Conferences / Data Council
AI Council 2026
May 12–14, 2026 · San Francisco Marriott Marquis, San Francisco, CA, United States
- Conference
- Data Council Vendor & industry
- Dates
- May 12, 2026 – May 14, 2026
- Venue
- San Francisco Marriott Marquis
- Place
- San Francisco, CA, United States
- Format
- In person
- Status
- Past
- Attendance
- 1,500Organizer site counter a week before the event: '1500+ Technical Attendees' (pre-event marketing figure).
- Website
- aicouncil.com
- Recorded
- 28 sponsors · 112 speaker appearances
- Notes
- First edition under the AI Council name (Data Council renamed, announced Dec 2025). TextQL's logo sat in the 'Platinum & Gold' block without its own label. Group pricing: 5-pack $1,200/ticket, 10-pack $1,000/ticket. Speakers: all talks listed in the AI Council (formerly Data Council) past-events archive; affiliations as given there, which may reflect a speaker's title at a later date.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Startup (raised under $10M) | $799 | — | web.archive.org | |
| Regular | $1,999 | — | Page noted late-bird pricing would follow | web.archive.org |
| Investor | $4,999 | — | web.archive.org |
Sponsors 28
Platinum 1
Gold 1
Silver 11
Startup 4
- Crux · Seed
- Hydra Host · Seed
- PhoenixAI · Seed
- Prior Labs · Seed
Unspecified tier 1
- TextQL · Platinum & Gold
Speakers and talks 112
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Alex Mashrabov | Higgsfield | Keynote | Born Different: How AI Natives Build Startups Strategy & culture | — |
| Brie Wolfson | Positive Sum / Colossus | Keynote | Born Different: How AI Natives Build Startups Strategy & culture | — |
| Bryan Bischof | Theory Ventures | Keynote | Modern Inference for Modern Workloads ML & MLOps | — |
| Carl Perry | Snowflake | Keynote | After the Lakehouse: Building Data Infra for the AI Era Warehouse & lakehouse | — |
| Charles Frye | Modal | Keynote | Modern Inference for Modern Workloads ML & MLOps | — |
| Charles Zedlewski | Together AI | Keynote | Modern Inference for Modern Workloads ML & MLOps | — |
| Jamin Ball | Altimeter | Keynote | After the Lakehouse: Building Data Infra for the AI Era Warehouse & lakehouse | — |
| Nic Ouporov | Fleet | Keynote | The World Is Not Enough: RL’s Environment Problem ML & MLOps | — |
| Nikhil Benesch | turbopuffer | Keynote | Born Different: How AI Natives Build Startups Strategy & culture | — |
| Nikita Shamgunov | Databricks | Keynote | After the Lakehouse: Building Data Infra for the AI Era Warehouse & lakehouse | — |
| Pete Soderling | AI Council & Zero Prime Ventures | Keynote | The End of the Internet As We Know It Other | — |
| Raffi Krikorian | Mozilla | Keynote | The End of the Internet As We Know It Other | — |
| Sarah Catanzaro | Amplify Partners | Keynote | The World Is Not Enough: RL’s Environment Problem ML & MLOps | — |
| Silas Alberti | Cognition | Keynote | Born Different: How AI Natives Build Startups Strategy & culture | — |
| Thais Castello Branco | Taste Labs | Keynote | The World Is Not Enough: RL’s Environment Problem ML & MLOps | — |
| Tuomas Rintamaki | NVIDIA | Keynote | Modern Inference for Modern Workloads ML & MLOps | — |
| Vincent Weisser | Prime Intellect | Keynote | The World Is Not Enough: RL’s Environment Problem ML & MLOps | — |
| Yury Izrailevsky | ClickHouse | Keynote | After the Lakehouse: Building Data Infra for the AI Era Warehouse & lakehouse | — |
| Abhay Singhal | Factory | Talk | Recursively Self-Improving Agents as Autonomous Software Engineering GenAI & agents | — |
| Allie Howe | Host | Panel | Enabling Highly Autonomous Trusted Agents GenAI & agents | — |
| Amruta Moktali | Skyflow | Talk | Agents Break Data Security — And Here's What You Do About It Governance & security | — |
| Andrew Qu | Vercel | Talk | We Solved Agent Building GenAI & agents | — |
| Andrew Zigler | LinearB | Talk | 5 Lessons from the Classroom for Evaluating Agents GenAI & agents | — |
| Andy Kimball | Cockroach Labs | Talk | Your Database Wasn't Built for This Operational databases | — |
| Apoorva Joshi | MongoDB | Talk | Designing Memory Systems for AI Agents GenAI & agents | — |
| Avik Basu | Intuit | Talk | From Prediction to Uplift: Causal Modeling for Better Decisions Data science | — |
| Benn Stancil | Mode | Talk | Benchmarking AI Agents Against Realistic Analytical Tasks with ADE-bench GenAI & agents | — |