
    Track: Design Engineering
    Speaker: John Pham (Head of Design )
    Format: Talk
    Room: Foothill G 1&2: Design Engineering
    Time: 5 Jun 2025 11:35 AM
    Session Title: Good design hasn’t changed with AI
    Description:
    Bad designs are still bad. AI doesn’t make it good. The novelty of AI makes the bad things tolerable, for a short time. Building great designs and experiences with AI have the same first principles pre-AI. When people use software, they want it to feel responsive, safe, accessible and delightful. We’ll go over the big and small details that goes into software that people want to use, not forced to use.

  ------------------------------------

    Session ID: 915783
    Track: Design Engineering
    Speaker: Craig Wattrus (AI Design Engineer)
    Format: Talk
    Room: Foothill G 1&2: Design Engineering
    Time: 5 Jun 2025 02:40 PM
    Session Title: Form factors for your new AI coworkers
    Description:
    Designing user experiences for AI means moving beyond traditional interfaces.
    
    Designers are grappling with how to create intuitive and effective interactions for these new AI capabilities, while growing their practice to include philosophy, ethics and coding.
    
    What if AI interactions could be reimagined as new 'coworkers'? This talk explores AI systems as your new coworkers. Covering novel UX patterns we’ve implemented and are researching at Flatfile as well as a state of the union on emergent patterns we’re seeing and using from the industry.
    
    Attendees will get a peek into explorations into AI Cursors, observation and mimicry, forward-leaning chat paradigms, the 'instruct for transform' model, and the concept of 'human as tool' within AI interactions. We will discuss both work thats in production today at some of our biggest customers as well as thought-provoking demos, offering a vision for the future of AI UX.



======================================================================
---  Track: EVALS (June 5) ---
======================================================================

    Session ID: 936564
    Track: Evals
    Speaker: Micah Hill-Smith (CEO)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 04:00 PM
    Session Title: Trends Across the AI Frontier
    Description:
    The entire AI stack is developing faster than ever - from chips to infrastructure to models. How do you sort the signal from the noise? Artificial Analysis an independent benchmarking and insights company dedicated to helping developers and companies pick the right models and technologies for building applications. This talk will walk through the state of the frontier across the AI stack.

  ------------------------------------

    Session ID: 939130
    Track: Evals
    Speaker: Ankur Goyal (CEO, Braintrust)
    Format: Talk
    Room: Golden Gate Ballroom B: Evals
    Time: 5 Jun 2025 02:00 PM
    Session Title: [Evals Keynote] tba
    Description:
    tbc

  ------------------------------------

    Session ID: 943899
    Track: Evals
    Speaker: Ankur Goyal (CEO, Braintrust)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 04:20 PM
    Session Title: Evals Closing Keynote
    Description:
    The final word on Evals

  ------------------------------------

    Session ID: 915684
    Track: Evals
    Speaker: Taylor Jordan Smith (Senior Developer Advocate)
    Format: Workshop
    Room: Nobhill A&B: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: Beyond Benchmarks: Strategies for Evaluating LLMs in Production
    Description:
    Accuracy scores and leaderboard metrics look impressive—but production-grade AI requires evals that reflect real-world performance, reliability, and user happiness. Traditional benchmarks rarely help you understand how your LLM will perform when embedded in complex workflows or agentic systems. How can you realistically and adequately measure reasoning quality, agent consistency, MCP integration, and user-focused outcomes?
    
    In this practical, example-driven talk, we'll go beyond standard benchmarks and dive into tangible evaluation strategies using various open-source frameworks like GuideLLM and lm-eval-harness. You'll see concrete examples of how to create custom eval suites tailored to your use case, integrate human-in-the-loop feedback effectively, and implement agent reliability checks that reflect production conditions. Walk away with actionable insights and best practices for evaluating and improving your LLMs, ensuring they meet real-world expectations—not just leaderboard positions!

  ------------------------------------

    Session ID: 936156
    Track: Evals
    Speaker: Omar Khattab (Databricks Research Scientist)
    Format: Talk
    Room: Golden Gate Ballroom B: Evals
    Time: 5 Jun 2025 11:15 AM
    Session Title: On Engineering AI Systems that Endure The Bitter Lesson
    Description:
    Will discuss the principles for building AI software that underpin DSPy, highlighting the differences between conventional prompting (or finetuning/RL) versus the design and programming of truly modular AI systems.

  ------------------------------------

    Session ID: 930540
    Track: Evals
    Speaker: Ilan Bigio (Developer Experience)
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: Model-Maxxing: RFT, DPO, SFT (Fine-tuning with OpenAI)
    Description:
    Covering all forms of fine-tuning and prompt engineering, like SFT, DPO, RFT, prompt engineering / optimization, and agent scaffolding.

  ------------------------------------

    Session ID: 942803
    Track: Evals
    Speaker: Doug Guthrie (Solutions Engineer, Braintrust)
    Format: Workshop
    Room: Golden Gate Ballroom C: Workshops
    Time: 3 Jun 2025 10:40 AM
    Session Title: Mastering AI Evaluation: From Playground to Production with Braintrust
    Description:
    This hands-on workshop will guide participants through the complete AI evaluation lifecycle using Braintrust, from initial prompt testing to production monitoring. Attendees will learn to build evaluation frameworks that ensure their AI applications perform reliably in real-world scenarios. Topics covered include both offline and online evaluation strategies, logging and feedback systems, and human review processes.

  ------------------------------------

    Session ID: 933603
    Track: Evals
    Speaker: Suman Debnath (Principal Developer Advocate, AI/ML, AWS)
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 10:45 AM
    Session Title: Introducing Strands Agents, an Open Source AI Agents SDK
    Description:
    Building AI agents used to require complex orchestration, extensive scaffolding, and months of tuning. With Strands Agents, an open source SDK from AWS. You can now build, test, and deploy intelligent agents in just a few lines of code. This session introduces the model-driven approach behind Strands, where a model, a prompt, and a set of tools are all you need to create powerful, production-ready agents. Learn how Strands leverages modern foundation models to handle reasoning, tool use, and reflection, reducing development time from months to days.

  ------------------------------------

    Session ID: 933676
    Track: Evals
    Speaker: Samuel Colvin (Founder of Pydantic)
    Format: Talk
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 01:00 PM
    Session Title: Human-seeded Evals
    Description:
    In this talk I'll introduce the concept of Human-seeded Evals, explain the principle and demo them with Pydantic Logfire.

  ------------------------------------

    Session ID: 933712
    Track: Evals
    Speaker: Nir Gazit (CEO @ Traceloop, OpenLLMetry co-creator)
    Room: Juniper: Expo Sessions
    Time: 5 Jun 2025 01:15 PM
    Session Title: Prompt Engineering is Dead
    Description:
    Manual prompt crafting doesn't scale. In this session, we'll explore how to replace it with a test-driven, automated approach. You'll see how to define output evaluators, write minimal prompts, and let agents iterate toward optimal performance—all without manual tweaking. If you're still hand-tuning prompts, you're doing it wrong.

  ------------------------------------

    Session ID: 916104
    Track: Evals
    Speaker: Jeff Huber (CEO)
    Format: Talk
    Room: Golden Gate Ballroom B: Evals
    Time: 5 Jun 2025 02:40 PM
    Session Title: How to look at your data; what to look for, how to measure
    Description:
    By the end of this talk, you'll understand what it takes to apply clustering techniques and data analysis to understand what is the valuable work that your AI application is doing through analyzing conversation histories and how to create generative evals to benchmark your newly discovered superpowers.

  ------------------------------------

    Session ID: 936133
    Track: Evals
    Speaker: Rafal Wilinski (AI Agents Lead)
    Format: Talk
    Room: Golden Gate Ballroom B: Evals
    Time: 5 Jun 2025 11:35 AM
    Session Title: Turning Fails into Features: Zapier’s Hard-Won Eval Lessons
    Description:
    Every agent failure can be a roadmap to your next breakthrough. This talk reveals how Zapier's evaluation system transforms frustrating user experiences into targeted improvements, creating a data flywheel that continuously strengthens our agents. You'll learn practical approaches for building the data flywheel, detecting implicit feedback signals, building solid evals, prioritizing metrics that actually matter, and why your most reliable evals might secretly be sabotaging your performance.

  ------------------------------------

    Session ID: 942167
    Track: Evals
    Speaker: Manu Goyal (Founding Engineer, Braintrust)
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 09:45 AM
    Session Title: Why should anyone care about Evals?
    Description:
    An introduction to the evals track

  ------------------------------------

    Session ID: 916104
    Track: Evals
    Speaker: Jason Liu (Principal)
    Format: Talk
    Room: Golden Gate Ballroom B: Evals
    Time: 5 Jun 2025 02:40 PM
    Session Title: How to look at your data; what to look for, how to measure
    Description:
    By the end of this talk, you'll understand what it takes to apply clustering techniques and data analysis to understand what is the valuable work that your AI application is doing through analyzing conversation histories and how to create generative evals to benchmark your newly discovered superpowers.

  ------------------------------------

    Session ID: 939231
    Track: Evals
    Speaker: Ido Pesok (AI Engineer, v0)
    Format: Talk
    Room: Golden Gate Ballroom B: Evals
    Time: 5 Jun 2025 11:55 AM
    Session Title: Evals Are Not Unit Tests
    Description:
    How to think about evaluating a non-deterministic system — and how to actually succeed at it.

  ------------------------------------

    Session ID: 936564
    Track: Evals
    Speaker: George Cameron (CPO)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 04:00 PM
    Session Title: Trends Across the AI Frontier
    Description:
    The entire AI stack is developing faster than ever - from chips to infrastructure to models. How do you sort the signal from the noise? Artificial Analysis an independent benchmarking and insights company dedicated to helping developers and companies pick the right models and technologies for building applications. This talk will walk through the state of the frontier across the AI stack.

  ------------------------------------

    Session ID: 915059
    Track: Evals
    Speaker: John Dickerson (CEO, Mozilla AI)
    Format: Talk
    Room: Golden Gate Ballroom B: Evals
    Time: 5 Jun 2025 02:20 PM
    Session Title: 2025 is the Year of Evals!  Just like 2024, and 2023, and …
    Description:
    AI is getting deployed without guardrails, without governance, without due diligence.  Surely this is the year we’ll see a Fortune 500 CEO fired because of a preventable AI incident.  Surely this is the year we’ll see enterprises wake up to pre-deployment evaluation and post-deployment monitoring being an urgent need.  This story hasn’t changed for a decade, but surely this is the year it will.
    
    In this talk, I’ll cover what enterprise-level AI/ML evaluation has looked like for the last decade - what’s changed, what hasn’t, what sells, what doesn’t, and where I see things going from here on out.  Evaluation matters - we all know this - but using my experience in the trenches over the last decade or so I hope to bridge the gap between what practitioners need and what the C-suite pays for in the space of AI evaluations.
    

  ------------------------------------

    Session ID: 942858
    Track: Evals
    Speaker: Carlos  Esteban (Solutions Engineer, Braintrust)
    Format: Workshop
    Room: Golden Gate Ballroom C: Workshops
    Time: 3 Jun 2025 03:30 PM
    Session Title: How to build world-class AI products (featuring Sarah Sachs, AI lead @ Notion)
    Description:
    Join us for a hands-on workshop where you'll learn practical strategies to evaluate AI applications throughout their lifecycle—from initial testing of prompts to ongoing monitoring in production. We’re excited to host Sarah Sachs, AI Lead at Notion, who will share insights into how Notion built their acclaimed Notion AI.

  ------------------------------------

    Session ID: 907684
    Track: Evals
    Speaker: David Karam (CEO)
    Format: Workshop
    Room: Foothill G1&2: Workshops
    Time: 3 Jun 2025 10:40 AM
    Session Title: Solving for the hardest Eval challenge: Building Metrics that actually work
    Description:
    One of the biggest challenges in building evals you can trust is building metrics that reliably measure goodness in your application; metrics that are highly accurate, rapid fast, and tunable to ground truth rater and user behavior. This workshop is inspired by decades of AI and machine learning development in Google Search, reinvented for the modern LLM stack by the Pi team over the past year.
    
    In this workshop you will learn how to:
    1) Brainstorm and design custom metrics tailored to your specific application needs.
    2) Identify which types of signals (natural language, code, other models) work best for your use case through rapid trial and error.
    3) Combine & calibrate your metrics against ground truth data using real examples from your domain.
    4) Use simple tools like Google Sheets for visualizing and analyzing your inputs and outputs with those metrics.
    5) Integrate your scoring models into both online workflows like agent control and offline ones like model comparison and training evaluation.
    
    

  ------------------------------------

    Session ID: 936133
    Track: Evals
    Speaker: Vitor Balocco (Staff AI Engineer)
    Format: Talk
    Room: Golden Gate Ballroom B: Evals
    Time: 5 Jun 2025 11:35 AM
    Session Title: Turning Fails into Features: Zapier’s Hard-Won Eval Lessons
    Description:
    Every agent failure can be a roadmap to your next breakthrough. This talk reveals how Zapier's evaluation system transforms frustrating user experiences into targeted improvements, creating a data flywheel that continuously strengthens our agents. You'll learn practical approaches for building the data flywheel, detecting implicit feedback signals, building solid evals, prioritizing metrics that actually matter, and why your most reliable evals might secretly be sabotaging your performance.

  ------------------------------------

    Session ID: 933702
    Track: Evals
    Speaker: Mikiko Bazeley (Staff Developer Advocate, MongoDB)
    Room: Salons 9-15: Expo Hall
    Time: 5 Jun 2025 01:15 PM
    Session Title: Smarter Together: Designing Multi-Agent Systems with Shared, Evolving Memory
    Description:
    In today’s most advanced AI systems, intelligence is no longer confined to a single model or agent—it emerges from coordination. But coordination requires memory: short-term, long-term, and shared. In this talk, we’ll break down how agent systems can store, retrieve, and evolve shared memory to become smarter over time. You'll learn what it takes to architect these continuously learning systems, how to track and improve memory quality, and why robust, flexible infrastructure is the foundation of it all. Stick around to see how this works in practice—live.

  ------------------------------------

    Session ID: 915826
    Track: Evals
    Speaker: Nathan Sobo (CEO & Co-founder of Zed, co-creator of Atom and Electron)
    Format: Online Talk
    Room: Juniper: Expo Sessions
    Time: 5 Jun 2025 03:15 PM
    Session Title: CI in the Era of AI: From Unit Tests to Stochastic Evals
    Description:
    Software engineers have long understood that high-quality code requires comprehensive automated testing. For decades, our industry has relied on deterministic tests with clear pass/fail outcomes to ensure reliability.
    
    High-quality software depends on automated testing. That's certainly true at Zed, where we're building a next-generation native IDE in Rust. Zed runs at 120 frames per second, but it would also crash once a second if we didn't maintain and run a comprehensive suite of unit tests on every change.
    
    But what happens when AI enters the equation?
    
    In this talk, we'll explore how continuous integration evolves when working with AI components. "Evals" - parlance from the machine learning field - are fundamentally a continuation of the software testing tradition, but with a critical difference: they're inherently stochastic.
    
    Zed's traditional CI goes to extreme lengths to eliminate non-determinism, as nobody likes having their pull requests blocked by flaky builds. We've even fully simulated network interactions with a deterministic random scheduler. AI components, however, forced us to confront a fundamental paradigm shift—uncertainty isn't a bug but an intrinsic feature of these systems, compelling us to embrace what we couldn't avoid.
    
    We'll share our journey of reconceptualizing evals as "stochastic unit tests" - still verifying system behavior, but without binary pass/fail grades.
    
    We'll discuss practical approaches to:
    - Thoughtfully building test suites for AI components
    - Shifting from red/green outcomes to "shades of gray"
    - Replacing build gates with trend analysis and performance monitoring
    - Maintaining engineering confidence despite statistical variance
    
    Whether you're incorporating AI into existing systems or building new AI-powered tools, this talk will provide practical insights into maintaining quality when determinism gives way to probability.



======================================================================
---  Track: GENERATIVE MEDIA (June 5) ---
======================================================================

    Session ID: 910197
    Track: Generative Media
    Speaker: Kelvin Ma (Software Engineer )
    Format: Talk
    Room: Foothill F: Generative Media
    Time: 5 Jun 2025 11:55 AM
    Session Title: Magic Editor Under the Hood: Weaving Generative AI into a Billion-User App
    Description:
    Go behind the scenes of Google Photos' Magic Editor. Explore the engineering feats required to integrate complex CV and cutting-edge generative AI models into a seamless mobile experience. We'll discuss optimizing massive models for latency/size, the crucial interplay with graphics rendering (OpenGL/Halide), and the practicalities of turning research concepts into polished features people actually use.

  ------------------------------------

    Session ID: 943296
    Track: Generative Media
    Speaker: Zeke Sikelianos (Founding Designer)
    Format: Workshop
    Room: Foothill F: Generative Media
    Time: 5 Jun 2025 12:15 PM
    Session Title: Small, sharp tools in the era of generative AI
    Description:
    Replicate makes it easy to run thousands of AI models in the cloud without any machine learning expertise. In this session, we'll show how to make those models available to LLMs as tools that can be combined and chained together, and things start to get really interesting.

  ------------------------------------

    Session ID: 910158
    Track: Generative Media
    Speaker: Gorkem Yurtseven (CTO )
    Format: Talk
    Room: Foothill F: Generative Media
    Time: 5 Jun 2025 11:15 AM
    Session Title: The State of Generative Media Today
    Description:
    Generative AI is reshaping the creative landscape, enabling the production of images, audio, and video with unprecedented speed and sophistication. This session offers an in-depth exploration of the current state of generative media, highlighting cutting-edge models, platforms, and tools that are transforming the industry.

  ------------------------------------

    Session ID: 914081
    Track: Generative Media
    Speaker: Keegan McCallum (Head of ML infrastructure at Luma AI)
    Format: Talk
    Room: Foothill F: Generative Media
    Time: 5 Jun 2025 02:00 PM
    Session Title: General Intelligence is Multimodal
    Description:
    Talking about Luma AI, our mission, and how our ML infrastructure enables SOTA multimodal model development

  ------------------------------------

    Session ID: 943701
    Track: Generative Media
    Speaker: Paige Bailey (Engineering Lead - Developer Relations @ Google DeepMind)
    Format: Talk
    Room: Foothill F: Generative Media
    Time: 5 Jun 2025 11:35 AM
    Session Title: Veo 3 for developers
    Description:
    This talk will briefly trace the history of video generation models before diving into Veo 3, Google DeepMind's latest state-of-the-art model that marks a significant leap by generating video with synchronized audio—including dialogue, sound effects, and music—all from text and image prompts. We'll show how it can understanding intricate details, maintain coherence over longer sequences, and simulate realistic physics and camera movements.
    
    For developers, Veo 3, accessible via Vertex AI (preview), unlocks many new capabilities. We'll discuss how its advanced capabilities, such as semantic context rendering and cinematic control, can empower innovation in filmmaking, game development, education, and more. This session will cover how developers can integrate Veo 3 into their workflows, or test it out today in the Gemini App, Flow, and via the Gemini APIs on Google Cloud.

  ------------------------------------

    Session ID: 947929
    Track: Generative Media
    Speaker: Sharif Shameem (Lexica Founder)
    Format: Talk
    Room: Foothill F: Generative Media
    Time: 5 Jun 2025 02:20 PM
    Session Title: Good demos are important
    Description:
    Creating and sharing demos is the easiest way to influence the future. It gets people to think about what's possible. A good tech demo doesn't have to be fully fleshed out. It doesn't even have to be fully functional. The purpose of a demo is to inspire. A good demo makes you feel like someone jumped into the future and pulled back an idea to the present.

  ------------------------------------

    Session ID: 933493
    Track: Generative Media
    Speaker: Chad Bailey (Senior Voice Bots Engineer, Daily)
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 10:40 AM
    Session Title: Realtime conversational video with Pipecat and Tavus
    Description:
    Tavus shipped the world's first realtime video avatar platform last year. Developers use Tavus' conversational video APIs to create education, social, and customer support agents. The Tavus team built their innovative product using the Pipecat open source framework and Daily's global WebRTC infrastructure. Join us for a technical deep dive into conversational video.

  ------------------------------------

    Session ID: 933493
    Track: Generative Media
    Speaker: Brian Johnson (Staff Engineer, Tavus)
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 10:40 AM
    Session Title: Realtime conversational video with Pipecat and Tavus
    Description:
    Tavus shipped the world's first realtime video avatar platform last year. Developers use Tavus' conversational video APIs to create education, social, and customer support agents. The Tavus team built their innovative product using the Pipecat open source framework and Daily's global WebRTC infrastructure. Join us for a technical deep dive into conversational video.

  ------------------------------------

    Session ID: 947560
    Track: Generative Media
    Speaker: Comfy Anonymous (Original creator of ComfyUI)
    Room: Salons 2-6: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: ComfyUI
    Description:
    Quick introduction to ComfyUI and what's new followed by a QA session.



======================================================================
---  Track: GRAPHRAG (June 4) ---
======================================================================

    Session ID: 932429
    Track: GraphRAG
    Speaker: Ben Kus (CTO)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 4 Jun 2025 02:00 PM
    Session Title: Building an Agentic Platform
    Description:
    Explore the technical evolution of metadata extraction at Box and how it shaped the foundation of our AI platform. We’ll walk through our transition to an agentic-first design—why it was necessary, how we approached the rebuild, challenges we encountered along the way, and the advantages it unlocked.

  ------------------------------------

    Session ID: 915992
    Track: GraphRAG
    Speaker: Mitesh Patel (Developer Advocate Manager)
    Format: Talk
    Room: Golden Gate Ballroom B: GraphRAG
    Time: 4 Jun 2025 11:15 AM
    Session Title: HybridRAG: A Fusion of Graph and Vector Retrieval to Enhance Data Interpretation
    Description:
    Interpreting complex information from unstructured text data poses significant challenges to Large Language Models (LLM), with difficulties often arising from specialized terminology and the multifaceted relationships between entities in document architectures. Conventional Retrieval Augmented Generation (RAG) methods face limitations in capturing these nuanced interactions, leading to suboptimal performance. In our talk, we introduce a novel approach integrating Knowledge Graph-based RAG (GraphRAG) with VectorRAG, designed to refine question-answering (Q&A) systems for more effective information extraction from complex texts. Our approach employs a dual retrieval strategy that harnesses both knowledge graphs and vector databases, enabling the generation of precise and contextually appropriate answers, thereby setting a new standard for LLMs in processing sophisticated data.

  ------------------------------------

    Session ID: 933671
    Track: GraphRAG
    Speaker: Zach Blumenfeld (AI/ML Product Specialist)
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 12:45 PM
    Session Title: Agentic GraphRAG: Simplifying Retrieval Across Structured & Unstructured Data
    Description:
    Agentic workflows often become complex, brittle, and hard to maintain when they need to retrieve and reason across both structured data (typically requiring precise query execution) and unstructured data (commonly handled via vector search in RAG). In this talk, we’ll explore how mapping key information into a knowledge graph can simplify these workflows and improve retrieval quality. You’ll learn core concepts behind GraphRAG, how to integrate it into agent tools, and get access to end-to-end code examples so you can start building right away.

  ------------------------------------

    Session ID: 921229
    Track: GraphRAG
    Speaker: Andreas Kollegger (GenAI Lead)
    Format: Workshop
    Room: Golden Gate Ballroom C: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: Graph Intelligence: Enhance Reasoning and Retrieval Using Graph Analytics
    Description:
    Advanced GraphRAG techniques apply graph ML and algorithms, wrapped into tidy notebooks.

  ------------------------------------

    Session ID: 933714
    Track: GraphRAG
    Speaker: Zach Blumenfeld (Graph Data Science & AI Specialist, Neo4j)
    Format: Workshop
    Room: Golden Gate Ballroom C: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: Intro to GraphRAG
    Description:
    Learn the foundations of GraphRAG, starting with knowledge graph construction and then common retrieval patterns.

  ------------------------------------

    Session ID: 915740
    Track: GraphRAG
    Speaker: Jesús Barrasa (AI Field CTO)
    Format: Talk
    Room: Golden Gate Ballroom B: GraphRAG
    Time: 4 Jun 2025 02:00 PM
    Session Title: Practical GraphRAG - Making LLMs smarter with Knowledge Graphs
    Description:
    RAG has become one standard architecture component for GenAI applications to address hallucinations and integrate factual knowledge. While vector search over text is common, knowledge graphs represent a proven advancement by leveraging advanced RAG patterns to access and integrate interconnected factual information, complementing the language skills of LLMs. This talk explores GraphRAG challenges, implementation patterns, and real-world agentic examples with Google's ADK, demonstrating how this approach delivers more trustworthy and explainable GenAI solutions with enhanced reasoning capabilities.

  ------------------------------------

    Session ID: 933646
    Track: GraphRAG
    Speaker: Jesús Barrasa (AI Field CTO)
    Room: Juniper: Expo Sessions
    Time: 5 Jun 2025 10:45 AM
    Session Title: Why Your Agent’s Brain Needs a Playbook: Practical Wins from Using Ontologies
    Description:
    You're trying to guide how your agents think and act. Code-orchestrated workflows are too rigid, but LLMs charting their own course feel too chaotic. When you need a middle ground, it’s time to reach for the secret weapon: ontologies. These graph-shaped fragments of actionable knowledge can fill in critical gaps.
    
    In this talk, we’ll explore together how ontologies bring structure, semantics, and sanity to GenAI-powered applications. You’ll learn when they’re useful, how to apply them, and what kinds of problems they help solve. Through practical examples, we’ll show how ontologies (1) guide knowledge graph construction, (2) add a semantic layer for more efficient and accurate retrieval (GraphRAG), and (3) encode domain logic you don’t want to leave up to the LLM.

  ------------------------------------

    Session ID: 914548
    Track: GraphRAG
    Speaker: Chin Keong Lam (AI Engineer & Co-Founder )
    Format: Talk
    Room: Golden Gate Ballroom B: GraphRAG
    Time: 4 Jun 2025 11:35 AM
    Session Title: Wisdom Discovery at Scale: Code Less KAG with n8n MultiAI Agents
    Description:
    "Wisdom Discovery at Scale: Code Less KAG with n8n MultiAI Agents"

  ------------------------------------

    Session ID: 933706
    Track: GraphRAG
    Speaker: Thibaut  Gourdel (Senior Technical Product Marketing Manager, MongoDB)
    Room: Salons 9-15: Expo Hall
    Time: 4 Jun 2025 11:00 AM
    Session Title: GraphRAG: Integrating LLMs with Knowledge Graphs
    Description:
    While traditional RAG is effective, it can struggle with complex relationships and reasoning across large knowledge bases. GraphRAG, an advanced variant, addresses these challenges by leveraging knowledge graphs to enable deeper understanding and improved response accuracy. Learn how LLMs extract key entities and relationships from your data to construct a graph structure, and how the system uses graph traversal to find related entities and enrich prompts. Stay for a live demo showcasing these concepts in action.

  ------------------------------------

    Session ID: 915740
    Track: GraphRAG
    Speaker: Michael Hunger (VP of Product Innovation)
    Format: Talk
    Room: Golden Gate Ballroom B: GraphRAG
    Time: 4 Jun 2025 02:00 PM
    Session Title: Practical GraphRAG - Making LLMs smarter with Knowledge Graphs
    Description:
    RAG has become one standard architecture component for GenAI applications to address hallucinations and integrate factual knowledge. While vector search over text is common, knowledge graphs represent a proven advancement by leveraging advanced RAG patterns to access and integrate interconnected factual information, complementing the language skills of LLMs. This talk explores GraphRAG challenges, implementation patterns, and real-world agentic examples with Google's ADK, demonstrating how this approach delivers more trustworthy and explainable GenAI solutions with enhanced reasoning capabilities.

  ------------------------------------

    Session ID: 916063
    Track: GraphRAG
    Speaker: Ola  Mabadeje (Product Leader)
    Format: Talk
    Room: Golden Gate Ballroom B: GraphRAG
    Time: 4 Jun 2025 02:20 PM
    Session Title: Multi-Agent AI and Network Knowledge Graphs for Change Management and Network Testing
    Description:
    Traditional ticketing and testing workflows for change management and network operations often operate independently and lack critical real-world context and adaptive decision making capabilities. This fragmented approach results in delayed resolutions, repeated incidents, escalations, and dissatisfied stakeholders.
    
    This session explores an innovative solution leveraging the synergy of natural language processing from IT Service Management (ITSM) systems, Multi-agent reasoning, and dynamic context derived from live knowledge network graphs. Attendees will gain insights into an end-to-end architecture where natural language intents from ITSM tickets seamlessly integrate with experts AI agents for complex workflow tasks, supported by continuous network knowledge graph ingestion pipelines.
    
    Through a detailed production case study, we will demonstrate how Agentic reasoning combined with dynamic network knowledge graph contexts significantly improves critical validation and workflow interactions. The showcased results will highlight dramatic improvements in ticket resolution efficiency, accuracy of network testing, and overall execution quality, delivering tangible value to both technical teams and business stakeholders.

  ------------------------------------

    Session ID: 915023
    Track: GraphRAG
    Speaker: Daniel Chalef (Founder, Zep AI)
    Format: Online Talk
    Room: Golden Gate Ballroom B: GraphRAG
    Time: 4 Jun 2025 12:15 PM
    Session Title: Stop Using RAG as Memory
    Description:
    RAG is great for static knowledge retrieval—but terrible at memory. Vectorstore-based systems sold as memory lack relational and temporal awareness, leading agents astray with outdated or ambiguous information.
    
    Discover how temporally-aware knowledge graphs—built by the open-source Graphiti framework—solve these limitations. You’ll learn practical strategies to maintain precise, context-rich memory, enabling agents to reason accurately about historical context and knowledge provenance.

  ------------------------------------

    Session ID: 912811
    Track: GraphRAG
    Speaker: Sam Julien (Director of Developer Relations )
    Format: Talk
    Room: Golden Gate Ballroom B: GraphRAG
    Time: 4 Jun 2025 11:55 AM
    Session Title: When Vectors Break Down: Graph-Based RAG for Dense Enterprise Knowledge
    Description:
    Enterprise knowledge bases are filled with "dense mapping," thousands of documents where similar terms appear repeatedly, causing traditional vector retrieval to return the wrong version or irrelevant information. When our customers kept hitting this wall with their RAG systems, we knew we needed a fundamentally different approach.
    
    In this talk, I'll share Writer's journey developing a graph-based RAG architecture that achieved 86.31% accuracy on the RobustQA benchmark while maintaining sub-second response times, significantly outperforming vector approaches.
    
    I'll survey the key techniques behind this performance leap and why graph-based approaches excel with complex enterprise information structures like product documentation, financial documents, and technical specifications that challenge traditional RAG systems. You'll learn about using specialized LLMs to build semantic relationships, how compression techniques efficiently handle concentrated enterprise data patterns, and how infusing key data points in the memory layer of the LLM lowers hallucination.
    
    The presentation will provide practical insights into identifying when graph-based approaches make sense for your organization's specific data challenges, helping you make informed architectural decisions for your next enterprise RAG system.

  ------------------------------------

    Session ID: 921229
    Track: GraphRAG
    Speaker: Alison Cossette (Data Science Strategist, Advocate, Educator)
    Format: Workshop
    Room: Golden Gate Ballroom C: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: Graph Intelligence: Enhance Reasoning and Retrieval Using Graph Analytics
    Description:
    Advanced GraphRAG techniques apply graph ML and algorithms, wrapped into tidy notebooks.

  ------------------------------------

    Session ID: 933549
    Track: GraphRAG
    Speaker: Stephen Chin (VP of Developer Relations)
    Room: Willow: Expo Sessions
    Time: 4 Jun 2025 01:30 PM
    Session Title: Agentic GraphRAG: AI’s Logical Edge
    Description:
    AI models are getting tasked to do increasingly complex and industry specific tasks where different retrieval approaches provide distinct advantages in accuracy, explainability, and cost to execute. GraphRAG retrieval models have become a powerful tool to solve domain specific problems where answers require logical reasoning and correlation that can be aided by graph relationships and proximity algorithms. We will demonstrate how an agent architecture combining RAG and GraphRAG retrieval patterns can bridge the gap in data analysis, strategic planning, and retrieval to solve complex domain specific problems.

  ------------------------------------

    Session ID: 915740
    Track: GraphRAG
    Speaker: Stephen Chin (VP of Developer Relations)
    Format: Talk
    Room: Golden Gate Ballroom B: GraphRAG
    Time: 4 Jun 2025 02:00 PM
    Session Title: Practical GraphRAG - Making LLMs smarter with Knowledge Graphs
    Description:
    RAG has become one standard architecture component for GenAI applications to address hallucinations and integrate factual knowledge. While vector search over text is common, knowledge graphs represent a proven advancement by leveraging advanced RAG patterns to access and integrate interconnected factual information, complementing the language skills of LLMs. This talk explores GraphRAG challenges, implementation patterns, and real-world agentic examples with Google's ADK, demonstrating how this approach delivers more trustworthy and explainable GenAI solutions with enhanced reasoning capabilities.

  ------------------------------------

    Session ID: 916143
    Track: GraphRAG
    Speaker: Mark Bain (Founder & Research Scientist)
    Format: Workshop
    Room: Golden Gate Ballroom B: GraphRAG
    Time: 4 Jun 2025 01:00 PM
    Session Title: Make Your AI Agents Remember What They Do!
    Description:
    Are you ready to give your AI agents a memory upgrade?
    Join us for a hands-on, fast-paced workshop where we explore how memory can transform your agents.
    
    What You'll Do:
    Set Up Leading Memory Solutions: Get practical, side-by-side experience with open-source tools including AIUS, Cognee, LangMem, MemGPT, Mem0, and Zep.
    
    Explore Memory Types: Learn the theory behind agent memory, including long-term, short-term, episodic, semantic, and other memory types.
    
    Run Experiments: Test how memory improves recall, contextual awareness, and reasoning in autonomous agents.
    
    Compare Implementations: Get a snapshot of how different solutions implement memory—what’s built-in, what’s flexible, and what’s experimental.
    
    Whether you’re working on AI copilots, agentic workflows, or research prototypes—this workshop will help you embed real memory into your AI stack.

  ------------------------------------

    Session ID: 900332
    Track: GraphRAG
    Speaker: Tom Smoker (Technical Founder )
    Room: Golden Gate Ballroom B: GraphRAG
    Time: 4 Jun 2025 02:40 PM
    Session Title: Beyond Documents: Implementing Knowledge Graphs in Legal Agents
    Description:
    Structured Representations are pretty important in the law, where the relationships between clauses, documents, entities, and multiple parties matter. Structured Representation means Structured Context Injection. Better Context, Less Hallucinations. We walk through a couple of case studies of systems that we’ve built in production for legal use-cases - from recursive contractual clause retrieval, to HITL legal reasoning news agents.
    
    You'll gain insights into how structured representations significantly improve the effectiveness and reliability of legal agents.
    



======================================================================
---  Track: INFRASTRUCTURE (June 4) ---
======================================================================

    Session ID: 916189
    Track: Infrastructure
    Speaker: Jesse Han (Founder)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 10:10 AM
    Session Title: The infrastructure for the singularity
    Description:
    We're at an inflection point where AI agents are transitioning from experimental tools to practical coworkers. This new world will demand new infrastructure for RL training, test-time scaling, and deployment. This is why Morph Labs developed Infinibranch last year, and we are excited to finally unveil what's next.

  ------------------------------------

    Session ID: 932429
    Track: Infrastructure
    Speaker: Ben Kus (CTO)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 4 Jun 2025 02:00 PM
    Session Title: Building an Agentic Platform
    Description:
    Explore the technical evolution of metadata extraction at Box and how it shaped the foundation of our AI platform. We’ll walk through our transition to an agentic-first design—why it was necessary, how we approached the rebuild, challenges we encountered along the way, and the advantages it unlocked.

  ------------------------------------

    Session ID: 916116
    Track: Infrastructure
    Speaker: Solomon Hykes (CEO & Co-founder of Dagger, creator of Docker)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 09:50 AM
    Session Title: Containing Agent Chaos
    Description:
    AI agents promise breakthroughs but often deliver operational chaos. Building reliable, deployable systems with unpredictable LLMs feels like wrestling fog – testing outputs alone is insufficient when the underlying workflow is opaque and flaky. How do we move beyond fragile prototypes?
    
    This talk, from the creator of Docker, argues the solution lies *outside* the model: engineering **reproducible execution workflows** built on rigorous architectural discipline. Learn how **containerization**, applied not just to deployment but to *each individual step* of an agent's workflow, provides the essential **isolation and environmental consistency** needed.
    
    Discover how combining this granular container approach with patterns like immutable state management allows us to **contain agent chaos**, unlock effective testing, simplify debugging, and bring essential control and predictability back to building powerful AI agents you can actually ship with confidence.

  ------------------------------------

    Session ID: 933599
    Track: Infrastructure
    Speaker: Arjun Desai (Co-Founder, Cartesia)
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 01:15 PM
    Session Title: Serving Voice  AI at Scale
    Description:
    Real-Time  Voice AI applications demand the lowest possible latencies to enhance user  experiences with more advanced reasoning and agentic capabilities. AWS is  hosting Arjun Desai, co-founder of Cartesia, in a fireside chat for a  technical deep dive into learnings and best practices for building a  state-of-the-art inference stack that serves global enterprise customers.

  ------------------------------------

    Session ID: 905305
    Track: Infrastructure
    Speaker: Dr. Jasper Zhang, PhD (CEO)
    Format: Talk
    Room: Foothill F: Infrastructure
    Time: 4 Jun 2025 11:35 AM
    Session Title: Why We Don’t Need More Data Centers
    Description:
    AI infrastructure today is caught in an endless cycle: build more data centers, deploy more GPUs, repeat.
    
    But this approach is fundamentally flawed—expensive, inefficient, and environmentally unsustainable.
    
    In this talk, we will unpack why continuously expanding data centers masks deeper infrastructure inefficiencies, and why leveraging a GPU marketplace to dynamically allocate existing resources is essential.
    
    We will explore practical use-cases where companies scale GPU capacity flexibly, startups gain affordable compute, and idle GPUs are monetized, enabling a future of sustainable and democratized AI infrastructure.

  ------------------------------------

    Session ID: 914934
    Track: Infrastructure
    Speaker: Paul Klein IV (Founder)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 5 Jun 2025 02:40 PM
    Session Title: The Web Browser Is All You Need
    Description:
    With the rise of MCP servers, A2A, and our trusty friend, OpenAPI, it turns out the web browser may be the default MCP server for the rest of the internet.
    
    In this talk, we'll walk through how a web browsing tool is probably the only tool you'll need to enable production AI Agents.

  ------------------------------------

    Session ID: 933612
    Track: Infrastructure
    Speaker: Antje Barth (Principal Developer Advocate)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 4 Jun 2025 04:05 PM
    Session Title: Building  Agents at Cloud-Scale
    Description:
    Let's explore  practical strategies for building and scaling agents in production. Discover  how to move from local MCP implementations to cloud-scale architectures and  how engineering teams leverage these patterns to develop sophisticated agent  systems. Expect a mix of demos, use case discussions, and a glimpse into the  future of agentic services!

  ------------------------------------

    Session ID: 933652
    Track: Infrastructure
    Speaker: Mason Egger (Sr. Developer Advocate - Temporal )
    Room: Willow: Expo Sessions
    Time: 4 Jun 2025 01:00 PM
    Session Title: Events are the Wrong Abstraction for Your AI Agents
    Description:
    AI Agents are distributed systems. Agents need to connect and communicate with tools, data repositories, other agents, etc., all over a network. Event-Driven Architecture is a common pattern for facilitating this connectivity, using Events as the communication abstraction. However, this pattern introduces complexities as well, such as fragmented logic, increased latency, decreased observability, and more. But what if there were a way to get the benefits of Event-Driven Architecture without the complexities? Enter Durable Execution. In this talk, we'll discuss the pitfalls of Event-Driven Architecture, how Durable Execution solves these issues, and why Durable Execution, not Events, is the correct abstraction for building AI Agents.

  ------------------------------------

    Session ID: 928676
    Track: Infrastructure
    Speaker: Dylan Patel (Chief Analyst)
    Format: Talk
    Room: Foothill F: Infrastructure
    Time: 4 Jun 2025 02:00 PM
    Session Title: [Infra Keynote] Geopolitics of AI Infrastructure
    Description:
    As AI reshapes the global balance of power, the infrastructure behind it—chips, data centers, power, and supply chains—has become a new arena for geopolitical competition. This talk explores how nations are racing to secure critical AI hardware, control compute capacity, and assert influence over the technologies and talent that define the future.

  ------------------------------------

    Session ID: 933641
    Track: Infrastructure
    Speaker: Kshitij  Grover (Co-Founder & CTO, Orb Inc.)
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 01:15 PM
    Session Title: Revenue Engineering: How to Price (and Reprice) Your AI Product
    Description:
    You’ve trained the model—now it’s time to train the business. This talk dives into the engineering behind pricing systems that can evolve as fast as your AI stack.
    
    Orb CTO Kshitij Grover will walk through how leading AI companies design infrastructure to support experimentation, scale, and real-world monetization constraints.
    
    Topics include:
    - How to meter usage and map it to pricing with accuracy and auditability
    - Factoring in margins and underlying costs when designing pricing strategy
    - Handling complexity across motions: self-serve vs. enterprise, pay-as-you-go vs. committed contracts
    - How to test pricing changes safely (and roll them back when needed)
    
    Whether you’re bootstrapping a pricing system from scratch or replacing a brittle V1, you’ll leave with architectural patterns and mental models to make pricing a first-class engineering concern.
    

  ------------------------------------

    Session ID: 916066
    Track: Infrastructure
    Speaker: Yineng Zhang (Inference lead at SGLang)
    Format: Workshop
    Room: SOMA: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: Introduction to LLM serving with SGLang
    Description:
    Do you want to learn how to serve models like DeepSeek and Qwen with SOTA speeds on launch day? SGLang is an open-source fast serving framework for LLMs and VLMs that generates trillions of tokens per day at companies like xAI, AMD, and Meituan. This workshop guides AI engineers who are familiar with serving models using frameworks like vLLM, Ollama, and TensorRT-LLM through deploying and optimizing their first model with SGLang, as well as providing guidance on when SGLang is the appropriate tool for LLM workloads.

  ------------------------------------

    Session ID: 933605
    Track: Infrastructure
    Speaker: Mani Khanuja (Principal ML Services SA)
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 03:30 PM
    Session Title: Data is Your Differentiator: Building Secure and Tailored AI Systems
    Description:
    As  organizations seek to harness their proprietary data while maintaining  security and compliance, Amazon Bedrock provides a comprehensive framework  for building tailored AI applications. Using Amazon Bedrock Knowledge Bases  and Amazon Bedrock Data Automation, organizations can create AI solutions  that truly understand their unique business context, terminology, and  requirements. Combined with Amazon Bedrock Guardrails, these capabilities  enhance the accuracy and relevance of AI-generated responses, while ensuring  that sensitive information remains protected within the organization's  control - enabling businesses to build secure and compliant enterprise-grade  generative AI solutions that accelerate time to value.

  ------------------------------------

    Session ID: 933625
    Track: Infrastructure
    Speaker: Philipp Krenn (Code and conference monkey)
    Room: Willow: Expo Sessions
    Time: 4 Jun 2025 03:15 PM
    Session Title: Vector Search Benchmark[eting]
    Description:
    Every vector database out there is both faster and slower than any other competitor — if you believe all the benchmarketing out there.
    Let's turn the marketing into useful benchmarks that actually help you:
    1. How not to benchmark (spoiler: don’t trust the glossy charts).
    2. What’s uniquely tricky about benchmarking vector search.
    3. How to build meaningful benchmarks tailored to your use case.
    
    PS: Yes, you will have to get your hands dirty. Never believe a benchmark that you haven't tweaked yourself.

  ------------------------------------

    Session ID: 915471
    Track: Infrastructure
    Speaker: Kyle Kranen US (Engineering Manager - Deep Learning Algorithms )
    Format: Talk
    Room: Foothill F: Infrastructure
    Time: 4 Jun 2025 02:20 PM
    Session Title: Hacking the Inference Pareto Frontier for Cheaper and Faster Tokens Without Breaking SLAs
    Description:
    Your model works! It aces the evals! It even passes the vibe check! All that’s required is inference, right? Oops, you’ve just stepped into a minefield:
    
    -Not low-latency enough? Choppy experience. Users churn from your app.
    -Not cheap enough? You’re losing money on every query.
    -Not high enough output quality? Your system can’t be used for that application.
    
    A model and the inference system around it form a “token factory” associated with a Pareto frontier— a curve representing the best possible trade-offs between cost, throughput, latency and quality, outside of which your LLM system cannot be applied successfully.
    
    Outside of the Pareto frontier? You’re back to square one.
    That is, unless you’re able to change the shape of the Pareto frontier.
    
    In this session, we’ll introduce NVIDIA Dynamo, a datacenter-scale distributed inference framework as well as the bleeding-edge techniques it enables to hack the Pareto frontier of your inference systems, including:
    
    -Disaggregation - separating phases of LLM generation to make them more efficient
    -Speculation - predicting multiple tokens per cycle
    -KV routing, storage, and manipulation - ensuring that we don’t redo work that has already been done
    -Pipelining improvements for agents - accelerating our workflows using information about the agent
    
    By the end of the talk, we’ll understand how the Pareto frontier limits where models can be applied, the intuition behind how inference techniques can be used to modify it, as well as the mechanics of how these techniques work.
    

  ------------------------------------

    Session ID: 933599
    Track: Infrastructure
    Speaker: Rohit Talluri (Senior Worldwide Generative AI Specialist BD - Foundation Model Training & Inference)
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 01:15 PM
    Session Title: Serving Voice  AI at Scale
    Description:
    Real-Time  Voice AI applications demand the lowest possible latencies to enhance user  experiences with more advanced reasoning and agentic capabilities. AWS is  hosting Arjun Desai, co-founder of Cartesia, in a fireside chat for a  technical deep dive into learnings and best practices for building a  state-of-the-art inference stack that serves global enterprise customers.

  ------------------------------------

    Session ID: 933610
    Track: Infrastructure
    Speaker: Mike Chambers (AI/ML Specialist DA AWS)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 5 Jun 2025 12:15 PM
    Session Title: Ship it! Building Production-Ready Agents
    Description:
    Explore the practical challenges and solutions for deploying AI agents in real-world production environments. Through detailed technical analysis and practical examples, we'll examine strategies for building and orchestrating agent systems at scale. We'll cover critical infrastructure decisions, scalability frameworks, and best practices for creating robust, production-ready agent architectures.

  ------------------------------------

    Session ID: 912986
    Track: Infrastructure
    Speaker: Robert  Wachen (Co-founder of Etched )
    Format: Talk
    Room: Foothill F: Infrastructure
    Time: 4 Jun 2025 02:40 PM
    Session Title: Flipping the Inference Stack: Why GPUs Bottleneck Real-Time AI at Scale
    Description:
    AI inference today is stuck in a loop: throw more GPUs at the problem, scale horizontally, rinse and repeat. But that playbook is hitting a wall. Latency, cost, and energy grids are all suffering, and the capability for real-time AI at scale looks further and further away. In this talk, AI hardware expert and founder Gavin Uberti will break down why the current approach to inference is masking deep inefficiencies, and how rethinking the hardware stack from the ground up (starting with inference-first chips) is the only way to unlock real-time AI at scale.

  ------------------------------------

    Session ID: 942943
    Track: Infrastructure
    Speaker: John Welsh (Member of technical staff, Anthropic)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 7-8: MCP
    Time: 4 Jun 2025 11:35 AM
    Session Title: What we learned from shipping remote MCP support at Anthropic
    Description:
    We recently released remote MCP support for both claude.ai and the Anthropic API. This talk will cover architectural decisions we made in our implementation, remote MCP authentication, supporting engineers who are building out agentic AI tools, implementing custom internal transports, and whatever else we can fit into 18 minutes of your time.

  ------------------------------------

    Session ID: 933719
    Track: Infrastructure
    Speaker: Charles Frye (Developer Advocate, Modal Labs)
    Format: Workshop
    Room: Foothill F: Infrastructure
    Time: 4 Jun 2025 11:15 AM
    Session Title: What every AI engineer needs to know about GPUs
    Description:
    Every programmer needs to know a few things about hardware, like processors, memory, and disks. Due to AI systems' extreme demand for mathematical processing power, AI engineers need to know a few things about GPUs -- the world's most popular high-throughput mathematical co-processor.
    
    In this talk, I will explain the fundamental engineering constraints and design decisions that shape GPUs and trace those up to some counter-intuitive facts about the performance characteristics of AI systems, with actionable insights for their deployers and consumers.

  ------------------------------------

    Session ID: 933656
    Track: Infrastructure
    Speaker: Nick Nisi (Software developer and panelist on the JS Party podcast)
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 12:45 PM
    Session Title: Agents, Access, and the Future of Machine Identity
    Description:
    AI agents are calling APIs, submitting forms, and sending emails—but how do you control what they’re allowed to do? As agents act on behalf of users or organizations, traditional patterns like OAuth, session tokens, and role-based access often fall short.
    In this talk, we’ll explore how machine identity is evolving to meet this new landscape. You’ll learn:
    
    - How to think about authentication for agents (not just humans)
    - What it means to authorize an action when the actor is an LLM or headless service
    - Real-world strategies from WorkOS and Cloudflare for assigning, managing, and revoking agent identity and access
    
    By the end, you’ll walk away with practical tools and mental models to build agent-powered systems that are secure, auditable, and scalable.

  ------------------------------------

    Session ID: 916066
    Track: Infrastructure
    Speaker: Philip Kiely (Head of Developer Relations)
    Format: Workshop
    Room: SOMA: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: Introduction to LLM serving with SGLang
    Description:
    Do you want to learn how to serve models like DeepSeek and Qwen with SOTA speeds on launch day? SGLang is an open-source fast serving framework for LLMs and VLMs that generates trillions of tokens per day at companies like xAI, AMD, and Meituan. This workshop guides AI engineers who are familiar with serving models using frameworks like vLLM, Ollama, and TensorRT-LLM through deploying and optimizing their first model with SGLang, as well as providing guidance on when SGLang is the appropriate tool for LLM workloads.

  ------------------------------------

    Session ID: 937137
    Track: Infrastructure
    Speaker: Alex Cheema (Co-Founder)
    Format: Talk
    Room: Foothill F: Infrastructure
    Time: 4 Jun 2025 11:55 AM
    Session Title: Large Scale AI on Apple Silicon using EXO
    Description:
    The hardware lottery: when a research idea wins because it is better suited to current hardware and software, and not because it is universally superior.
    
    Machine learning researchers often treat hardware as a fixed constraint and stop exploring beyond it. Yet historically, breakthroughs have come from algorithms that best align with the dominant hardware-software stack - neural networks being a classic example.
    
    In this talk, EXO Labs co-founder Alex Cheema will share recent algorithmic improvements for running large scale AI workloads on Apple Silicon.
    
    Alex will demonstrate how the EXO Framework enables inference, fine-tuning, and training of large ML models on Apple Silicon, from the scale of one MacBook locally to clusters of colocated M3 Ultra Mac Studios.



======================================================================
---  Track: MCP (June 4) ---
======================================================================

    Session ID: 911821
    Track: MCP
    Speaker: Damien Murphy (Founding Engineer)
    Format: Workshop
    Room: Foothill G1&2: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: A2A & MCP: Automating Business Processes with LLMs
    Description:
    Ever wished your webhooks could think for themselves? Join us to discover how A2A agents can transform passive webhook endpoints into intelligent workflow processors.
    
    In this session, we'll show you how to build a system that automatically spawns AI Agents to handle incoming webhooks.
    
    Using Google's Agent-to-Agent framework and MCP, you'll learn how to create dynamic AI agents that respond to events, communicate with external services, and make decisions based on content analysis.
    
    See the future of workflow automation where webhooks don't just trigger actions—they trigger intelligence!

  ------------------------------------

    Session ID: 933688
    Track: MCP
    Speaker: Zack Proser (Open source hacker. Dev Education at WorkOS)
    Format: Workshop
    Room: Salons 2-6: Workshops
    Time: 3 Jun 2025 03:30 PM
    Session Title: AI Pipelines and Agents in Pure TypeScript with Mastra.ai
    Description:
    This hands-on workshop introduces Mastra.ai, a TypeScript framework that streamlines the development of agentic AI systems compared to traditional approaches using LangChain and vector databases. Participants will learn to build structured AI workflows with composable tools and reliable control, enabling them to create internal AI assistants that can handle requests like data cleaning, email drafting, and document summarization with minimal code. The session covers Mastra installation, running a local MCP server, defining tools and agents in TypeScript, using the Mastra playground, and implementing practical examples such as RAG setups and tool-chaining agents—all designed to equip attendees with the skills to develop scalable AI-driven internal tools based on sound software engineering principles rather than just experimental prompts.

  ------------------------------------

    Session ID: 933612
    Track: MCP
    Speaker: Antje Barth (Principal Developer Advocate)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 4 Jun 2025 04:05 PM
    Session Title: Building  Agents at Cloud-Scale
    Description:
    Let's explore  practical strategies for building and scaling agents in production. Discover  how to move from local MCP implementations to cloud-scale architectures and  how engineering teams leverage these patterns to develop sophisticated agent  systems. Expect a mix of demos, use case discussions, and a glimpse into the  future of agentic services!

  ------------------------------------

    Session ID: 947995
    Track: MCP
    Speaker: David Cramer (Founder, Sentry)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 7-8: MCP
    Time: 4 Jun 2025 12:15 PM
    Session Title: MCP isn’t good, yet.
    Description:
    You’ve heard a lot about MCP, probably been given an AI mandate or two, and are trying to figure out what’s real and what’s make believe.
    
    This session will give practical advice for how you should be thinking about MCP, the implementation pit falls, and where the speaker thinks things are going.

  ------------------------------------

    Session ID: 947165
    Track: MCP
    Speaker: Theodora Chu (Product Manager for MCP @ Anthropic)
    Format: Keynote
    Room: Yerba Buena Ballroom Salons 7-8: MCP
    Time: 4 Jun 2025 11:15 AM
    Session Title: MCP Origins & RFS
    Description:
    Learn more about the latest updates on MCP and get ideas for what startups to build.

  ------------------------------------

    Session ID: 911925
    Track: MCP
    Speaker: Samuel Colvin (Founder of Pydantic)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 7-8: MCP
    Time: 4 Jun 2025 02:00 PM
    Session Title: MCP is all you need
    Description:
    Everyone is talking about agents, and right after that, they’re talking about agent-to-agent communications. Not surprisingly, various nascent, competing protocols are popping up to handle it.
    
    But maybe all we need is MCP — the OG of GenAI communication protocols (it's from way back in 2024!).
    
    Last year, Jason Liu gave the second most watched AIE talk — “Pydantic is all you need”.
    
    This year, I (the creator of Pydantic) am continuing the tradition by arguing that MCP might be all we need for agent-to-agent communications.
    
    What I’ll cover:
    
    - Misusing Common Patterns: MCP was designed for desktop/IDE applications like Claude Code and Cursor. How can we adapt MCP for autonomous agents?
    - Many Common Problems: MCP is great, but what can go wrong? How can you work around it? Can the protocol be extended to solve these issues?
    - Monitoring Complex Phenomena: How does observability work (and not work) with MCP?
    - Multiple Competing Protocols: A quick run-through of other agent communication protocols like A2A and AGNTCY, and probably a few more by June 😴
    - Massive Crustaceans Party: What might success look like if everything goes to plan?

  ------------------------------------

    Session ID: 914489
    Track: MCP
    Speaker: Harald Kirschner (VS Code Team Member)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 7-8: MCP
    Time: 4 Jun 2025 11:55 AM
    Session Title: Full Spectrum MCP: Uncovering Hidden Servers and Clients Capabilities
    Description:
    The true power of Model Context Protocol emerges when clients and servers collaborate across the full spectrum of the specification. This talk presents practical examples of how VS Code's comprehensive implementation of MCP transforms the capabilities of AI assistants, making them more contextual, efficient, and user-friendly. We'll showcase advanced features like dynamic tool discovery and workspace-aware roots, demonstrating how they create experiences impossible with standard tools integrations while confronting the reality gap between MCP's theoretical potential and practical implementation challenges.

  ------------------------------------

    Session ID: 916149
    Track: MCP
    Speaker: Henry Mao (Founder @ Smithery.ai)
    Format: Online Talk
    Session Title: Are MCPs Overhyped? A Rant about MCPs
    Description:
    AI agents are becoming smarter but lack the broad capability to take action in practice. At Smithery, we believe the missing link is an AI orchestration layer—a unified interface that gives agents context, action, and a way to learn from real interactions. This talk explores the problem space in the Model Context Protocol (MCP) ecosystem and how we're tackling it at Smithery.

  ------------------------------------

    Session ID: 933626
    Track: MCP
    Speaker: Philipp Krenn (Code and conference monkey)
    Room: Salons 9-15: Expo Hall
    Time: 5 Jun 2025 01:00 PM
    Session Title: Hope is Not a Strategy: Retrieval Patterns for MCP
    Description:
    MCP is a solid integration layer — but how does it hold up when it comes to output quality? Often, not as well as you'd like. Here are some practical retrieval patterns, from basic to advanced, that worked well in my experiments:
    * Naive: Just plug in plain MCP and hope the LLM gets it right. Sometimes it does. Sometimes you’ll need a miracle.
    * Semantic: Add more descriptive field names and extra metadata. It helps — but usually just a bit.
    * Templated: Use a structured template and have the LLM fill it out step by step. More effort, but by far the most reliable results.

  ------------------------------------

    Session ID: 935982
    Track: MCP
    Speaker: Kent C. Dodds (Software Engineer Educator)
    Format: Online Talk
    Session Title: Letting AI Interface with Your App with MCP
    Description:
    We are entering a new era of user interaction. It's being built right before our very eyes and changing rapidly. As crazy as it sounds, soon each one of us will get our own Jarvis capable of performing actually useful tasks for us with a completely different user interaction mechanism than we're used to.
    
    But someone's gotta give Jarvis the tools to perform these tasks, and that's where we come in.
    
    In this talk, Kent will demonstrate an MCP server with an AI assistant to help us catch the vision of what this future could look like and our role in it.

  ------------------------------------

    Session ID: 915013
    Track: MCP
    Speaker: Alex Volkov (AI Evangelist)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 7-8: MCP
    Time: 4 Jun 2025 02:20 PM
    Session Title: Observable tools - the state of MCP observability
    Description:
    AI Engineers deserve observable tools!
    
    MCP getting adoption means that less and less of your agents code is running under your control, and this has DX and observability challenges, let's fix that!
    
    Join Alex Volkov from Weights & Biases and Steve Manual from mcp.run on this recap of the current state of MCP observability, including the observable.tools initiative, a recap of where the field stands and what to look forward to + a practical example of MCP tool usage evaluation framework from mcp.run!

  ------------------------------------

    Session ID: 926313
    Track: MCP
    Speaker: Jan Curn (CEO)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 7-8: MCP
    Time: 4 Jun 2025 02:40 PM
    Session Title: The rise of the agentic economy on the shoulders of MCP
    Description:
    Thanks to MCP and all the MCP server directories, agents can now autonomously discover new tools and other agents. This lays down the foundation for the future agentic economy, where businesses will sell to autonomous agents (B2A) and eventually agents will sell to other agents (A2A).
    
    But one key part is still missing: agents do not have a standard way to subscribe to external services and pay for them.
    
    In this talk, we’ll show how to give agents full autonomy to discover and pay for new external MCP-enabled services, even if those services don’t support it, using a little-known MCP server nesting capability. We’ll also cover how to monetize AI agents and the B2A/A2A business models.
    

  ------------------------------------

    Session ID: 933686
    Track: MCP
    Speaker: Michael Grinich (Founder & CEO, WorkOS )
    Format: Talk
    Room: SOMA: AI Architects
    Time: 5 Jun 2025 02:00 PM
    Session Title: CIAM for AI: Who Are Your Agents and What Can They Do?
    Description:
    AI agents are changing the way modern SaaS products operate. Whether automating workflows, integrating with APIs, or acting on behalf of users, AI-driven assistants and autonomous systems are becoming core product features. But securing these agents presents a fundamental challenge: How do you authenticate AI agents? How do you control what they can access? How do you ensure they act within the right permissions? This talk will explore these concepts and more while highlighting current research and best practices.

  ------------------------------------

    Session ID: 933610
    Track: MCP
    Speaker: Mike Chambers (AI/ML Specialist DA AWS)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 5 Jun 2025 12:15 PM
    Session Title: Ship it! Building Production-Ready Agents
    Description:
    Explore the practical challenges and solutions for deploying AI agents in real-world production environments. Through detailed technical analysis and practical examples, we'll examine strategies for building and orchestrating agent systems at scale. We'll cover critical infrastructure decisions, scalability frameworks, and best practices for creating robust, production-ready agent architectures.

  ------------------------------------

    Session ID: 936816
    Track: MCP
    Speaker: Den Delimarsky (DEVDIV) (Principal Product Engineer)
    Format: Talk
    Room: Nobhill C&D: Microsoft
    Time: 5 Jun 2025 12:45 PM
    Session Title: Building Protected MCP Servers
    Description:
    Join us to see how VS Code and GitHub Copilot's expanding suite of AI features can match or even surpasses the benefits of other popular AI developer tools.  We'll focus on practical scenarios to ensure immediate applicability and work through live demos of Copilot features such as: Code generation using Edits, Planning/problem solving using Chat, Inline terminal command generation, Boilerplate code generation using Agent mode, Improving boilerplate with custom instructions and then refactoring using Agent mode and Edits, Improving test generation and code reviews with custom instructions, as well as an Introduction to MCP.
    

  ------------------------------------

    Session ID: 915013
    Track: MCP
    Speaker: Benjamin Eckel (Co-Founder of Dylibso)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 7-8: MCP
    Time: 4 Jun 2025 02:20 PM
    Session Title: Observable tools - the state of MCP observability
    Description:
    AI Engineers deserve observable tools!
    
    MCP getting adoption means that less and less of your agents code is running under your control, and this has DX and observability challenges, let's fix that!
    
    Join Alex Volkov from Weights & Biases and Steve Manual from mcp.run on this recap of the current state of MCP observability, including the observable.tools initiative, a recap of where the field stands and what to look forward to + a practical example of MCP tool usage evaluation framework from mcp.run!

  ------------------------------------

    Session ID: 933607
    Track: MCP
    Speaker: Duan Lightfoot (AWS, Sr. Cloud Networking Developer Advocate)
    Format: Workshop
    Room: Golden Gate Ballroom A: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: Building Agents with Amazon Nova Act and MCP
    Description:
    In this 2-hour workshop, participants will gain practical hands-on experience building sophisticated AI agents using Amazon's agent technologies. You'll learn to build agents that can navigate the web like humans, perform complex multi-step tasks, and leverage specialized tools through natural language commands. You’ll explore Amazon Nova Act for reliable web navigation, Model Context Protocol (MCP) for connecting agents to external data sources and APIs, and Amazon Bedrock Agents for orchestrating complex workflows. Through guided exercises, you'll create agents capable of retrieving information and taking action across web applications, all through natural language interactions. By the end of this workshop, you'll have the practical skills to build AI agents that can browse websites, interact with web interfaces, and solve multi-step problems by combining these powerful Amazon technologies.

  ------------------------------------

    Session ID: 915013
    Track: MCP
    Speaker: Steve Manuel (CEO)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 7-8: MCP
    Time: 4 Jun 2025 02:20 PM
    Session Title: Observable tools - the state of MCP observability
    Description:
    AI Engineers deserve observable tools!
    
    MCP getting adoption means that less and less of your agents code is running under your control, and this has DX and observability challenges, let's fix that!
    
    Join Alex Volkov from Weights & Biases and Steve Manual from mcp.run on this recap of the current state of MCP observability, including the observable.tools initiative, a recap of where the field stands and what to look forward to + a practical example of MCP tool usage evaluation framework from mcp.run!

  ------------------------------------

    Session ID: 942943
    Track: MCP
    Speaker: John Welsh (Member of technical staff, Anthropic)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 7-8: MCP
    Time: 4 Jun 2025 11:35 AM
    Session Title: What we learned from shipping remote MCP support at Anthropic
    Description:
    We recently released remote MCP support for both claude.ai and the Anthropic API. This talk will cover architectural decisions we made in our implementation, remote MCP authentication, supporting engineers who are building out agentic AI tools, implementing custom internal transports, and whatever else we can fit into 18 minutes of your time.

  ------------------------------------

    Session ID: 933688
    Track: MCP
    Speaker: Nick Nisi (Software developer and panelist on the JS Party podcast)
    Format: Workshop
    Room: Salons 2-6: Workshops
    Time: 3 Jun 2025 03:30 PM
    Session Title: AI Pipelines and Agents in Pure TypeScript with Mastra.ai
    Description:
    This hands-on workshop introduces Mastra.ai, a TypeScript framework that streamlines the development of agentic AI systems compared to traditional approaches using LangChain and vector databases. Participants will learn to build structured AI workflows with composable tools and reliable control, enabling them to create internal AI assistants that can handle requests like data cleaning, email drafting, and document summarization with minimal code. The session covers Mastra installation, running a local MCP server, defining tools and agents in TypeScript, using the Mastra playground, and implementing practical examples such as RAG setups and tool-chaining agents—all designed to equip attendees with the skills to develop scalable AI-driven internal tools based on sound software engineering principles rather than just experimental prompts.

  ------------------------------------

    Session ID: 933656
    Track: MCP
    Speaker: Nick Nisi (Software developer and panelist on the JS Party podcast)
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 12:45 PM
    Session Title: Agents, Access, and the Future of Machine Identity
    Description:
    AI agents are calling APIs, submitting forms, and sending emails—but how do you control what they’re allowed to do? As agents act on behalf of users or organizations, traditional patterns like OAuth, session tokens, and role-based access often fall short.
    In this talk, we’ll explore how machine identity is evolving to meet this new landscape. You’ll learn:
    
    - How to think about authentication for agents (not just humans)
    - What it means to authorize an action when the actor is an LLM or headless service
    - Real-world strategies from WorkOS and Cloudflare for assigning, managing, and revoking agent identity and access
    
    By the end, you’ll walk away with practical tools and mental models to build agent-powered systems that are secure, auditable, and scalable.

  ------------------------------------

    Session ID: 933709
    Track: MCP
    Speaker: Tobin  South (Secure AI Agents & MCP, WorkOS)
    Room: Willow: Expo Sessions
    Time: 4 Jun 2025 10:55 AM
    Session Title: What does Enterprise Ready MCP mean?
    Description:
    Everyone is building MCP servers: from Slack integrations to personal data tools. They're good demos, but not ready to turn into production. So, what does it take to make MCP *enterprise-ready?*
    
    We're going to cover the end-to-end process of getting a hacky MCP server authenticated, permissioned, and secure. We'll talk about registries, SSO, audit logs, agent identifiers, autonomy for agents, and oversight. Oh and we'll use MCP to buy some stuff.
    
    Come learn the stack needed to scale your MCP to the enterprise and some fun hacks along the way.



======================================================================
---  Track: REASONING+RL (TBA) ---
======================================================================

    Session ID: 947233
    Track: Reasoning+RL
    Speaker: Jack Rae (Principal Research Scientist)
    Format: Keynote
    Session Title: (tbc) Gemini Thinking and the Future of Reasoning
    Description:
    Jack Rae, Principal Research Scientist at Google DeepMind, will keynote on Gemini Thinking and the future of reasoning in AI: advances, challenges, and what’s next for reasoning capabilities in next-gen foundation models.

  ------------------------------------

    Session ID: 916189
    Track: Reasoning+RL
    Speaker: Jesse Han (Founder)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 10:10 AM
    Session Title: The infrastructure for the singularity
    Description:
    We're at an inflection point where AI agents are transitioning from experimental tools to practical coworkers. This new world will demand new infrastructure for RL training, test-time scaling, and deployment. This is why Morph Labs developed Infinibranch last year, and we are excited to finally unveil what's next.

  ------------------------------------

    Session ID: 929509
    Track: Reasoning+RL
    Speaker: Daniel Han (CEO)
    Format: Workshop
    Room: Foothill C: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: Advanced: Reinforcement Learning, Kernels, Reasoning, Quantization & Agents
    Description:
    Why is Reinforcement Learning (RL) suddenly everywhere, and is it truly effective? Have LLMs hit a plateau in terms of intelligence and capabilities, or is RL the breakthrough they need?
    
    In this workshop, we'll dive into the fundamentals of RL, what makes a good reward function, and how RL can help create agents.
    
    We'll also talk about kernels, are they still worth your time and what you should focus on. And finally, we’ll explore how LLMs like DeepSeek-R1 can be quantized down to 1.58-bits and still perform well, along with techniques to maintain accuracy.

  ------------------------------------

    Session ID: 935461
    Track: Reasoning+RL
    Speaker: Logan Kilpatrick (Product, Google Deepmind)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 09:05 AM
    Session Title: A year of Gemini progress + what comes next
    Description:
    Over the last year, Google and Gemini models have shown rapid progress across all dimensions (model, product, etc). Let's highlight all the work that has happened, how we got the worlds best models, and where we are going next (across both the model landscape and out AI products).

  ------------------------------------

    Session ID: 939640
    Track: Reasoning+RL
    Speaker: Christian Szegedy (Former co-founder of xAI, discoverer of adversarial examples)
    Format: Talk
    Room: Yerba Buena Ballroom 2-6: Reasoning + RL
    Time: 5 Jun 2025 02:40 PM
    Session Title: Towards Verified Superintelligence
    Description:
    I describe a new paradigm towards open-endedly self-improving intelligence by scaling verification to remove the human data and supervision bottleneck. The objective is to achieve trustless alignment of superintelligence.

  ------------------------------------

    Session ID: 914856
    Track: Reasoning+RL
    Speaker: Will Brown (Research Engineering Lead)
    Format: Talk
    Room: Yerba Buena Ballroom 2-6: Reasoning + RL
    Time: 5 Jun 2025 11:15 AM
    Session Title: Training Agentic Reasoners
    Description:
    This talk will be a technical deep dive into RL for agentic reasoning via multi-turn tool calling, similar to OpenAI's o3 and Deep Research. In particular, we'll cover:
    - When, why, and how
    - GRPO vs PPO vs etc
    - Designing environments and rewards
    - Survey of recent research highlights
    - Results on example tasks
    - Overview of open-source ecosystem (libraries, compute requirements, tradeoffs, etc.)

  ------------------------------------

    Session ID: 916074
    Track: Reasoning+RL
    Speaker: Ryan Marten (Founding Engineer at Bespoke Labs)
    Format: Online Talk
    Room: Yerba Buena Ballroom 2-6: Reasoning + RL
    Time: 5 Jun 2025 12:15 PM
    Session Title: OpenThinker - Unreasonably Effective Reasoning Distillation at Scale
    Description:
    Peel back the curtain on state of the art model post-training through the story of OpenThinker, a SOTA small reasoning model (outperforming DeepSeek distill), built in the open. Learn about the dataset recipe used to build the strongest reasoning models which you can apply to your own domain-specific specialized reasoning models. Hear about the strategies that scale (and that don't) based on our rigorous experimentation on the journey from thousands of data points (Bespoke-Stratos) to millions of data (OpenThinker3). Build upon our open source engineering solutions for large-scale synthetic data generation, training on multiple supercomputing clusters, and building out fast reliable evaluations.

  ------------------------------------

    Session ID: 930540
    Track: Reasoning+RL
    Speaker: Ilan Bigio (Developer Experience)
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: Model-Maxxing: RFT, DPO, SFT (Fine-tuning with OpenAI)
    Description:
    Covering all forms of fine-tuning and prompt engineering, like SFT, DPO, RFT, prompt engineering / optimization, and agent scaffolding.

  ------------------------------------

    Session ID: 914533
    Track: Reasoning+RL
    Speaker: Kyle Corbitt (CEO )
    Format: Talk
    Room: Yerba Buena Ballroom 2-6: Reasoning + RL
    Time: 5 Jun 2025 02:00 PM
    Session Title: How to Train Your Agent: Building Reliable Agents with RL
    Description:
    Have you ever launched an awesome agentic demo, only to realize no amount of prompting will make it reliable enough to deploy in production? Agent reliability is a famously difficult problem to solve!
    
    In this talk we’ll learn how to use GRPO to help your agent learn from its successes and failures and improve over time. We’ve seen dramatic results with this technique, such as an email assistant agent that whose success rate jumped from 74% to 94% after replacing o4-mini with an open source model optimized using GRPO.
    
    We’ll share case studies as well as practical lessons learned around the types of problems this works well for and the unexpected pitfalls to avoid.

  ------------------------------------

    Session ID: 914786
    Track: Reasoning+RL
    Speaker: Greg Kamradt (President)
    Format: Talk
    Room: Yerba Buena Ballroom 2-6: Reasoning + RL
    Time: 5 Jun 2025 11:35 AM
    Session Title: Measuring AGI: Interactive Reasoning Benchmarks
    Description:
    ARC Prize Foundation is building the North Star for AGI—rigorous, open benchmarks that track reasoning progress in modern AI. We'll show why static AGI evaluations are useful, but fall short when comparing models to human intelligence. Sneak peak preview of ARC-AGI-3: a dynamic, game-like benchmark launching Q1 '26.

  ------------------------------------

    Session ID: 926721
    Track: Reasoning+RL
    Speaker: Nathan Lambert (Research Lead)
    Format: Talk
    Room: Yerba Buena Ballroom 2-6: Reasoning + RL
    Time: 5 Jun 2025 02:20 PM
    Session Title: A taxonomy for next-generation  reasoning models
    Description:
    Current AI models are extremely skilled, which was seen as the step change in evaluation scores across the industry in the first half of 2025, but often fail when presented with even medium time-horizon tasks. This talk presents a taxonomy of 4 traits of reasoning models -- skills, calibration, strategy, and abstraction -- that will be crucial to creating the next generation of AI applications.  With this, we focus on the latter two, strategy and abstraction, and discuss how these traits will enable long-horizon and reliable agents. The talk concludes with a scenario where these agentic behaviors are the foundation for RL continuing to scale in the coming years and post-training techniques reaching compute parity with pretraining methors sooner than later.

  ------------------------------------

    Session ID: 939091
    Track: Reasoning+RL
    Speaker: Junyang Lin (Alibaba Qwen)
    Format: Online Talk
    Session Title: Qwen: Towards a Generalist Model / Agent
    Description:
    Since Alibaba launched the Qwen series of large models in 2023, the Qwen series of large language models and multimodal large models have been continuously updated and improved. This presentation will introduce the latest developments in the Qwen series of models, including the large language model Qwen3, vision-language large model Qwen2.5-VL, omni model Qwen2.5-Omni, etc. Additionally, this presentation will also cover the future development directions of the Qwen series.



======================================================================
---  Track: RECSYS (TBA) ---
======================================================================

    Session ID: 906567
    Track: RecSys
    Speaker: Devansh Tandon (Principal Product Manager )
    Format: Talk
    Room: Golden Gate Ballroom A: LLM RecSys
    Time: 4 Jun 2025 02:40 PM
    Session Title: Teaching Gemini to Speak YouTube: Adapting LLMs for Video Recommendations to 2B+ DAU
    Description:
    YouTube recommendations drive the majority of video watch time for billions of daily users. Traditionally powered by large embedding models (LEMs), we're undertaking a fundamental shift: rebuilding our recommendation stack using foundation models like Gemini. This talk dives into our engineering journey adapting general-purpose LLMs (Gemini) for the highly specialized, dynamic, and massive-scale task of YouTube recommendations.
    
    We'll start with a critical first step: creating a "language" for YouTube videos. Learn how we developed 'SemanticID', a novel tokenization scheme that distills multimodal video features (text, audio, frames) into discrete tokens representable by an LLM. Our paper (Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations) is a landmark work in this space.
    
    We then adapt the base Gemini checkpoint to understand sequences of these video tokens alongside natural language, effectively teaching it the grammar of user watch behavior. A key insight: unlike static LLM training, YouTube's corpus evolves so rapidly (millions of new videos daily) that daily retraining is non-negotiable to maintain recommendation quality.
    
    Now we can prompt LRM with user history and context to generate personalized candidate recommendations.
    
    There’s a lot of attention on the LLM-led transformation of Search (with AI Overviews, Perplexity, ChatGPT-Search etc). However, across large consumer apps, it’s the recommendation systems & feeds that drive most consumer engagement, not just search. This talk is about the LLM-led transformation of recommendations & feeds – building a recommendation engine on top of Gemini.
    

  ------------------------------------

    Session ID: 929231
    Track: RecSys
    Speaker: Tejaswi Tenneti (Director of Machine Learning)
    Format: Talk
    Room: Golden Gate Ballroom A: LLM RecSys
    Time: 4 Jun 2025 02:20 PM
    Session Title: Instacart’s LLM-driven approach to Search and Discovery
    Description: Not Available

  ------------------------------------

    Session ID: 932583
    Track: RecSys
    Speaker: Yesu Feng (Netflix, Staff Research Scientist)
    Format: Talk
    Room: Golden Gate Ballroom A: LLM RecSys
    Time: 4 Jun 2025 02:00 PM
    Session Title: One model to rule recommendations: Netflix's Big Bet
    Description:
    Discuss the foundation model strategy for personalization at Netflix based on this post https://netflixtechblog.com/foundation-model-for-personalized-recommendation-1a0bd8e02d39 and recent developments.

  ------------------------------------

    Session ID: 932498
    Track: RecSys
    Speaker: Mukuntha Narayanan (Machine Learning Engineer)
    Format: Talk
    Room: Golden Gate Ballroom A: LLM RecSys
    Time: 4 Jun 2025 11:35 AM
    Session Title: What We Learned from Using LLMs in Pinterest Search
    Description:
    Pinterest Search integrates Large Language Models (LLMs) to enhance relevance scoring by combining search queries with rich multimodal content, including visual captions, link-based text, and user curation signals. A semi-supervised learning framework enables scaling to large and multilingual datasets, going beyond English and limited human labels. These LLM-driven models are distilled into efficient architectures for real-time serving, with experimental validation and large-scale deployment demonstrating substantial improvements in search relevance for Pinterest users worldwide.

  ------------------------------------

    Session ID: 936205
    Track: RecSys
    Speaker: Maziar Sanjabi (LinkedIn AI, Principal Scientist)
    Format: Talk
    Room: Golden Gate Ballroom A: LLM RecSys
    Time: 4 Jun 2025 11:55 AM
    Session Title: 360Brew LLM-based Foundation Model for Personalized Ranking and Recommendation
    Description:
    We will give a talk about our journey of building a foundation model for solving ranking and recommendation tasks across LinkedIn platform

  ------------------------------------

    Session ID: 936205
    Track: RecSys
    Speaker: Hamed Firooz (Principal Scientist -- LinkedIn Core AI)
    Format: Talk
    Room: Golden Gate Ballroom A: LLM RecSys
    Time: 4 Jun 2025 11:55 AM
    Session Title: 360Brew LLM-based Foundation Model for Personalized Ranking and Recommendation
    Description:
    We will give a talk about our journey of building a foundation model for solving ranking and recommendation tasks across LinkedIn platform

  ------------------------------------

    Session ID: 929337
    Track: RecSys
    Speaker: Eugene Yan (Principal Applied Scientist)
    Format: Talk
    Room: Golden Gate Ballroom A: LLM RecSys
    Time: 4 Jun 2025 11:15 AM
    Session Title: Recsys Keynote: Improving Recommendation Systems & Search in the Age of LLMs
    Description:
    Recommendation systems and search have long adopted advances in language modeling, from early adoption of Word2vec for embedding-based retrieval to the transformative impact of GRUs, Transformers, and BERT on predicting user interactions. Now, the rise of large language models (LLMs) is inspiring innovations in model architecture, scalable system designs, and richer customer experiences.
    
    In this keynote, we'll dive into cutting-edge industry applications of LLMs in recommendation and search systems, exploring real-world implementations and measurable outcomes. Join us for an look at current trends and an exciting vision of how LLM-driven techniques will shape the future of content discovery and intelligent search.

  ------------------------------------

    Session ID: 929231
    Track: RecSys
    Speaker: Vinesh Gudla (Staff Machine Learning Engineer, Instacart)
    Format: Talk
    Room: Golden Gate Ballroom A: LLM RecSys
    Time: 4 Jun 2025 02:20 PM
    Session Title: Instacart’s LLM-driven approach to Search and Discovery
    Description: Not Available

  ------------------------------------

    Session ID: 932498
    Track: RecSys
    Speaker: Han Wang (Machine Learning Engineer)
    Format: Talk
    Room: Golden Gate Ballroom A: LLM RecSys
    Time: 4 Jun 2025 11:35 AM
    Session Title: What We Learned from Using LLMs in Pinterest Search
    Description:
    Pinterest Search integrates Large Language Models (LLMs) to enhance relevance scoring by combining search queries with rich multimodal content, including visual captions, link-based text, and user curation signals. A semi-supervised learning framework enables scaling to large and multilingual datasets, going beyond English and limited human labels. These LLM-driven models are distilled into efficient architectures for real-time serving, with experimental validation and large-scale deployment demonstrating substantial improvements in search relevance for Pinterest users worldwide.



======================================================================
---  Track: RETRIEVAL+SEARCH (TBA) ---
======================================================================

    Session ID: 913839
    Track: Retrieval+Search
    Speaker: Julia Neagu (CEO)
    Format: Talk
    Room: Golden Gate Ballroom A: Retrieval + Search
    Time: 5 Jun 2025 11:55 AM
    Session Title: Evaluating AI Search: A Practical Framework for Augmented AI Systems
    Description:
    AI search is becoming the front door to information, whether through Retrieval-Augmented Generation (RAG), Search-Augmented Generation (SAG), or custom agents that synthesize answers on top of indexed content. As users rely more heavily on these systems, evaluating their quality becomes mission-critical. But traditional metrics like precision and recall don’t capture the full picture.
    
    In this talk, we introduce a practical evaluation framework for AI-powered search, across three dimensions:
    - Are the retrieved sources relevant to the query?
    - And is the final answer complete?
    - Are the sources faithfully used in the generated answer?
    
    We’ll share lessons from working with search companies and present early findings from a new benchmark evaluating popular augmented AI systems across these dimensions. Rather than ranking winners and losers, we explore where different systems excel or break down, and how these tradeoffs inform product decisions.
    
    This talk is for AI engineers and product teams who want to build trusted, high-quality AI search experiences, and need a way to measure if it’s actually working.

  ------------------------------------

    Session ID: 903966
    Track: Retrieval+Search
    Speaker: Chang She (CEO)
    Format: Talk
    Room: Golden Gate Ballroom A: Retrieval + Search
    Time: 5 Jun 2025 11:35 AM
    Session Title: Scaling Enterprise-Grade RAG Systems: Lessons from the Legal Frontier
    Description:
    In domains like law, compliance, and tax, building enterprise-grade RAG means very large scale, spikey workloads, a focus on accuracy, and non-negotiable privacy.
    In this talk, we'll share war stories and battle scars of how Harvey has built the world's most advanced AI agents for the legal profession on top of a highly optimized retrieval architecture. We'll cover how to get better retrieval via both sparse and dense retrieval methods, why domain-specific reranking is essential, and how to handle ambiguity in real-world queries.
    We'll also touch on how LanceDB's search engine enables this architecture by delivering low-latency, high-throughput retrieval across millions of documents of varying sizes without compromising privacy. This solid foundation enables Harvey to build a product that brings highly accurate answers to hundreds of law firms and professional services firms across 45 countries.

  ------------------------------------

    Session ID: 913839
    Track: Retrieval+Search
    Speaker: Deanna Emery (Founding AI Researcher)
    Format: Talk
    Room: Golden Gate Ballroom A: Retrieval + Search
    Time: 5 Jun 2025 11:55 AM
    Session Title: Evaluating AI Search: A Practical Framework for Augmented AI Systems
    Description:
    AI search is becoming the front door to information, whether through Retrieval-Augmented Generation (RAG), Search-Augmented Generation (SAG), or custom agents that synthesize answers on top of indexed content. As users rely more heavily on these systems, evaluating their quality becomes mission-critical. But traditional metrics like precision and recall don’t capture the full picture.
    
    In this talk, we introduce a practical evaluation framework for AI-powered search, across three dimensions:
    - Are the retrieved sources relevant to the query?
    - And is the final answer complete?
    - Are the sources faithfully used in the generated answer?
    
    We’ll share lessons from working with search companies and present early findings from a new benchmark evaluating popular augmented AI systems across these dimensions. Rather than ranking winners and losers, we explore where different systems excel or break down, and how these tradeoffs inform product decisions.
    
    This talk is for AI engineers and product teams who want to build trusted, high-quality AI search experiences, and need a way to measure if it’s actually working.

  ------------------------------------

    Session ID: 933721
    Track: Retrieval+Search
    Speaker: Suman Debnath (Principal Developer Advocate, AI/ML, AWS)
    Format: Workshop
    Room: Foothill G1&2: Workshops
    Time: 3 Jun 2025 03:30 PM
    Session Title: VoiceVision RAG - Integrating Visual Document Intelligence with Voice Response
    Description:
    In this workshop we will explore the integration of Colpali, a cutting-edge Vision based Retrieval Model, with voice synthesis for next-generation RAG systems. We'll demonstrate how Colpali's ability to generate multi-vector embeddings directly from document images bypasses traditional OCR and complex preprocessing, while adding voice output creates a more intuitive and accessible user experience. Attendees will see how this combination handles documents with mixed textual and visual information, leading to more efficient and accurate information retrieval with natural voice responses.

  ------------------------------------

    Session ID: 933603
    Track: Retrieval+Search
    Speaker: Suman Debnath (Principal Developer Advocate, AI/ML, AWS)
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 10:45 AM
    Session Title: Introducing Strands Agents, an Open Source AI Agents SDK
    Description:
    Building AI agents used to require complex orchestration, extensive scaffolding, and months of tuning. With Strands Agents, an open source SDK from AWS. You can now build, test, and deploy intelligent agents in just a few lines of code. This session introduces the model-driven approach behind Strands, where a model, a prompt, and a set of tools are all you need to create powerful, production-ready agents. Learn how Strands leverages modern foundation models to handle reasoning, tool use, and reflection, reducing development time from months to days.

  ------------------------------------

    Session ID: 915338
    Track: Retrieval+Search
    Speaker: Chau Tran (AI engineer at Glean)
    Format: Talk
    Room: Foothill C: Agent Reliability
    Time: 4 Jun 2025 02:00 PM
    Session Title: How to build Enterprise-aware agents
    Description:
    While LLMs demonstrated impressive reasoning capabilities, their out-of-the-box reasoning is akin to hiring a brilliant but brand-new employee who doesn’t have the enterprise context of “how things are done at this company”. In this talk, I'll introduce “Workflow Search” as a paradigm to build enterprise-aware agents that can balance predictability on common tasks, and flexibility on unforeseen tasks.
    

  ------------------------------------

    Session ID: 933671
    Track: Retrieval+Search
    Speaker: Zach Blumenfeld (AI/ML Product Specialist)
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 12:45 PM
    Session Title: Agentic GraphRAG: Simplifying Retrieval Across Structured & Unstructured Data
    Description:
    Agentic workflows often become complex, brittle, and hard to maintain when they need to retrieve and reason across both structured data (typically requiring precise query execution) and unstructured data (commonly handled via vector search in RAG). In this talk, we’ll explore how mapping key information into a knowledge graph can simplify these workflows and improve retrieval quality. You’ll learn core concepts behind GraphRAG, how to integrate it into agent tools, and get access to end-to-end code examples so you can start building right away.

  ------------------------------------

    Session ID: 915338
    Track: Retrieval+Search
    Speaker: Chau Tran (Technical Lead Delete)
    Format: Talk
    Room: Foothill C: Agent Reliability
    Time: 4 Jun 2025 02:00 PM
    Session Title: How to build Enterprise-aware agents
    Description:
    While LLMs demonstrated impressive reasoning capabilities, their out-of-the-box reasoning is akin to hiring a brilliant but brand-new employee who doesn’t have the enterprise context of “how things are done at this company”. In this talk, I'll introduce “Workflow Search” as a paradigm to build enterprise-aware agents that can balance predictability on common tasks, and flexibility on unforeseen tasks.
    

  ------------------------------------

    Session ID: 914024
    Track: Retrieval+Search
    Speaker: Will Bryk (CEO & Co-founder, building perfect search at Exa)
    Format: Talk
    Room: Golden Gate Ballroom A: Retrieval + Search
    Time: 5 Jun 2025 02:20 PM
    Session Title: Building a Smarter AI Agent with Neural RAG
    Description:
    RAG quality for AI agents is critical, and traditional keyword-based search engines consistently underperform in agentic or multi-step tasks, where semantic grounding and contextual nuance matter most.
    
    In this talk, Will Bryk, CEO of Exa will live code two AI agent applications–one using traditional keyword search RAG and one using neural network RAG via vector search. He’ll then evaluate both applications based on task performance, relevance, and latency. With a live demo (no theory or pre-baked applications), the audience will get a firsthand look at the practical differences between keyword and semantic systems in production, and learn embedding strategies, indexing trade-offs, hybrid retrieval techniques, prompt tuning, and more.

  ------------------------------------

    Session ID: 903966
    Track: Retrieval+Search
    Speaker: Calvin Qi (Tech Lead Manager)
    Format: Talk
    Room: Golden Gate Ballroom A: Retrieval + Search
    Time: 5 Jun 2025 11:35 AM
    Session Title: Scaling Enterprise-Grade RAG Systems: Lessons from the Legal Frontier
    Description:
    In domains like law, compliance, and tax, building enterprise-grade RAG means very large scale, spikey workloads, a focus on accuracy, and non-negotiable privacy.
    In this talk, we'll share war stories and battle scars of how Harvey has built the world's most advanced AI agents for the legal profession on top of a highly optimized retrieval architecture. We'll cover how to get better retrieval via both sparse and dense retrieval methods, why domain-specific reranking is essential, and how to handle ambiguity in real-world queries.
    We'll also touch on how LanceDB's search engine enables this architecture by delivering low-latency, high-throughput retrieval across millions of documents of varying sizes without compromising privacy. This solid foundation enables Harvey to build a product that brings highly accurate answers to hundreds of law firms and professional services firms across 45 countries.

  ------------------------------------

    Session ID: 925259
    Track: Retrieval+Search
    Speaker: Jerry Liu (CEO)
    Format: Talk
    Room: Golden Gate Ballroom A: Retrieval + Search
    Time: 5 Jun 2025 11:15 AM
    Session Title: Building AI Agents that actually automate Knowledge Work
    Description:
    Agents are all the rage in 2025, and every single b2b SaaS startup/incumbent promises AI agents that can "automate work" in some way.
    
    But how do you actually build this? The answer is two fold:
    1. really really good tools
    2. carefully tailored agent reasoning over these tools that range from assistant-to-automation based UXs.
    
    The main goal of this talk is to a practical overview of agent architectures that can automate real-world work, with a focus on document-centric tasks. Learn the core building blocks of best-in-class "tools" around processing, manipulating, and indexing/retrieving PDFs to Excel spreadsheets. Also learn the range of agent architectures suited for different tasks, from chat assistant-based UXs with high human-in-the-loop, to automation UXs that rely on encoding a business process into an end-to-end task solver. These architectures have to be generalizable but also highly accurate as agents get increasingly better at reasoning and code-writing.

  ------------------------------------

    Session ID: 933605
    Track: Retrieval+Search
    Speaker: Mani Khanuja (Principal ML Services SA)
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 03:30 PM
    Session Title: Data is Your Differentiator: Building Secure and Tailored AI Systems
    Description:
    As  organizations seek to harness their proprietary data while maintaining  security and compliance, Amazon Bedrock provides a comprehensive framework  for building tailored AI applications. Using Amazon Bedrock Knowledge Bases  and Amazon Bedrock Data Automation, organizations can create AI solutions  that truly understand their unique business context, terminology, and  requirements. Combined with Amazon Bedrock Guardrails, these capabilities  enhance the accuracy and relevance of AI-generated responses, while ensuring  that sensitive information remains protected within the organization's  control - enabling businesses to build secure and compliant enterprise-grade  generative AI solutions that accelerate time to value.

  ------------------------------------

    Session ID: 916214
    Track: Retrieval+Search
    Speaker: Philipp Krenn (Code and conference monkey)
    Format: Workshop
    Room: Foothill G1&2: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: Information Retrieval from the Ground Up
    Description:
    Vector search is only a feature. Search engines and information retrieval have retaken their position as the foundation of RAG. This workshop takes you through decades of research, what has been working for a long time, and how it got better with Machine Learning.

  ------------------------------------

    Session ID: 933646
    Track: Retrieval+Search
    Speaker: Jesús Barrasa (AI Field CTO)
    Room: Juniper: Expo Sessions
    Time: 5 Jun 2025 10:45 AM
    Session Title: Why Your Agent’s Brain Needs a Playbook: Practical Wins from Using Ontologies
    Description:
    You're trying to guide how your agents think and act. Code-orchestrated workflows are too rigid, but LLMs charting their own course feel too chaotic. When you need a middle ground, it’s time to reach for the secret weapon: ontologies. These graph-shaped fragments of actionable knowledge can fill in critical gaps.
    
    In this talk, we’ll explore together how ontologies bring structure, semantics, and sanity to GenAI-powered applications. You’ll learn when they’re useful, how to apply them, and what kinds of problems they help solve. Through practical examples, we’ll show how ontologies (1) guide knowledge graph construction, (2) add a semantic layer for more efficient and accurate retrieval (GraphRAG), and (3) encode domain logic you don’t want to leave up to the LLM.

  ------------------------------------

    Session ID: 933706
    Track: Retrieval+Search
    Speaker: Thibaut  Gourdel (Senior Technical Product Marketing Manager, MongoDB)
    Room: Salons 9-15: Expo Hall
    Time: 4 Jun 2025 11:00 AM
    Session Title: GraphRAG: Integrating LLMs with Knowledge Graphs
    Description:
    While traditional RAG is effective, it can struggle with complex relationships and reasoning across large knowledge bases. GraphRAG, an advanced variant, addresses these challenges by leveraging knowledge graphs to enable deeper understanding and improved response accuracy. Learn how LLMs extract key entities and relationships from your data to construct a graph structure, and how the system uses graph traversal to find related entities and enrich prompts. Stay for a live demo showcasing these concepts in action.

  ------------------------------------

    Session ID: 933678
    Track: Retrieval+Search
    Speaker: Tengyu Ma (Chief AI Scientist, MongoDB)
    Format: Talk
    Room: Golden Gate Ballroom A: Retrieval + Search
    Time: 5 Jun 2025 12:15 PM
    Session Title: RAG in 2025: State of the Art and the Road Forward
    Description:
    The talk will have three parts
    1.Roadmap debate: RAG vs. finetuning vs. long-context
    2.RAG today: benefits, challenges, and current solutions
    3.RAG tomorrow: AI models do more work

  ------------------------------------

    Session ID: 907695
    Track: Retrieval+Search
    Speaker: David Karam (CEO)
    Format: Talk
    Room: Golden Gate Ballroom A: Retrieval + Search
    Time: 5 Jun 2025 02:40 PM
    Session Title: Layering every technique in RAG, one query at a time
    Description:
    Start with the simplest Search - in-memory embeddings with relevance ranking. End with the most complex planet-scale Search - 70+ corpus mix of token, embeddings, and knowledge graphs, all jointly retrieved, custom ranked, joint re-ranked, and then LLM-processed, at 160,000 queries per second in under 200msec.
    
    This talk will be a fun “one query at a time” survey of all techniques in RAG in incremental complexity, showing the limits of each technique and what the next layered one opens up in terms of capabilities to handle ever-more complex queries in RAG. You’ll learn why queries like [falafel] are notoriously hard to Search over, why chunking your documents can be disastrous, how you can sometimes can get away with a simple bm25, and how some Search problems are so hard to solve that you’re better off punting the problem to the LLM or the UX. Brought to you by the team that worked on 50+ Search products, in the context of Google.com and custom Enterprise Search.

  ------------------------------------

    Session ID: 933692
    Track: Retrieval+Search
    Speaker: Richmond Alake (Staff Developer Advocate, AI/ML at MongoDB)
    Room: Willow: Expo Sessions
    Time: 4 Jun 2025 10:40 AM
    Session Title: Architecting Agent Memory: Principles, Patterns, and Best Practices
    Description:
    In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Inspired by the complexity of human memory systems—such as episodic, working, semantic, and procedural memory—this talk unpacks how AI agents can achieve believability, reliability, and capability by retaining and reasoning over past experiences.
    We’ll begin by establishing a conceptual framework based on real-world implementations from memory management libraries and system architectures:
    Memory Components representing various structured memory types (e.g., conversation, workflow, episodic, persona)
    Memory Modes reflecting operational strategies for short-term, long-term, and dynamic memory handling
    Next, the talk transitions to practical implementation patterns critical for effective memory lifecycle management:
    Maintaining rich conversation history and contextual awareness
    Persistence strategies leveraging vector databases and hybrid search
    Memory augmentation using embeddings, relevance scoring, and semantic retrieval
    Production-ready practices for scaling memory in multi-agent ecosystems
    We’ll also examine advanced memory strategies within agentic systems:
    Memory cascading and selective deletion
    Integration of tool use and persona memory
    Optimizing performance around memory retrieval and LLM context window limits
    Whether you're developing autonomous agents, chatbots, or complex workflow orchestration systems, this talk offers knowledge and tactical insights for building AI that can remember, adapt, and improve over time.
    This session is ideal for:
    AI engineers and agent framework developers
    Architects designing Agentic RAG or multi-agent systems
    Practitioners building contextual, personalized AI experiences
    By the end of the session, you’ll understand how to leverage memory as a strategic asset in agentic design—and walk away ready to build agents that not only act and reason but also remember.

  ------------------------------------

    Session ID: 916215
    Track: Retrieval+Search
    Speaker: Satwik Singh (Member of Technical Staff )
    Format: Talk
    Room: Golden Gate Ballroom A: Retrieval + Search
    Time: 5 Jun 2025 02:00 PM
    Session Title: Building Alice’s Brain: How We Built an AI Sales Rep that Learns Like a Human
    Description:
    AI agents are becoming essential tools for teams of all sizes and industries - but training them to become experts in your product, business, and customerbase remains a challenge.
    
    What if onboarding a digital worker was as simple as uploading your pitch deck? At 11x, we built Alice, an AI SDR that writes outbound emails with the nuance and context of a top-performing human sales rep - because she learns like one too!
    
    In this talk, we'll share how we built a knowledge base that allows 11x customers to "train" Alice on their internal materials: PDFs, websites, call recordings, and more. We'll talk through the ingestion pipeline in detail, discuss storage/retrieval technologies and their tradeoffs, and explain how Alice uses the knowledge base to drive high-performance email outreach at scale.

  ------------------------------------

    Session ID: 936933
    Track: Retrieval+Search
    Speaker: Nina Lopatina (Lead Developer Advocate)
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: Forget RAG Pipelines—Build Production-Ready AI Agents in 15 Minutes
    Description:
    Want to take advantage of your data, but don't want to reinvent RAG infrastructure? Join our workshop and see how you can deploy Agentic RAG in minutes using Contextual AI's managed RAG solution. We'll explore how Contextual handles intelligent parsing and chunking of your data, retrieves information with state of the art accuracy, and generates responses with a multi layered set of guardrails against hallucinations. Together, we'll build an end-to-end Agentic RAG pipeline and demonstrate its integration with Claude Desktop via MCP, so you can see how this could plug into your existing ecosystem.
    
    By the end of this session, you'll have a functioning Agentic RAG prototype that you can easily customize and deploy to production for your specific use cases, even with complex, unstructured documents.

  ------------------------------------

    Session ID: 933689
    Track: Retrieval+Search
    Speaker: Frank Liu (Staff Product Manager, MongoDB)
    Room: Juniper: Expo Sessions
    Time: 5 Jun 2025 11:00 AM
    Session Title: The State of AI-Powered Search and Retrieval
    Description:
    In this talk, we examine the state-of-the-art in AI-powered search and retrieval. We detail techniques for enhancing performance beyond base embedding models, including hybrid search, reranking strategies, query decomposition and document enrichment, the use of domain-specific and fine-tuned embeddings, custom data processing pipelines (ETL), and contextualized chunking methods.

  ------------------------------------

    Session ID: 936933
    Track: Retrieval+Search
    Speaker: Rajiv Shah (Chief Evangelist)
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 09:00 AM
    Session Title: Forget RAG Pipelines—Build Production-Ready AI Agents in 15 Minutes
    Description:
    Want to take advantage of your data, but don't want to reinvent RAG infrastructure? Join our workshop and see how you can deploy Agentic RAG in minutes using Contextual AI's managed RAG solution. We'll explore how Contextual handles intelligent parsing and chunking of your data, retrieves information with state of the art accuracy, and generates responses with a multi layered set of guardrails against hallucinations. Together, we'll build an end-to-end Agentic RAG pipeline and demonstrate its integration with Claude Desktop via MCP, so you can see how this could plug into your existing ecosystem.
    
    By the end of this session, you'll have a functioning Agentic RAG prototype that you can easily customize and deploy to production for your specific use cases, even with complex, unstructured documents.

  ------------------------------------

    Session ID: 916143
    Track: Retrieval+Search
    Speaker: Mark Bain (Founder & Research Scientist)
    Format: Workshop
    Room: Golden Gate Ballroom B: GraphRAG
    Time: 4 Jun 2025 01:00 PM
    Session Title: Make Your AI Agents Remember What They Do!
    Description:
    Are you ready to give your AI agents a memory upgrade?
    Join us for a hands-on, fast-paced workshop where we explore how memory can transform your agents.
    
    What You'll Do:
    Set Up Leading Memory Solutions: Get practical, side-by-side experience with open-source tools including AIUS, Cognee, LangMem, MemGPT, Mem0, and Zep.
    
    Explore Memory Types: Learn the theory behind agent memory, including long-term, short-term, episodic, semantic, and other memory types.
    
    Run Experiments: Test how memory improves recall, contextual awareness, and reasoning in autonomous agents.
    
    Compare Implementations: Get a snapshot of how different solutions implement memory—what’s built-in, what’s flexible, and what’s experimental.
    
    Whether you’re working on AI copilots, agentic workflows, or research prototypes—this workshop will help you embed real memory into your AI stack.

  ------------------------------------

    Session ID: 916215
    Track: Retrieval+Search
    Speaker: Sherwood Callaway (Tech Lead, Alice )
    Format: Talk
    Room: Golden Gate Ballroom A: Retrieval + Search
    Time: 5 Jun 2025 02:00 PM
    Session Title: Building Alice’s Brain: How We Built an AI Sales Rep that Learns Like a Human
    Description:
    AI agents are becoming essential tools for teams of all sizes and industries - but training them to become experts in your product, business, and customerbase remains a challenge.
    
    What if onboarding a digital worker was as simple as uploading your pitch deck? At 11x, we built Alice, an AI SDR that writes outbound emails with the nuance and context of a top-performing human sales rep - because she learns like one too!
    
    In this talk, we'll share how we built a knowledge base that allows 11x customers to "train" Alice on their internal materials: PDFs, websites, call recordings, and more. We'll talk through the ingestion pipeline in detail, discuss storage/retrieval technologies and their tradeoffs, and explain how Alice uses the knowledge base to drive high-performance email outreach at scale.

  ------------------------------------

    Session ID: 933702
    Track: Retrieval+Search
    Speaker: Mikiko Bazeley (Staff Developer Advocate, MongoDB)
    Room: Salons 9-15: Expo Hall
    Time: 5 Jun 2025 01:15 PM
    Session Title: Smarter Together: Designing Multi-Agent Systems with Shared, Evolving Memory
    Description:
    In today’s most advanced AI systems, intelligence is no longer confined to a single model or agent—it emerges from coordination. But coordination requires memory: short-term, long-term, and shared. In this talk, we’ll break down how agent systems can store, retrieve, and evolve shared memory to become smarter over time. You'll learn what it takes to architect these continuously learning systems, how to track and improve memory quality, and why robust, flexible infrastructure is the foundation of it all. Stick around to see how this works in practice—live.

  ------------------------------------

    Session ID: 913839
    Track: Retrieval+Search
    Speaker: Maitar Asher (Head of Engineering)
    Format: Talk
    Room: Golden Gate Ballroom A: Retrieval + Search
    Time: 5 Jun 2025 11:55 AM
    Session Title: Evaluating AI Search: A Practical Framework for Augmented AI Systems
    Description:
    AI search is becoming the front door to information, whether through Retrieval-Augmented Generation (RAG), Search-Augmented Generation (SAG), or custom agents that synthesize answers on top of indexed content. As users rely more heavily on these systems, evaluating their quality becomes mission-critical. But traditional metrics like precision and recall don’t capture the full picture.
    
    In this talk, we introduce a practical evaluation framework for AI-powered search, across three dimensions:
    - Are the retrieved sources relevant to the query?
    - And is the final answer complete?
    - Are the sources faithfully used in the generated answer?
    
    We’ll share lessons from working with search companies and present early findings from a new benchmark evaluating popular augmented AI systems across these dimensions. Rather than ranking winners and losers, we explore where different systems excel or break down, and how these tradeoffs inform product decisions.
    
    This talk is for AI engineers and product teams who want to build trusted, high-quality AI search experiences, and need a way to measure if it’s actually working.



======================================================================
---  Track: SWE AGENTS (TBA) ---
======================================================================

    Session ID: 929855
    Track: SWE Agents
    Speaker: Scott Wu (CEO, Cognition AI)
    Format: Talk
    Room: Yerba Buena Ballroom 7&8: SWE Agents
    Time: 5 Jun 2025 11:15 AM
    Session Title: Devin 2.0 and the Future of SWE
    Description:
    A talk on the future of software engineering with Scott Wu of Cognition AI, the makers of Devin.

  ------------------------------------

    Session ID: 939640
    Track: SWE Agents
    Speaker: Christian Szegedy (Former co-founder of xAI, discoverer of adversarial examples)
    Format: Talk
    Room: Yerba Buena Ballroom 2-6: Reasoning + RL
    Time: 5 Jun 2025 02:40 PM
    Session Title: Towards Verified Superintelligence
    Description:
    I describe a new paradigm towards open-endedly self-improving intelligence by scaling verification to remove the human data and supervision bottleneck. The objective is to achieve trustless alignment of superintelligence.

  ------------------------------------

    Session ID: 939942
    Track: SWE Agents
    Speaker: Boris Cherny (Member of Technical Staff & Creator of Claude Code)
    Format: Talk
    Room: Yerba Buena Ballroom 7&8: SWE Agents
    Time: 5 Jun 2025 02:00 PM
    Session Title: Introducing Claude Code
    Description:
    Hear about Claude Code directly from its creator: origin story, getting your team set up, and practical tips for getting more out of Code.

  ------------------------------------

    Session ID: 914012
    Track: SWE Agents
    Speaker: Rustin Banks (Product Manager, AI Coding )
    Format: Talk
    Room: Yerba Buena Ballroom 7&8: SWE Agents
    Time: 5 Jun 2025 11:35 AM
    Session Title: Your Coding Agent Just Got Cloned And Your Brain Isn't Ready
    Description:
    Will the future engineer code alongside a single coding agent, or will they spend their day orchestrating many agents? Traditional development rewards synchronous focus. This session dives into the significant mindshift required to move from sequential coding to orchestrating parallel agents. We are the builders of "Jules", Google's massively parallel asynchronous coding agent (to be opened up in May). We'll share real-world insights from building Jules and explore how to rewire your brain for this powerful new "post-IDE" development paradigm.

  ------------------------------------

    Session ID: 915961
    Track: SWE Agents
    Speaker: Jeremy Adams (Head of Ecosystem)
    Format: Workshop
    Room: Nobhill A&B: Workshops
    Time: 3 Jun 2025 10:40 AM
    Session Title: Ship Agents that Ship: A Hands-On Workshop for SWE Agent Builders
    Description:
    Coding agents are transforming how software gets built, tested, and deployed, but engineering teams face a critical challenge: how to embrace this automation wave without sacrificing trust, control, or reliability.
    In this 80 minute workshop, you’ll go beyond toy demos and build production-minded AI agents using Dagger, the programmable delivery engine designed for real CI/CD and AI-native workflows. Whether you're debugging failures, triaging pull requests, generating tests, or shipping features, you'll learn how to orchestrate autonomous agents that live in and around your codebase: from your laptop to your CI platform.
    We’ll guide you through:
    
    Building real-world agents with Dagger and popular LLMs (GPT, Claude, etc.)
    
    Programming agent environments using real languages (Go, Python, TypeScript)
    
    Executing agent workflows locally and in GitHub Actions, so you can bring them to production
    
    Using a composable runtime that ensures isolation, determinism, traceability, and repeatability
    
    Designing agents that automate and enhance debugging, test generation, code review, bug fixing, and feature implementation
    
    
    By the end of the workshop, you’ll walk away ready to build your own army of autonomous agents, working collaboratively across your codebase, locally and in CI, accelerating development without ceding control. Let’s build agents that don’t just talk, they ship!

  ------------------------------------

    Session ID: 915312
    Track: SWE Agents
    Speaker: Raaz Dwivedi (Chief Scientist)
    Format: Talk
    Room: Foothill C: Agent Reliability
    Time: 4 Jun 2025 12:15 PM
    Session Title: Production software keeps breaking and it will only get worse.  Here’s how Traversal is fixing it.
    Description:
    Software is eating the world. AI is eating software. AI-powered SWE means a whole lot more software is going to be written that powers mission critical systems in the coming years, with hardly any of it written by humans. Hence, when these software systems inevitably break, it’s going to be next to impossible to troubleshoot them. Towards addressing this issue, we’ll do a product launch of Traversal’s AI, a significant step towards self-healing software systems. We will showcase how it is already used to autonomously troubleshoot production incidents in some of the most complex enterprise environments.

  ------------------------------------

    Session ID: 915961
    Track: SWE Agents
    Speaker: Kyle Penfound (Solutions Engineer at Dagger)
    Format: Workshop
    Room: Nobhill A&B: Workshops
    Time: 3 Jun 2025 10:40 AM
    Session Title: Ship Agents that Ship: A Hands-On Workshop for SWE Agent Builders
    Description:
    Coding agents are transforming how software gets built, tested, and deployed, but engineering teams face a critical challenge: how to embrace this automation wave without sacrificing trust, control, or reliability.
    In this 80 minute workshop, you’ll go beyond toy demos and build production-minded AI agents using Dagger, the programmable delivery engine designed for real CI/CD and AI-native workflows. Whether you're debugging failures, triaging pull requests, generating tests, or shipping features, you'll learn how to orchestrate autonomous agents that live in and around your codebase: from your laptop to your CI platform.
    We’ll guide you through:
    
    Building real-world agents with Dagger and popular LLMs (GPT, Claude, etc.)
    
    Programming agent environments using real languages (Go, Python, TypeScript)
    
    Executing agent workflows locally and in GitHub Actions, so you can bring them to production
    
    Using a composable runtime that ensures isolation, determinism, traceability, and repeatability
    
    Designing agents that automate and enhance debugging, test generation, code review, bug fixing, and feature implementation
    
    
    By the end of the workshop, you’ll walk away ready to build your own army of autonomous agents, working collaboratively across your codebase, locally and in CI, accelerating development without ceding control. Let’s build agents that don’t just talk, they ship!

  ------------------------------------

    Session ID: 936299
    Track: SWE Agents
    Speaker: Chris Kelly (All Things Developer @ Augment Code)
    Format: Talk
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 10:55 AM
    Session Title: Vibe Coding in Production
    Description:
    What's the role of vibe coding in a production-grade applications? Join Augment Code's Matt McClernan as he speaks to engineering leaders about building with AI.

  ------------------------------------

    Session ID: 914017
    Track: SWE Agents
    Speaker: Josh Albrecht (CTO and Co-founder)
    Format: Talk
    Room: Yerba Buena Ballroom 7&8: SWE Agents
    Time: 5 Jun 2025 02:40 PM
    Session Title: Beyond the Prototype: Using AI to Write High-Quality Code
    Description:
    In this case study-based keynote, Josh Albrecht, CTO of Imbue, examines the critical engineering challenges in building AI coding systems that create more than just prototypes. Drawing from Imbue's research developing Sculptor, an experimental coding agent environment, Josh shares key insights into the fundamental technical obstacles encountered when evolving AI-assisted coding from toy applications to more robust software systems.
    
    The session will explore approaches to core challenges like safely executing code, managing context across large codebases, automating test generation, and creating systems that can identify potential pitfalls in AI-generated code. Attendees will gain practical insights into the technical underpinnings of next-generation coding agents that aim to handle complex software engineering challenges architecting larger systems, increasing meaningful test coverage and designing systems that are easy to debug—moving us closer to AI systems that can help create maintainable software.
    

  ------------------------------------

    Session ID: 933560
    Track: SWE Agents
    Speaker: Forrest Brazeal (Speaker and Workshop Organizer)
    Format: Workshop
    Room: Foothill C: Workshops
    Time: 3 Jun 2025 03:30 PM
    Session Title: Navigating deep context in legacy code with Augment Agent
    Description:
    Attendees will learn to use an AI coding agent as a fast and intuitive part of navigating and working with complex, production-grade legacy code bases. We will drop directly into the code–written in assembly–that landed the1969 Apollo 11 astronauts on the moon and, through a series of challenges, locate parts of the code tied to key functionality. Using the agent to convert a key guidance computer algorithm into a more modern programming language, attendees will then compete to see whose code has what it takes to land on the moon.

  ------------------------------------

    Session ID: 936298
    Track: SWE Agents
    Speaker: Forrest Brazeal (Speaker and Workshop Organizer)
    Format: Talk
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 03:15 PM
    Session Title: To the moon! Navigating deep context in legacy code with Augment Agent
    Description:
    Shortened presentation-only version of our Apollo 11 workshop

  ------------------------------------

    Session ID: 904751
    Track: SWE Agents
    Speaker: Eno Reyes (CTO)
    Format: Talk
    Room: Yerba Buena Ballroom 7&8: SWE Agents
    Time: 5 Jun 2025 03:00 PM
    Session Title: Ship Production Software in Minutes, Not Months
    Description:
    Planning, coding, testing, monitoring—the endless cycle that spans 10+ tools that fragment our focus and slows delivery to a crawl. Vibe coding doesn't work when you've got 10TB of code. If you just sighed, you're one of many professional software engineers trapped in the traditional software development lifecycle (SDLC) that was designed before AI could parallelize your entire workflow.
    
    But what if you could orchestrate multiple AI agents on tasks beyond just generating code, while you focus on the creative decisions that matter?
    
    In this talk, I'll demonstrate how real enterprise organizations are changing their entire SDLC—going from understanding, planning, coding, and testing all the way to incident response—using AI agents. You'll witness the next evolution of software engineering—where AI doesn't just generate code, but orchestrates the entire development lifecycle.

  ------------------------------------

    Session ID: 936298
    Track: SWE Agents
    Speaker: Matt Ball (Empowering Developers with AI )
    Format: Talk
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 03:15 PM
    Session Title: To the moon! Navigating deep context in legacy code with Augment Agent
    Description:
    Shortened presentation-only version of our Apollo 11 workshop

  ------------------------------------

    Session ID: 944044
    Track: SWE Agents
    Speaker: Jonathon Belotti (Member of Technical Staff @ Modal)
    Format: Talk
    Room: Salons 9-15: Expo Hall
    Time: 4 Jun 2025 01:15 PM
    Session Title: Run 1000 branches of code with sandbox snapshotting
    Description:
    A peek under the hood of how we built container checkpoints and restores to enable massively parallel agentic workflows.
    
    No one wants to wait on infrastructure. In this short talk we’ll go through a demo and system design of container checkpoint/restore, which supports both burst autoscaling and agent branching for Modal's serverless Functions and Sandboxes.
    
    Can you save a live container to a file? Can you save a live GPU? Come by the Modal booth to find out!

  ------------------------------------

    Session ID: 915312
    Track: SWE Agents
    Speaker: Matthew Schoenbauer (Founding Engineer)
    Format: Talk
    Room: Foothill C: Agent Reliability
    Time: 4 Jun 2025 12:15 PM
    Session Title: Production software keeps breaking and it will only get worse.  Here’s how Traversal is fixing it.
    Description:
    Software is eating the world. AI is eating software. AI-powered SWE means a whole lot more software is going to be written that powers mission critical systems in the coming years, with hardly any of it written by humans. Hence, when these software systems inevitably break, it’s going to be next to impossible to troubleshoot them. Towards addressing this issue, we’ll do a product launch of Traversal’s AI, a significant step towards self-healing software systems. We will showcase how it is already used to autonomously troubleshoot production incidents in some of the most complex enterprise environments.

  ------------------------------------

    Session ID: 933632
    Track: SWE Agents
    Speaker: Numair Baseer (Deployed Engineer, Windsurf)
    Format: Workshop
    Room: Golden Gate Ballroom A: Workshops
    Time: 3 Jun 2025 03:30 PM
    Session Title: Agentic Coding with Windsurf
    Description:
    Agentic coding marks a new era in software development, where AI agents take on autonomous roles in coding tasks. The Windsurf IDE embodies this shift by integrating intelligent agents like Cascade, which maintain full codebase context to perform multi-file edits, run terminal commands, and suggest changes through tools like Supercomplete and Flows. In this session, we will explore features that allow developers to guide strategy while the AI handles execution, enhancing productivity and enabling more creative, high-level work.

  ------------------------------------

    Session ID: 933462
    Track: SWE Agents
    Speaker: Kenneth DuMez (DevRel Lead, Graphite)
    Format: Workshop
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 10:45 AM
    Session Title: The fastest software dev workflow in the world: AI meets stacked diffs
    Description:
    Learn the secrets behind the workflows that engineers at the fastest moving companies in the world are using to build software for billions of users worldwide. This workshop will cover a comprehensive overview of how to leverage generative AI to write code, how to stack and submit these pull requests, and finally how to use AI to review them.

  ------------------------------------

    Session ID: 915312
    Track: SWE Agents
    Speaker: Raj Agrawal (CTO,  Cofounder)
    Format: Talk
    Room: Foothill C: Agent Reliability
    Time: 4 Jun 2025 12:15 PM
    Session Title: Production software keeps breaking and it will only get worse.  Here’s how Traversal is fixing it.
    Description:
    Software is eating the world. AI is eating software. AI-powered SWE means a whole lot more software is going to be written that powers mission critical systems in the coming years, with hardly any of it written by humans. Hence, when these software systems inevitably break, it’s going to be next to impossible to troubleshoot them. Towards addressing this issue, we’ll do a product launch of Traversal’s AI, a significant step towards self-healing software systems. We will showcase how it is already used to autonomously troubleshoot production incidents in some of the most complex enterprise environments.

  ------------------------------------

    Session ID: 915312
    Track: SWE Agents
    Speaker: Anish Agarwal (CEO and Co-founder)
    Format: Talk
    Room: Foothill C: Agent Reliability
    Time: 4 Jun 2025 12:15 PM
    Session Title: Production software keeps breaking and it will only get worse.  Here’s how Traversal is fixing it.
    Description:
    Software is eating the world. AI is eating software. AI-powered SWE means a whole lot more software is going to be written that powers mission critical systems in the coming years, with hardly any of it written by humans. Hence, when these software systems inevitably break, it’s going to be next to impossible to troubleshoot them. Towards addressing this issue, we’ll do a product launch of Traversal’s AI, a significant step towards self-healing software systems. We will showcase how it is already used to autonomously troubleshoot production incidents in some of the most complex enterprise environments.

  ------------------------------------

    Session ID: 915745
    Track: SWE Agents
    Speaker: Misha  Laskin (CEO & co-founder)
    Format: Talk
    Room: Yerba Buena Ballroom 2-6: Reasoning + RL
    Time: 5 Jun 2025 11:55 AM
    Session Title: Post-Training Open Models with RL for Autonomous Coding
    Description:
    The models and techniques to build fully autonomous coding agents - not just coding copilots - are already here. In this talk, former Google DeepMind staff research scientist, now CEO of Reflection Misha Laskin will present new research on post-training open weight LLMs for autonomous SWE tasks. He’ll focus on how scaling LLMs with Reinforcement Learning improves the autonomous coding capabilities of LLMs, and provide insight on the technical challenges required to train such systems at scale.

  ------------------------------------

    Session ID: 933629
    Track: SWE Agents
    Speaker: Sam Alba (Co-Founder of Dagger)
    Room: Willow: Expo Sessions
    Time: 4 Jun 2025 12:45 PM
    Session Title: How to trust an agent with software delivery
    Description:
    AI-powered agents promise faster, easier software delivery, but their unpredictable behavior often makes engineers hesitant to fully trust them with critical workflows. Sam Alba, Co-founder of Dagger (and previously co-creator of Docker), explains how teams can reliably integrate agents into their delivery pipelines by shifting how they structure and manage automation.
    
    He'll share four practical strategies learned from real-world experience:
    
    1. Treat agents as workflow participants, not isolated tools.
    Stop using agents as disconnected scripts or IDE plugins. Treating them as first-class parts of your delivery process simplifies your architecture, reduces hidden complexity, and makes agent outcomes more predictable.
    
    2. Use many small agents instead of one big one.
    Just as software evolved from monoliths to microservices, software delivery benefits from smaller, specialized agents with clearly defined responsibilities. Smaller agents are easier to understand, maintain, and integrate.
    
    3. Define clear environments—the real lever for reliability.
    Instead of chasing perfect prompts or models, focus on clearly defining the tools, resources, and permissions around your agents. Precisely controlling their environments makes agents behave consistently and reliably.
    
    4. Design workflows for easy debugging and observability.
    Agents will sometimes fail unexpectedly. Sam will share simple, effective ways to build clear tracing and observability into your workflows from the start, making debugging quicker and less frustrating.
    
    You'll leave with practical, immediately usable techniques that give you the confidence to trust AI agents in your software delivery pipelines.

  ------------------------------------

    Session ID: 915387
    Track: SWE Agents
    Speaker: Robert Brennan (CEO)
    Format: Talk
    Room: Yerba Buena Ballroom 7&8: SWE Agents
    Time: 5 Jun 2025 02:20 PM
    Session Title: Software Development Agents: What Works and What Doesn't
    Description:
    The adoption of AI into software development has been bumpy. While autocomplete tools like Copilot have gone mainstream, autonomous agents like Devin and OpenHands have generated both enthusiasm and skepticism. Some engineers claim they generate a 10x productivity boost; others that they just create noise and tech debt.
    
    The difference between the enthusiasts and the skeptics is that the enthusiasts have reasonable expectations for what these agents can do, and have both practical and intuitive knowledge for how to use them effectively.
    
    In this session, we'll talk about what tasks are appropriate for today's software agents, what tasks they might start to succeed at in 2025, and what tasks are best left to humans no matter how good they get.
    
    Session Outline:
    Learn how to use software development agents like OpenHands (fka OpenDevin) effectively, without creating noise and tech debt.

  ------------------------------------

    Session ID: 933633
    Track: SWE Agents
    Speaker: Sam  Fertig (Deployed Engineer, Windsurf)
    Format: Talk
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 03:30 PM
    Session Title: The Eyes Are The (Context) Window to The Soul: How Windsurf Gets to Know You
    Description:
    Sometimes it seems like Windsurf knows you a little too well. It's one thing to generate generic code, but to predict your next intent? From matching existing code patterns and styles to tracking how local changes affect the larger codebase, this talk digs into the technical challenges of context awareness and why simply indexing code falls short. Relive our journey tackling the core issue in the AI IDE space : balancing retrieval quality with latency constraints and scaling effectively as codebases grow. For those curious about the infrastructure behind context-aware AI, this talk offers insights into our approach of turning massive codebases into collections of useful context.

  ------------------------------------

    Session ID: 933685
    Track: SWE Agents
    Speaker: Tejashwa Tiwari (Analytics and Automation Engineer)
    Room: Salons 9-15: Expo Hall
    Time: 4 Jun 2025 01:45 PM
    Session Title: Windsurf & Wonders
    Description:
    Come learn about why Windsurf is the premiere choice for engineers and enterprises alike in applications of AI for development.

  ------------------------------------

    Session ID: 933545
    Track: SWE Agents
    Speaker: Eric Hou (Member of Technical Staff, Augment Code)
    Format: Talk
    Room: SOMA: AI Architects
    Time: 4 Jun 2025 12:15 PM
    Session Title: Mentoring the Machine
    Description:
    You’d never let a swarm of fresh interns ship to prod on day one—same deal with AI agents. Mentoring the Machine dives into how acting like a tech lead (not just a user) turns those bots into real leverage. In this talk, Eric will deliver practical advice for working with AI agents in the SDLC. He'll also preview how effective use of AI agents changes the calculus of software engineering at both a micro and macro level.
    

  ------------------------------------

    Session ID: 933684
    Track: SWE Agents
    Speaker: Eashan Sinha (Deployed Engineer, Windsurf)
    Format: Talk
    Room: Nobhill A&B: Expo Sessions
    Time: 4 Jun 2025 10:55 AM
    Session Title: Mastering Engineering Flow with Windsurf
    Description:
    As experienced engineers, especially senior and staff engineers, our focus shifts towards complex problem-solving, architectural decisions, and mentoring. While AI tools promise productivity gains, Windsurf offers more than just code completion and chat assistance – it's an agentic IDE built to enhance engineering flow. This talk explores how experienced engineers can leverage Windsurf's deep contextual awareness, structured guidance, and automated workflows to tackle sophisticated and complex tasks. We'll demonstrate practical strategies for accelerating feature development, automating code maintenance and reviews, and ultimately freeing up cognitive load to focus on high-impact engineering challenges. Learn how to move beyond basic AI assistance and truly partner with Windsurf to excel in your role.

  ------------------------------------

    Session ID: 916115
    Track: SWE Agents
    Speaker: Itamar Friedman (CEO)
    Format: Talk
    Room: Foothill C: Agent Reliability
    Time: 4 Jun 2025 02:40 PM
    Session Title: Vibe Coding, with Confidence
    Description:
    Everyone wants to do Vibe Code, even large Enterprises. But how can we ensure that the generated code is well-grounded with the dev team's code and software development standards? In this talk, Itamar will present how to use various tools and agents, including MCP and A2A, to achieve precisely that.

  ------------------------------------

    Session ID: 933560
    Track: SWE Agents
    Speaker: Matt Ball (Empowering Developers with AI )
    Format: Workshop
    Room: Foothill C: Workshops
    Time: 3 Jun 2025 03:30 PM
    Session Title: Navigating deep context in legacy code with Augment Agent
    Description:
    Attendees will learn to use an AI coding agent as a fast and intuitive part of navigating and working with complex, production-grade legacy code bases. We will drop directly into the code–written in assembly–that landed the1969 Apollo 11 astronauts on the moon and, through a series of challenges, locate parts of the code tied to key functionality. Using the agent to convert a key guidance computer algorithm into a more modern programming language, attendees will then compete to see whose code has what it takes to land on the moon.

  ------------------------------------

    Session ID: 933685
    Track: SWE Agents
    Speaker: Tejashwa Tiwari (Automation Engineer @ Windsurf)
    Room: Salons 9-15: Expo Hall
    Time: 4 Jun 2025 01:45 PM
    Session Title: Windsurf & Wonders
    Description:
    Come learn about why Windsurf is the premiere choice for engineers and enterprises alike in applications of AI for development.



======================================================================
---  Track: SECURITY (June 5) ---
======================================================================

    Session ID: 933612
    Track: Security
    Speaker: Antje Barth (Principal Developer Advocate)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 4 Jun 2025 04:05 PM
    Session Title: Building  Agents at Cloud-Scale
    Description:
    Let's explore  practical strategies for building and scaling agents in production. Discover  how to move from local MCP implementations to cloud-scale architectures and  how engineering teams leverage these patterns to develop sophisticated agent  systems. Expect a mix of demos, use case discussions, and a glimpse into the  future of agentic services!

  ------------------------------------

    Session ID: 947798
    Track: Security
    Speaker: Sander Schulhoff (CEO)
    Format: Workshop
    Room: SOMA: Workshops
    Time: 3 Jun 2025 03:30 PM
    Session Title: Prompt Engineering & AI Red Teaming
    Description:
    Learn from the creator of Learn Prompting, the internet's 1st Prompt Engineering guide (released 2 months before ChatGPT), and HackAPrompt, the World's 1st AI Red Teaming competition.
    
    My talk will cover topics ranging from the history of prompt engineering to the most advanced research-backed prompt engineering techniques.
    
    I will also discuss the origins of prompt injection and AI red teaming, as well as the current state of industry and the need for agentic red teaming.
    
    Finally, we will have an interactive competition where you will be able to hone your prompt hacking skills and win prizes from swyx!
    
    https://www.hackaprompt.com

  ------------------------------------

    Session ID: 936795
    Track: Security
    Speaker: Kam Sween (Auth0, Staff Engineer, AIFS)
    Format: Talk
    Room: Foothill C: Security
    Time: 5 Jun 2025 12:15 PM
    Session Title: Securing Agents with Open Standards
    Description:
    Shipping AI agents that are safe for production means solving some tough identity and authorization challenges that are not always obvious at the prototype stage. In practice, this comes down to a handful of deeply technical questions:
    - How do you make sure agents are only acting for the right user?
    - How do you prevent over-broad API access or data leaks?
    - How do you handle user approvals when there is no UI, or you need a human in the loop?
    - And how do you avoid the usual pain points like manual credential sharing, stale keys, or unpredictable scopes without writing a lot of brittle, custom code?
    
    This talk digs into the real technical trade-offs behind building secure, user-aware AI agents. We will go beyond what to do and explain why, sharing the architectural decisions, open standards, and hard lessons learned from integrating OAuth, OIDC, RAR, and async authorization into agent-driven workflows.
    
    You will see a hands-on demo using an open-source Node.js agent and open protocols, with a focus on practical integration and no magic. The session will show how these solutions have shaped our approach to identity in GenAI and where we see the field heading next.
    
    If you are an engineer building AI apps that need real guardrails, not just a happy-path demo, we hope to leave you with some practical patterns, design rationale, and a clear view of the trade-offs for making your own agents production ready.

  ------------------------------------

    Session ID: 913351
    Track: Security
    Speaker: David Mytton (Founder)
    Format: Talk
    Room: Foothill C: Security
    Time: 5 Jun 2025 02:00 PM
    Session Title: How to defend your sites from AI bots
    Description:
    Constantly seeing CAPTCHAs? It used to be easy to detect the humans from the droids, but what else can we do when synthetic clients make up nearly half of all web requests. Rotating IPs, spoofed browsers, and agents acting on behalf of real users - are we doomed to forever be solving puzzles?
    
    In this talk, we’ll explore user agents, HTTP fingerprints, and IP reputation signals that make humans and agents stand out from scrapers, build a realistic threat model, and dig into the behaviors that reveal the LLM-mimicry. Leave with AX- and UX-safe code, benchmarks, and tools to help you take back control.

  ------------------------------------

    Session ID: 915873
    Track: Security
    Speaker: Rene Brandel (CEO)
    Format: Talk
    Room: Foothill C: Security
    Time: 5 Jun 2025 02:40 PM
    Session Title: How we hacked YC Spring 2025 batch’s AI agents
    Description:
    We hacked 7 of the16 publicly-accessible YC X25 AI agents. This allowed us to leak user data, execute code remotely, and take over databases. All within 30 minutes each. In this session, we'll walk through the common mistakes these companies made and how you can mitigate these security concerns before your agents put your business at risk.

  ------------------------------------

    Session ID: 933569
    Track: Security
    Speaker: Lou Bichard (Product Manager, Gitpod)
    Room: Juniper: Expo Sessions
    Time: 5 Jun 2025 12:45 PM
    Session Title: Building CISO-approved agent fleet architecture
    Description:
    Security is the biggest blocker for agent orchestration adoption in regulated industries for SWE agents. Gitpod's agent orchestration went from an originally self-hosted kubernetes architecture to the current 'bring your own cloud' model that enables deployment our SWE agent orchestration platform in secure environments. The architecture allows customers to securely connect their foundational models and agent memory solutions and comes with features like auto-suspend and resume for agent fleets. In this talk we deep dive into the architecture to share our years of learnings in how to secure agent workloads at scale in secure and regulated environments.

  ------------------------------------

    Session ID: 909905
    Track: Security
    Speaker: Jonathan Mortensen (CEO)
    Format: Talk
    Room: Foothill C: Security
    Time: 5 Jun 2025 11:35 AM
    Session Title: The Unofficial Guide to Apple’s Private Cloud Compute
    Description:
    In October 2024, Apple released a new private AI technology onto millions of devices called “Private Cloud Compute”. It brings the same level of privacy and security a local device offers but on an “untrusted" remote server. This talk discusses how Private Cloud Compute represents a paradigm shift in confidential computing and explores the core advancements that made it possible to become mainstream. We’ll explore its novel architecture that allows developers to run sensitive, multi-tenant workloads with cryptographically-provably privacy guarantees at scale and at reasonable cost. Attendees will leave with an understanding of how to leverage this technology for data and AI applications where privacy and security is paramount.

  ------------------------------------

    Session ID: 936795
    Track: Security
    Speaker: Bobby Tiernay (Auth0, Principal Architect)
    Format: Talk
    Room: Foothill C: Security
    Time: 5 Jun 2025 12:15 PM
    Session Title: Securing Agents with Open Standards
    Description:
    Shipping AI agents that are safe for production means solving some tough identity and authorization challenges that are not always obvious at the prototype stage. In practice, this comes down to a handful of deeply technical questions:
    - How do you make sure agents are only acting for the right user?
    - How do you prevent over-broad API access or data leaks?
    - How do you handle user approvals when there is no UI, or you need a human in the loop?
    - And how do you avoid the usual pain points like manual credential sharing, stale keys, or unpredictable scopes without writing a lot of brittle, custom code?
    
    This talk digs into the real technical trade-offs behind building secure, user-aware AI agents. We will go beyond what to do and explain why, sharing the architectural decisions, open standards, and hard lessons learned from integrating OAuth, OIDC, RAR, and async authorization into agent-driven workflows.
    
    You will see a hands-on demo using an open-source Node.js agent and open protocols, with a focus on practical integration and no magic. The session will show how these solutions have shaped our approach to identity in GenAI and where we see the field heading next.
    
    If you are an engineer building AI apps that need real guardrails, not just a happy-path demo, we hope to leave you with some practical patterns, design rationale, and a clear view of the trade-offs for making your own agents production ready.

  ------------------------------------

    Session ID: 933686
    Track: Security
    Speaker: Michael Grinich (Founder & CEO, WorkOS )
    Format: Talk
    Room: SOMA: AI Architects
    Time: 5 Jun 2025 02:00 PM
    Session Title: CIAM for AI: Who Are Your Agents and What Can They Do?
    Description:
    AI agents are changing the way modern SaaS products operate. Whether automating workflows, integrating with APIs, or acting on behalf of users, AI-driven assistants and autonomous systems are becoming core product features. But securing these agents presents a fundamental challenge: How do you authenticate AI agents? How do you control what they can access? How do you ensure they act within the right permissions? This talk will explore these concepts and more while highlighting current research and best practices.

  ------------------------------------

    Session ID: 933610
    Track: Security
    Speaker: Mike Chambers (AI/ML Specialist DA AWS)
    Format: Talk
    Room: Golden Gate Ballroom C: AI in the Fortune 500
    Time: 5 Jun 2025 12:15 PM
    Session Title: Ship it! Building Production-Ready Agents
    Description:
    Explore the practical challenges and solutions for deploying AI agents in real-world production environments. Through detailed technical analysis and practical examples, we'll examine strategies for building and orchestrating agent systems at scale. We'll cover critical infrastructure decisions, scalability frameworks, and best practices for creating robust, production-ready agent architectures.

  ------------------------------------

    Session ID: 933656
    Track: Security
    Speaker: Nick Nisi (Software developer and panelist on the JS Party podcast)
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 12:45 PM
    Session Title: Agents, Access, and the Future of Machine Identity
    Description:
    AI agents are calling APIs, submitting forms, and sending emails—but how do you control what they’re allowed to do? As agents act on behalf of users or organizations, traditional patterns like OAuth, session tokens, and role-based access often fall short.
    In this talk, we’ll explore how machine identity is evolving to meet this new landscape. You’ll learn:
    
    - How to think about authentication for agents (not just humans)
    - What it means to authorize an action when the actor is an LLM or headless service
    - Real-world strategies from WorkOS and Cloudflare for assigning, managing, and revoking agent identity and access
    
    By the end, you’ll walk away with practical tools and mental models to build agent-powered systems that are secure, auditable, and scalable.

  ------------------------------------

    Session ID: 915751
    Track: Security
    Speaker: Jared Hanson (Co-Founder)
    Format: Talk
    Room: Foothill C: Security
    Time: 5 Jun 2025 02:20 PM
    Session Title: How to Secure Agents using OAuth
    Description:
    We all know sharing passwords is bad (unless you want free TV), so why are we sharing API keys with AI?  We shouldn't, and that’s why we need to talk about OAuth.
    
    In this talk, we will give a brief intro to OAuth.  Then we will talk about the state of authorization in MCP.  We will show how an MCP client uses OAuth to authenticate a user and securely access private resources and tools hosted by an MCP server.  Then we’ll look at ways autonomous agents can use OAuth on their own behalf, talking to other agents and MCP servers directly.  We’ll learn how to use OAuth to build agents that humans and machines can trust.

  ------------------------------------

    Session ID: 915978
    Track: Security
    Speaker: Leonard Tang (Founder & CEO)
    Format: Talk
    Room: Foothill C: Security
    Time: 5 Jun 2025 11:55 AM
    Session Title: Fuzzing in the GenAI Era
    Description:
    "Evaluation" is one of those concepts that every AI practitioner vaguely knows is important, but few practitioners truly understand. Is "eval" the dataset for measuring the quality of your AI system? Is "eval" the measure, the metric of quality? Is "eval" the process of human annotation and scoring? Or is "eval" a third-party dataset run once to benchmark a model?
    
    To mitigate this cacophony, this talk will provide an opinionated and principled perspective for what we actually mean when we say “evaluation”, beyond the traditional for-loop-over-a-static dataset.
    
    In particular, this perspective draws heavy inspiration from *fuzzing*, i.e. bombarding AI with simulated, unexpected user inputs to uncover corner cases at scale. This factors into sub-problems regarding:
    
    - Quality Metric. What is the actual criteria we, as humans, are using to determine if an AI system is producing good or bad responses? How do we elicit these criteria before the human SME can articulate them? How do we, as efficiently as possible, operationalize this criteria with an automated *Judge*?
    
    - Stimuli Generation. Given a metric, how do we know, with confidence, that an AI system is performing well with respect to the metric? What data is representative and sufficient for discovering all potential bugs of an AI system? And how do we generate this complex, diverse, faithful data at scale?
    
    We will discuss in detail the philosophy, technology, and case studies behind both problems of Quality Metric and Stimuli Generation, and how they interact in concert.

  ------------------------------------

    Session ID: 938753
    Track: Security
    Speaker: Fouad Matin (Member of Technical Staff, OpenAI)
    Format: Keynote
    Room: Foothill C: Security
    Time: 5 Jun 2025 11:15 AM
    Session Title: Safety and security for code-executing agents
    Description:
    Code is the lingua franca for both software engineers and highly capable AI models. As we give agents the ability to build, test, and run code that they generate, the command line becomes their canvas—and their attack surface.
    
    This keynote explores what it takes to bring code-executing agents from research to real-world deployment while maintaining control and security. We’ll cover how terminals offer AI an ideal interface, why they’re deceptively risky, and what it means to embed security, guardrails, and trust at every layer.
    
    It’s not just about what agents can do—it’s about what they should do, and how we make sure they do it safely.



======================================================================
---  Track: TINY TEAMS (June 4) ---
======================================================================

    Session ID: 933675
    Track: Tiny Teams
    Speaker: Kevin Hou (Head of Product, Windsurf)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 4 Jun 2025 04:25 PM
    Session Title: Windsurf everywhere, doing everything, all at once
    Description:
    abstract tbd

  ------------------------------------

    Session ID: 914550
    Track: Tiny Teams
    Speaker: Sid Bendre (Co-Founder)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 2-6: Tiny Teams
    Time: 4 Jun 2025 11:35 AM
    Session Title: The New Lean Startup
    Description:
    In this session, I will be presenting a case study of Oleve's journey, revealing how we've scaled a profitable multi-product portfolio with a tiny team. I'll walk you through the emergence of "tiny teams," our two-track engineering methodology that has become our blueprint, as well as an inside look at our technical alpha – specifically how we've engineered deterministic AI agents to deliver magical and reliable consumer experiences to millions. You'll learn how we've built internal tools to grow leanly and created operating playbooks to scale operations without traditional headcount requirements. I'll also share our approach to scrappy infrastructure innovation and how our investment in internal tooling has served as a critical force multiplier. Finally, I'll give an overview of parts of the profitable portfolio playbook that keeps us lean, adaptable, and profitable across multiple product lines.
    
    Structure of talk:
    - the tiny teams revolution
    - the two-track engineering approach
    - technical alpha: deterministic ai agents at scale
    - scrappy infrastructure innovation
    - internal tooling as a multiplier
    - the profitable portfolio playbook

  ------------------------------------

    Session ID: 923914
    Track: Tiny Teams
    Speaker: Grant Lee (CEO)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 2-6: Tiny Teams
    Time: 4 Jun 2025 02:00 PM
    Session Title: Tiny Teams
    Description:
    Sean reached out on X, happy to do a talk on how to build a tiny team

  ------------------------------------

    Session ID: 939097
    Track: Tiny Teams
    Speaker: Vikas Paruchuri (CEO)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 2-6: Tiny Teams
    Time: 4 Jun 2025 02:20 PM
    Session Title: Building Small AI Teams with Huge Impact
    Description:
    tbd

  ------------------------------------

    Session ID: 911846
    Track: Tiny Teams
    Speaker: Hassan El Mghari (DevRel lead )
    Format: Talk
    Room: Yerba Buena Ballroom Salons 2-6: Tiny Teams
    Time: 4 Jun 2025 11:55 AM
    Session Title: Using OSS models to build AI apps with millions of users
    Description:
    In this talk, Hassan will go over how he builds open source AI apps that get millions of users like roomGPT.io (2.9 million users), restorePhotos.io (1.1 million users), Blinkshot.io (1 million visitors), and LlamaCoder.io (1.4 million visitors). He'll go over his journey in AI, demo some of the apps that he's built, and dig into his tech stack and code to explain how he builds these apps from scratch. He’ll also go over how to market them and go over his top tips and tricks for building great full-stack AI applications quickly and efficiently.
    
    This talk will start from first principles and give you a glimpse into Hassan’s workflow of idea -> working app -> many users. Attendees should come out of this session equipped with the resources to build impressive AI applications and understand some of the behind the scenes of how they’re built and marketed. This will hopefully serve as an educational and inspirational talk that encourages builders to go build cool things.

  ------------------------------------

    Session ID: 939142
    Track: Tiny Teams
    Speaker: Eric Simons (CEO, Bolt.new)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 2-6: Tiny Teams
    Time: 4 Jun 2025 11:15 AM
    Session Title: Bolt: The Dawn of the VibeCoder
    Description:
    tbd

  ------------------------------------

    Session ID: 940118
    Track: Tiny Teams
    Speaker: Max Brodeur-Urbas (Founder and CEO of Gumloop)
    Format: Talk
    Room: Yerba Buena Ballroom Salons 2-6: Tiny Teams
    Time: 4 Jun 2025 12:15 PM
    Session Title: Gumloop's Path to be a 10 person unicorn
    Description:
    An overview of how Gumloop is scaling automation across companies like Instacart, Webflow and Shopify with less than 10 people.

  ------------------------------------

    Session ID: 941906
    Track: Tiny Teams
    Speaker: Alex Atallah (CEO OpenRouter, co-founder of OpenSea)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 04:35 PM
    Session Title: fun stories from building OpenRouter and where all this is going
    Description:
    How the first LLM aggregator got started, some of the weird moments in its early growth, architecture challenges, and where we'll be taking it down the road



======================================================================
---  Track: UNCATEGORIZED (TBA) ---
======================================================================

    Session ID: 936006
    Track: Uncategorized
    Speaker: Greg Brockman (Cofounder, OpenAI)
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 4 Jun 2025 04:45 PM
    Session Title: #define AI Engineer
    Description:
    Greg Brockman's career and advice for AI Engineers

  ------------------------------------

    Session ID: 939093
    Track: Uncategorized
    Speaker: Julián  Duque (Principal Developer Advocate at Heroku)
    Format: Workshop
    Room: Nobhill A&B: Expo Sessions
    Time: 4 Jun 2025 01:00 PM
    Session Title: Building Agentic Applications with Heroku Managed Inference and Agents
    Description:
    In this workshop, you’ll learn how to use Heroku Managed Inference and Agents to build agentic applications. We’ll cover how to provision and deploy LLM models to your app, run untrusted code securely in Python, Node.js, Go, and Ruby using built-in tools, and use the Model Context Protocol (MCP) to connect tools and actions that extend your agents' capabilities.

  ------------------------------------

    Session ID: 936907
    Track: Uncategorized
    Speaker: Emma Ning (Principal PM in Microsoft)
    Format: Talk
    Room: Juniper: Expo Sessions
    Time: 5 Jun 2025 03:30 PM
    Session Title: Empowering Developers to build Cutting-Edge AI experiences on device
    Description: Not Available

  ------------------------------------

    Session ID: 936818
    Track: Uncategorized
    Speaker: Cedric  Vidal (Principal AI Advocate)
    Format: Talk
    Room: Nobhill C&D: Microsoft
    Time: 4 Jun 2025 01:10 PM
    Session Title: Agentic Excellence: Mastering Evaluation of AI Agents with Azure AI Evaluation SDK
    Description:
    As AI agents transition from experimental assistants to critical components of enterprise workflows, reliably evaluating their performance becomes essential. But how do you systematically measure an AI agent’s capabilities, contextual understanding, and accuracy across diverse scenarios?
    
    In this talk, we'll dive deep into the Azure AI Evaluation SDK, an innovative tool designed to rigorously assess agentic applications. Learn how to create powerful evaluations using structured test plans, scenarios, and advanced analytics that pinpoint strengths and expose hidden weaknesses. Through practical examples and real-world case studies, you'll discover how companies are already leveraging this SDK to enhance agent trustworthiness, reliability, and performance.
    
    Whether you're developing conversational agents, data-driven decision-makers, or autonomous workflow orchestrators, this session equips you with the techniques and insights needed to ensure your AI solutions deliver exceptional value and exceed user expectations.""
    

  ------------------------------------

    Session ID: 935456
    Track: Uncategorized
    Speaker: Harald Kirschner (VS Code Team Member)
    Format: Workshop
    Room: Salons 2-6: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: Real-World Development with GitHub Copilot and VS Code
    Description:
    Join us for a hands-on workshop designed to demonstrate how VS Code and GitHub Copilot's expanding suite of AI features can match or even surpasses the benefits of other popular AI developer tools.  We'll focus on practical scenarios to ensure immediate applicability and work through live demos of Copilot features such as: Code generation using Edits, Planning/problem solving using Chat, Inline terminal command generation, Boilerplate code generation using Agent mode, Improving boilerplate with custom instructions and then refactoring using Agent mode and Edits, Improving test generation and code reviews with custom instructions, as well as an Introduction to MCP.
    Pre Requisit - install GitHub Copilot and VS Code

  ------------------------------------

    Session ID: 936902
    Track: Uncategorized
    Speaker: Harald Kirschner (VS Code Team Member)
    Format: Talk
    Room: Juniper: Expo Sessions
    Time: 5 Jun 2025 01:00 PM
    Session Title: Vibe Coding at Scale: Customizing AI Assistants for Enterprise Environments
    Description:
    "Vibe coding" often falters in complex enterprise environments. Drawing from real implementations, this talk demonstrates systematic approaches to customizing AI assistants for challenging codebases. We'll explore specialized techniques for navigating complex architectures, evidence-based strategies for undocumented legacy systems, methodologies for maintaining context across polyglot environments, and frameworks for standardizing AI usage while preserving developer autonomy. Through case studies from finance and healthcare, we'll present a comprehensive evaluation framework that bridges the gap between AI's theoretical capabilities and practical enterprise implementation, enabling true flow-state collaboration even within the most complex development ecosystems.

  ------------------------------------

    Session ID: 936906
    Track: Uncategorized
    Speaker: Jonathan Larson (Senior Principal Data Architect)
    Format: Talk
    Room: Juniper: Expo Sessions
    Time: 4 Jun 2025 03:15 PM
    Session Title: GraphRAG methods to create optimized LLM context windows for retrieval
    Description: Not Available

  ------------------------------------

    Session ID: 937936
    Track: Uncategorized
    Speaker: Matthias Loibl (Director of Cloud at Polar Signals)
    Room: Willow: Expo Sessions
    Time: 4 Jun 2025 03:30 PM
    Session Title: Polar Signals Expo Session
    Description: Not Available

  ------------------------------------

    Session ID: 939088
    Track: Uncategorized
    Speaker: Daria Soboleva (Head Research Scientist, Cerebras)
    Format: Workshop
    Room: Nobhill A&B: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: From Mixture of Experts to Mixture of Agents … with Super Fast Inference
    Description:
    Our hands-on workshop will walk you through how to build your own Mixture of Agents (MoA) system using the fastest, and most capable open models available: Qwen3-32B and Llama 3.3-70B. MoA is an emerging architecture that combines the strengths of multiple large language models in a layered, agent-based design. This approach delivers superior performance by enabling specialized agents to collaborate across layers—outperforming today’s frontier models in both accuracy and efficiency.
    
    To ground this new paradigm in its roots, we’ll also explore how Mixture of Experts (MoE) architectures continue to push the boundaries of scale and specialization. Learn how Cerebras trains state-of-the-art MoEs from Daria Soboleva, Head Research Scientist.

  ------------------------------------

    Session ID: 940839
    Track: Uncategorized
    Speaker: Jon Peck (Technical Advocate & Software Developer)
    Format: Workshop
    Room: Nobhill C&D: Microsoft
    Time: 3 Jun 2025 03:30 PM
    Session Title: Collaborating with Agents in your Software Development Workflow
    Description:
    GitHub Copilot's agentic capabilities enhance its ability to act as a peer programmer. From the IDE to the repository, Copilot can generate code, run tests, and perform tasks like creating pull requests using Model Context Protocol (MCP). This instructor-led lab will guide you through using agent capabilities on both the client and the server: Key takeaways include:
    Understanding how to bring agents into your software development workflow
    Identifying scenarios where agents can be most impactful, as well as tips and tricks to provide the right context to lead to success
    Discovering how Model Context Protocol provides access to an additional set of external tools and capabilities that the agent can use
    Recommended practices to accelerate your development while maintaining code quality.

  ------------------------------------

    Session ID: 936903
    Track: Uncategorized
    Speaker: Jon Peck (Technical Advocate & Software Developer)
    Format: Talk
    Room: Willow: Expo Sessions
    Time: 4 Jun 2025 01:15 PM
    Session Title: Real-world MCPs in GitHub Copilot Agent Mode
    Description:
    As developers, we don't spend most of our time vibe-coding prototypes. More often, we're adding features, squashing bugs, and building tests for existing apps across a wide variety of services and technologies. Come learn how MCPs help GitHub Copilot to untangle real engineering problems. By allowing agent mode to securely work with data sources, testing tools, infrastructure providers, and even core DevOps tooling -- we can go beyond the hype, and solve the actual engineering problems we face every day.

  ------------------------------------

    Session ID: 936901
    Track: Uncategorized
    Speaker: Jon Peck (Technical Advocate & Software Developer)
    Format: Talk
    Room: Nobhill C&D: Microsoft
    Time: 5 Jun 2025 01:10 PM
    Session Title: Unlocking AI-Powered DevOps Within Your Organization
    Description:
    "Software development is a team sport, with many different roles, where eveyone can win. But success isn't guaranteed; it depends on specific practices, policies, and tools which enable minimally-siloed, AI-accelerated collaboration across all parts of the DevOps process, from PM to development to CI/CD and security.
    
    Discover the patterns and tools which lead to success, methods for changing the status quo, and perhaps a few horror stories. We'll touch on innersourcing, cloud development, AI, automation, governance, security, scaling and more -- with actionable learnings for everyone from small maintainer communities to F500 Enterprises."

  ------------------------------------

    Session ID: 939093
    Track: Uncategorized
    Speaker: Anush Dsouza (Senior Product Manager for Heroku AI)
    Format: Workshop
    Room: Nobhill A&B: Expo Sessions
    Time: 4 Jun 2025 01:00 PM
    Session Title: Building Agentic Applications with Heroku Managed Inference and Agents
    Description:
    In this workshop, you’ll learn how to use Heroku Managed Inference and Agents to build agentic applications. We’ll cover how to provision and deploy LLM models to your app, run untrusted code securely in Python, Node.js, Go, and Ruby using built-in tools, and use the Model Context Protocol (MCP) to connect tools and actions that extend your agents' capabilities.

  ------------------------------------

    Session ID: 936046
    Track: Uncategorized
    Speaker: Benjamin Dunphy (N/A)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 05:15 PM
    Session Title: AI Engineer World's Fair Hackathon - Grand Prize
    Description: Not Available

  ------------------------------------

    Session ID: 935459
    Track: Uncategorized
    Speaker: Christopher Harrison (Senior Developer Advocate)
    Format: Workshop
    Room: Nobhill C&D: Microsoft
    Time: 3 Jun 2025 10:40 AM
    Session Title: Piloting agents in GitHub Copilot
    Description:
    The agent capabilities added to GitHub Copilot have enhanced its ability to act as a peer programmer. Copilot can now discover and generate code based on existing standards, run tests, recover from errors, and call tools using Model Context Protocol (MCP). This workshop will guide you through piloting Copilot's agent capabilities and how to best integrate with the most widely adopted AI coding assistant in the world.
    
    Key takeaways include:
    
    - Understanding how and when to bring agents into your software development workflow
    - Providing context through the use of custom instructions and prompt files to ensure consistency across your team
    - Discovering how MCP provides access to an additional set of external tools and capabilities that the agent can use
    - Configuring Copilot's agentic capabilities to take advantage of your custom MCP server
    - Recommended best practices to help your responsibly accelerate your development while maintaining code quality and governance

  ------------------------------------

    Session ID: 935456
    Track: Uncategorized
    Speaker: Christopher Harrison (Senior Developer Advocate)
    Format: Workshop
    Room: Salons 2-6: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: Real-World Development with GitHub Copilot and VS Code
    Description:
    Join us for a hands-on workshop designed to demonstrate how VS Code and GitHub Copilot's expanding suite of AI features can match or even surpasses the benefits of other popular AI developer tools.  We'll focus on practical scenarios to ensure immediate applicability and work through live demos of Copilot features such as: Code generation using Edits, Planning/problem solving using Chat, Inline terminal command generation, Boilerplate code generation using Agent mode, Improving boilerplate with custom instructions and then refactoring using Agent mode and Edits, Improving test generation and code reviews with custom instructions, as well as an Introduction to MCP.
    Pre Requisit - install GitHub Copilot and VS Code

  ------------------------------------

    Session ID: 939088
    Track: Uncategorized
    Speaker: Daniel Kim (Head of Growth, Cerebras)
    Format: Workshop
    Room: Nobhill A&B: Workshops
    Time: 3 Jun 2025 01:00 PM
    Session Title: From Mixture of Experts to Mixture of Agents … with Super Fast Inference
    Description:
    Our hands-on workshop will walk you through how to build your own Mixture of Agents (MoA) system using the fastest, and most capable open models available: Qwen3-32B and Llama 3.3-70B. MoA is an emerging architecture that combines the strengths of multiple large language models in a layered, agent-based design. This approach delivers superior performance by enabling specialized agents to collaborate across layers—outperforming today’s frontier models in both accuracy and efficiency.
    
    To ground this new paradigm in its roots, we’ll also explore how Mixture of Experts (MoE) architectures continue to push the boundaries of scale and specialization. Learn how Cerebras trains state-of-the-art MoEs from Daria Soboleva, Head Research Scientist.

  ------------------------------------

    Session ID: 936908
    Track: Uncategorized
    Speaker: Marco Casalaina (VP of Products, Azure AI )
    Format: Talk
    Room: Nobhill C&D: Microsoft
    Time: 4 Jun 2025 01:35 PM
    Session Title: Agentic RAG: build a reasoning retrieval engine with Azure AI Search
    Description: Not Available

  ------------------------------------

    Session ID: 936046
    Track: Uncategorized
    Speaker: Shawn  Wang (N/A)
    Format: Keynote
    Room: Keynote/General Session (Yerba Buena 7&8)
    Time: 5 Jun 2025 05:15 PM
    Session Title: AI Engineer World's Fair Hackathon - Grand Prize
    Description: Not Available

  ------------------------------------

    Session ID: 936905
    Track: Uncategorized
    Speaker: Cedric  Vidal (Principal AI Advocate)
    Format: Workshop
    Room: Nobhill C&D: Microsoft
    Time: 3 Jun 2025 01:00 PM
    Session Title: Building Code-First AI Agents with Azure AI Agent Service: A Practical introduction
    Description:
    This workshop offers a hands-on introduction to developing Large Language Model (LLM)-powered AI agents using Microsoft’s Azure AI Agent Service. Participants will build a conversational agent capable of analyzing sales data, generating visualizations, and delivering actionable insights.
    
    The session takes a code-first approach using the Azure AI Foundry SDK for Python, and demonstrates how to integrate core Azure services including Azure OpenAI, Azure AI Search, and Azure Storage.
    
    Attendees will explore key concepts such as function calling, document grounding, and leveraging code interpreters to generate diagrams. The workshop also covers how to connect agents to external data sources like SQL databases (e.g., SQLite), enabling access to legacy relational systems.
    
    By the end of the session, participants will have a solid foundation for building and deploying intelligent, code-first AI agents with Azure AI Agent Service—ready to power real-world applications.

  ------------------------------------

    Session ID: 944039
    Track: Uncategorized
    Speaker: Nagkumar Arkalgud (Senior Software Engineer)
    Room: Nobhill C&D: Microsoft
    Time: 4 Jun 2025 12:45 PM
    Session Title: AI Red Teaming Agent: Accelerate your AI safety and security journey with Azure AI Foundry
    Description:
    In the age of autonomous AI agents, ensuring their safety and reliability is paramount. But how can we proactively uncover vulnerabilities before they impact real-world scenarios? Enter Azure AI Evaluation SDK’s Red Teaming Agent—a cutting-edge tool designed to rigorously challenge your AI agents, exposing hidden risks and unexpected behaviors. This session will guide you through the powerful capabilities of Azure’s Red Teaming Agent, demonstrating how it simulates adversarial scenarios, stress-tests agentic decision-making, and ensures your applications remain robust, ethical, and safe. You’ll learn practical techniques for systematically identifying weaknesses, interpreting evaluation results, and integrating safety checks into your development lifecycle. Join us to explore how embracing adversarial testing not only mitigates risks but strengthens trust in your AI solutions—keeping you ahead in the rapidly evolving landscape of responsible AI.

  ------------------------------------

    Session ID: 944039
    Track: Uncategorized
    Speaker: Keiji Kanazawa (Product @ Azure AI Foundry)
    Room: Nobhill C&D: Microsoft
    Time: 4 Jun 2025 12:45 PM
    Session Title: AI Red Teaming Agent: Accelerate your AI safety and security journey with Azure AI Foundry
    Description:
    In the age of autonomous AI agents, ensuring their safety and reliability is paramount. But how can we proactively uncover vulnerabilities before they impact real-world scenarios? Enter Azure AI Evaluation SDK’s Red Teaming Agent—a cutting-edge tool designed to rigorously challenge your AI agents, exposing hidden risks and unexpected behaviors. This session will guide you through the powerful capabilities of Azure’s Red Teaming Agent, demonstrating how it simulates adversarial scenarios, stress-tests agentic decision-making, and ensures your applications remain robust, ethical, and safe. You’ll learn practical techniques for systematically identifying weaknesses, interpreting evaluation results, and integrating safety checks into your development lifecycle. Join us to explore how embracing adversarial testing not only mitigates risks but strengthens trust in your AI solutions—keeping you ahead in the rapidly evolving landscape of responsible AI.

  ------------------------------------

    Session ID: 940839
    Track: Uncategorized
    Speaker: Christopher Harrison (Senior Enterprise Advocate, GitHub)
    Format: Workshop
    Room: Nobhill C&D: Microsoft
    Time: 3 Jun 2025 03:30 PM
    Session Title: Collaborating with Agents in your Software Development Workflow
    Description:
    GitHub Copilot's agentic capabilities enhance its ability to act as a peer programmer. From the IDE to the repository, Copilot can generate code, run tests, and perform tasks like creating pull requests using Model Context Protocol (MCP). This instructor-led lab will guide you through using agent capabilities on both the client and the server: Key takeaways include:
    Understanding how to bring agents into your software development workflow
    Identifying scenarios where agents can be most impactful, as well as tips and tricks to provide the right context to lead to success
    Discovering how Model Context Protocol provides access to an additional set of external tools and capabilities that the agent can use
    Recommended practices to accelerate your development while maintaining code quality.

  ------------------------------------

    Session ID: 936814
    Track: Uncategorized
    Speaker: Christopher Harrison (Senior Enterprise Advocate, GitHub)
    Format: Talk
    Room: Yerba Buena Ballroom 7&8: SWE Agents
    Time: 5 Jun 2025 11:55 AM
    Session Title: The Agent Awakens: Collaborative Development with GitHub Copilot
    Description: Not Available

  ------------------------------------

    Session ID: 936251
    Track: Uncategorized
    Speaker: Windsurf Speaker (N/A)
    Session Title: Windsurf Booth Session #2
    Description: Not Available

  ------------------------------------

    Session ID: 936935
    Track: Uncategorized
    Speaker: Lunch Learn (N/A)
    Room: Golden Gate Ballroom B: Evals
    Time: 5 Jun 2025 01:00 PM
    Session Title: Braintrust Lunch & Learn
    Description: Not Available



======================================================================
---  Track: VOICE (June 4) ---
======================================================================

    Session ID: 916131
    Track: Voice
    Speaker: Shrestha Basu Mallick (Product lead, Gemini Developer API)
    Format: Workshop
    Room: Salons 2-6: Workshops
    Time: 3 Jun 2025 10:40 AM
    Session Title: Building Voice Agents with Gemini and Pipecat
    Description:
    Voice AI Agents are being deployed today in a wide range of business contexts. For example:
    
    - handling an increasing variety of call center tasks,
    - collecting patient data prior to healthcare appointments,
    - following up on inbound sales leads,
    - coordinating scheduling and logistics between companies, and
    - answering the phone for nearly every kind of small business.
    
    On the consumer side, conversational voice (and video) AI is also starting to make its way into social applications and games. And developers are sharing innovative personal voice AI projects and experiments every day on GitHub and social media.
    
    Building production-ready voice agents is complicated. Many elements are non-trivial to implement from scratch.
    
    This workshop will start with an overview of the voice AI landscape today.
    
    - The models, APIs, and infrastructure are used for Voice AI applications that are operating at production scale.
    - How to write voice agent code that achieves ultra low latency conversation and enterprise-quality reliability.
    - What new models and tools are coming in the second half of 2025.
    
    Then we will shift to a hands-on format: build and deploy a voice agent.
    
    Engineers from Google and Daily will help you get set up with a starter kit repo for your intended use case, then help you extend that code to create your own, customized Voice AI application.

  ------------------------------------

    Session ID: 933596
    Track: Voice
    Speaker: Shrestha Basu Mallick (Product lead, Gemini Developer API)
    Format: Talk
    Room: Foothill E: Voice
    Time: 4 Jun 2025 02:40 PM
    Session Title: Milliseconds to Magic: Real‑Time Workflows using the Gemini Live API and Pipecat
    Description:
    The Gemini Live API GA  is now powered by Google's best cost-effective thinking model Gemini 2.5 Flash. We will do a deep dive on the capabilities that the Gemini Live API combined with Pipecat unlock for devs with special focus on session management, turn detection, tool use (including async function calls), proactivity, multilinguality and integration with telephony and other infra. We will demo some of the more innovative capabilities. We will also talk through some customer use cases - especially how customers can use Pipecat to extend these realtime multimodal capabilities to client side applications such as customer support agents, gaming agents, tutoring agents etc. In addition, we also have an experimental version of the Live API powered by with Google's native audio offering that can be tried in an experimental capacity . This experimental model  can communicate with seamless, emotive, steerable, multilingual dialogue and enhances use cases where more natural voices can be a big differentiator.

  ------------------------------------

    Session ID: 915031
    Track: Voice
    Speaker: Brooke Hopkins (Founder )
    Format: Talk
    Room: Foothill E: Voice
    Time: 4 Jun 2025 11:55 AM
    Session Title: What we can learn from self driving in autonomous voice agents
    Description:
    The reliability challenges facing voice & chat AI deployment today mirror those that the autonomous vehicle industry confronted years ago. This talk explores how evaluation methodologies developed for self-driving cars can be transferred to create autonomous, self-improving evaluation systems for conversational AI. Drawing from my experience building evaluation infrastructure at Waymo and now developing Coval, an enterprise-grade reliability platform for conversational agents, I'll demonstrate how systematic testing infrastructure is not just a technical requirement but a competitive advantage in the rapidly evolving AI landscape.

  ------------------------------------

    Session ID: 914537
    Track: Voice
    Speaker: Dominik Kundel (Developer Experience )
    Format: Workshop
    Room: Golden Gate Ballroom B: Workshops
    Time: 3 Jun 2025 03:30 PM
    Session Title: Building voice agents with OpenAI
    Description:
    We'll walk through the differences between chained and speech-to-speech powered voice agents, how to approach them, best practices and transform a text-based agent into our first voice-enabled agent

  ------------------------------------

    Session ID: 933721
    Track: Voice
    Speaker: Suman Debnath (Principal Developer Advocate, AI/ML, AWS)
    Format: Workshop
    Room: Foothill G1&2: Workshops
    Time: 3 Jun 2025 03:30 PM
    Session Title: VoiceVision RAG - Integrating Visual Document Intelligence with Voice Response
    Description:
    In this workshop we will explore the integration of Colpali, a cutting-edge Vision based Retrieval Model, with voice synthesis for next-generation RAG systems. We'll demonstrate how Colpali's ability to generate multi-vector embeddings directly from document images bypasses traditional OCR and complex preprocessing, while adding voice output creates a more intuitive and accessible user experience. Attendees will see how this combination handles documents with mixed textual and visual information, leading to more efficient and accurate information retrieval with natural voice responses.

  ------------------------------------

    Session ID: 933599
    Track: Voice
    Speaker: Arjun Desai (Co-Founder, Cartesia)
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 01:15 PM
    Session Title: Serving Voice  AI at Scale
    Description:
    Real-Time  Voice AI applications demand the lowest possible latencies to enhance user  experiences with more advanced reasoning and agentic capabilities. AWS is  hosting Arjun Desai, co-founder of Cartesia, in a fireside chat for a  technical deep dive into learnings and best practices for building a  state-of-the-art inference stack that serves global enterprise customers.

  ------------------------------------

    Session ID: 937506
    Track: Voice
    Speaker: Neil Dwyer (CTO)
    Room: Foothill E: Voice
    Time: 4 Jun 2025 12:15 PM
    Session Title: Serving Voice AI at $1/hr: Open-source, LoRAs, Latency, Load Balancing
    Description:
    This is a talk that goes over our experience deploying Orpheus (Emotive, Realtime TTS) to production. It will cover topics:
    
    - Latency and optimizations
    - High fidelity voice clones w/ examples
    - Load balancing w/ multiple GPUs and multiple LoRas

  ------------------------------------

    Session ID: 916131
    Track: Voice
    Speaker: Kwindla Kramer (CEO )
    Format: Workshop
    Room: Salons 2-6: Workshops
    Time: 3 Jun 2025 10:40 AM
    Session Title: Building Voice Agents with Gemini and Pipecat
    Description:
    Voice AI Agents are being deployed today in a wide range of business contexts. For example:
    
    - handling an increasing variety of call center tasks,
    - collecting patient data prior to healthcare appointments,
    - following up on inbound sales leads,
    - coordinating scheduling and logistics between companies, and
    - answering the phone for nearly every kind of small business.
    
    On the consumer side, conversational voice (and video) AI is also starting to make its way into social applications and games. And developers are sharing innovative personal voice AI projects and experiments every day on GitHub and social media.
    
    Building production-ready voice agents is complicated. Many elements are non-trivial to implement from scratch.
    
    This workshop will start with an overview of the voice AI landscape today.
    
    - The models, APIs, and infrastructure are used for Voice AI applications that are operating at production scale.
    - How to write voice agent code that achieves ultra low latency conversation and enterprise-quality reliability.
    - What new models and tools are coming in the second half of 2025.
    
    Then we will shift to a hands-on format: build and deploy a voice agent.
    
    Engineers from Google and Daily will help you get set up with a starter kit repo for your intended use case, then help you extend that code to create your own, customized Voice AI application.

  ------------------------------------

    Session ID: 915028
    Track: Voice
    Speaker: Kwindla Kramer (CEO )
    Format: Talk
    Room: Foothill E: Voice
    Time: 4 Jun 2025 11:15 AM
    Session Title: [Voice Keynote] Your realtime AI is ngmi
    Description:
    Sean DuBois of OpenAI and Pion, and Kwindla Hultman Kramer of Daily and Pipecat, will talk about why you have to design realtime AI systems from the network layer up.
    
    Most people who build realtime AI apps and frameworks get it wrong. They build from either the model out or the app layer down. But unless you start with the network layer and build up, you'll never be able to deliver realtime audio and video streams reliably. And perhaps even worse, you'll get core primitives wrong: interruption handling, conversation state management, asynchronous function calling.
    
    Sean and Kwin agree on most things: old-school realtime systems people against the rest of the world. But they disagree on some important things, too, and will argue about those things live on stage. Do you need to give developers "thick" client-side realtime SDKs? Can you build truly great vendor neutral APIs? (You'll be surprised which of them argues which side, on that topic.)

  ------------------------------------

    Session ID: 933596
    Track: Voice
    Speaker: Kwindla Kramer (CEO )
    Format: Talk
    Room: Foothill E: Voice
    Time: 4 Jun 2025 02:40 PM
    Session Title: Milliseconds to Magic: Real‑Time Workflows using the Gemini Live API and Pipecat
    Description:
    The Gemini Live API GA  is now powered by Google's best cost-effective thinking model Gemini 2.5 Flash. We will do a deep dive on the capabilities that the Gemini Live API combined with Pipecat unlock for devs with special focus on session management, turn detection, tool use (including async function calls), proactivity, multilinguality and integration with telephony and other infra. We will demo some of the more innovative capabilities. We will also talk through some customer use cases - especially how customers can use Pipecat to extend these realtime multimodal capabilities to client side applications such as customer support agents, gaming agents, tutoring agents etc. In addition, we also have an experimental version of the Live API powered by with Google's native audio offering that can be tried in an experimental capacity . This experimental model  can communicate with seamless, emotive, steerable, multilingual dialogue and enhances use cases where more natural voices can be a big differentiator.

  ------------------------------------

    Session ID: 933599
    Track: Voice
    Speaker: Rohit Talluri (Senior Worldwide Generative AI Specialist BD - Foundation Model Training & Inference)
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 01:15 PM
    Session Title: Serving Voice  AI at Scale
    Description:
    Real-Time  Voice AI applications demand the lowest possible latencies to enhance user  experiences with more advanced reasoning and agentic capabilities. AWS is  hosting Arjun Desai, co-founder of Cartesia, in a fireside chat for a  technical deep dive into learnings and best practices for building a  state-of-the-art inference stack that serves global enterprise customers.

  ------------------------------------

    Session ID: 931123
    Track: Voice
    Speaker: Peter Bar (Product Lead, Voice AI)
    Format: Talk
    Room: Foothill E: Voice
    Time: 4 Jun 2025 11:35 AM
    Session Title: Shipping an Enterprise Voice AI Agent in 100 Days
    Description:
    What does it take to go from blank page to live enterprise voice agent in 100 days?
    
    That’s the challenge we took on with Fin Voice at Intercom. Enterprise customer service demands high-quality, reliable voice interactions - but delivering that fast means wrestling with tough problems like latency, hallucinations, voice quality, and answer accuracy.
    
    We rapidly evaluated and integrated a full voice stack - including transcription, language model, text-to-speech, retrieval-augmented generation, and telephony - while designing tools that fit seamlessly into existing human support workflows.
    
    In this session, I’ll share key lessons from our accelerated development of Fin Voice. We'll explore the technical and operational hurdles we faced, the trade-offs we made, and how we built deployment and handover tools that work for customer service teams. You'll leave with insights into building AI-driven voice products that are both powerful and practical.

  ------------------------------------

    Session ID: 933491
    Track: Voice
    Speaker: Chad Bailey (Senior Voice Bots Engineer, Daily)
    Room: Salons 9-15: Expo Hall
    Time: 5 Jun 2025 01:30 PM
    Session Title: Pipecat Cloud: Open Source Enterprise Voice AI
    Description:
    Learn about building voice agents with for customer support, call center workflows, market research, and many other use cases.  Pipecat is the open source, vendor neutral realtime agent framework used by teams at NVIDIA, OpenAI, Google DeepMind, AWS, and hundreds of startups and scale-ups.

  ------------------------------------

    Session ID: 937506
    Track: Voice
    Speaker: Jack Dwyer (CEO @ Gabber - End to End Backend For Realtime AI)
    Room: Foothill E: Voice
    Time: 4 Jun 2025 12:15 PM
    Session Title: Serving Voice AI at $1/hr: Open-source, LoRAs, Latency, Load Balancing
    Description:
    This is a talk that goes over our experience deploying Orpheus (Emotive, Realtime TTS) to production. It will cover topics:
    
    - Latency and optimizations
    - High fidelity voice clones w/ examples
    - Load balancing w/ multiple GPUs and multiple LoRas

  ------------------------------------

    Session ID: 915028
    Track: Voice
    Speaker: Sean DuBois (WebRTC and Realtime API)
    Format: Talk
    Room: Foothill E: Voice
    Time: 4 Jun 2025 11:15 AM
    Session Title: [Voice Keynote] Your realtime AI is ngmi
    Description:
    Sean DuBois of OpenAI and Pion, and Kwindla Hultman Kramer of Daily and Pipecat, will talk about why you have to design realtime AI systems from the network layer up.
    
    Most people who build realtime AI apps and frameworks get it wrong. They build from either the model out or the app layer down. But unless you start with the network layer and build up, you'll never be able to deliver realtime audio and video streams reliably. And perhaps even worse, you'll get core primitives wrong: interruption handling, conversation state management, asynchronous function calling.
    
    Sean and Kwin agree on most things: old-school realtime systems people against the rest of the world. But they disagree on some important things, too, and will argue about those things live on stage. Do you need to give developers "thick" client-side realtime SDKs? Can you build truly great vendor neutral APIs? (You'll be surprised which of them argues which side, on that topic.)

  ------------------------------------

    Session ID: 932493
    Track: Voice
    Speaker: Tom Shapland, PhD (Product Manager)
    Format: Talk
    Room: Foothill E: Voice
    Time: 4 Jun 2025 02:20 PM
    Session Title: Why ChatGPT Keeps Interrupting You
    Description:
    ChatGPT Advanced Voice Mode isn’t interrupting just you. Interruptions, and turn-taking in general, are unsolved problems for all Voice AI agents. Nobody likes being cut short – and people have much less patience for machines than they do for other humans. Turn-taking failures take many forms (e.g., the agent interrupts the user, the agent mistakes a cough for an interruption), and all of them lead to users immediately hanging up the phone.
    
    In this talk, we use human conversation as a framework for understanding both today’s approaches to turn detection and where the field is headed. You’ll learn about how linguists think about turn detection in human dialogue, what’s working (and what’s broken) in current methods, and how we might build Voice AIs that interrupt you less than your human brother.

  ------------------------------------

    Session ID: 933580
    Track: Voice
    Speaker: Philip Kiely (Head of Developer Relations)
    Room: Willow: Expo Sessions
    Time: 5 Jun 2025 01:15 PM
    Session Title: Optimizing inference for voice models in production
    Description:
    How do you get time to first byte (TTFB) below 150 milliseconds for voice models -- and scale it in production? As it turns out, open-source TTS models like Orpheus have an LLM backbone that lets us use familiar tools and optimizations like TensorRT-LLM and FP8 quantization to serve the models with low latency. But client code, network infrastructure, and other outside-the-GPU factors can introduce latency in the production stack. In this talk, we'll cover the basic mechanics of TTS inference, common pitfalls to avoid in integrating them into production systems, and how to extend this high-performance system to serve customized models with voice cloning and fine-tuning.

  ------------------------------------

    Session ID: 915431
    Track: Voice
    Speaker: Thor 雷神 Schaeff (DX at ElevenLabs)
    Format: Workshop
    Room: Golden Gate Ballroom A: Workshops
    Time: 3 Jun 2025 11:00 AM
    Session Title: Build multilingual Conversational AI Agents
    Description:
    In this workshop you will learn how to build multilingual Conversational AI agents that can automatically detect your user's spoken language and can seamlessly switch to their preferred language.

  ------------------------------------

    Session ID: 933589
    Track: Voice
    Speaker: Mark Backman (Head of Product, Daily)
    Room: Nobhill A&B: Expo Sessions
    Time: 5 Jun 2025 11:00 AM
    Session Title: Pipecat Cloud: Enterprise Voice Agents Built On Open Source
    Description:
    Voice AI agents today can conduct natural, human-like conversations and perform a wide variety of tasks: customer support, lead qualification, healthcare patient intake, market research, and more.
    
    Today's best voice agents combine: realtime responsiveness, open-ended conversational intelligence, reliable instruction following, and flexible integration with existing back-end systems.
    
    Learn how to build state of the art voice agents using Pipecat's open source, vendor neutral tooling. You can deploy Pipecat agents to your own infrastructure or to Pipecat Cloud.
    
    Pipecat is used and supported by teams at NVIDIA, AWS, Google DeepMind, OpenAI, and hundreds of other companies.

  ------------------------------------

    Session ID: 916079
    Track: Voice
    Speaker: Jordan Dearsley (CEO)
    Format: Talk
    Room: Foothill E: Voice
    Time: 4 Jun 2025 02:00 PM
    Session Title: Building the Voice-First Future: Omnipresent Agents that Listen, Talk and Act
    Description:
    We’re entering a world where talking to machines feels as natural as talking to people. Voice is about to become the dominant interface for technology - ambient, always-on, and human by default. To get there, we need infrastructure that can orchestrate voice, tools, memory, real-time reasoning and telephony. This talk explores the vision for voice and how we're making it work at scale.


## Expo

Open across all 3 days. Featuring 30+ booths and demo areas showcasing the most relevant and forward-thinking AI infrastructure and developer tools. Meet the engineers and founders behind:

Microsoft, AWS, MongoDB, Neo4j, Hasura, Galileo, Sourcegraph, LlamaIndex, Temporal, Baseten, Elastic, Orb, Gitpod, Freeplay, Dagger, Traceloop, Pydantic, Arize, Arcjet, Zed, Modal, Agentuity, Weights & Biases, Fly.io, Sierra, Vellum, GenSx, Redis, Langbase, Twilio, Descope, SuperAnnotate, Unstructured, Baz, VESSL AI, Riza, Tambo, Sentry, Xpander, Thomson Reuters, ElevenLabs, Pomerium, Daytona, Polar Signals, Vercel, Ampersand, Together AI, Distributional, and many more.

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## AI Architects Track

Invite-only track for AI executives (VPs, CTOs, Heads of AI at enterprises with >1000 employees).

- Closed-door briefings and roundtables
- Topics include technical org design, model building, FMOps, evals, inference optimization, build/buy decisions
- Exclusive access to premium lunches and networking in the View Lounge

## Side Events (2024 Examples)

A full week of satellite events hosted by our partners:
- Hackathons (e.g., AI21, GenLab x AIEWF)
- Deep Tech Week launch parties
- RAG++ pre-party, AI DevTools nights
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- Demo Days, quality conferences, founders dinners

If you are organizing an event around June 1–8, email **sponsorships@ai.engineer** to be added to the official calendar.

## Venue & Hotel

**Marriott Marquis, San Francisco**  
780 Mission St, San Francisco, CA 94103

- Yerba Buena Ballroom: Keynotes, expo, and large sessions
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## Sponsors

### Community Partners
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### Presenting Sponsor

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### Innovation Partner

AWS

### Track Sponsors

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### Platinum Sponsors

Graphite, Daily, Windsurf, MongoDB, AugmentCode, WorkOS

### Gold Sponsors

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### Silver Sponsors

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Circle

## Testimonials

> "The most insightful and exciting conference I ever attended. High signal, deeply technical, and community-focused."  
> — Yanick J. S.

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> — Eric Ryan

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> — Yubrew

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> — Eric Ness

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**Note:** The 2025 tracks are subject to change. Check the website for the latest updates.  
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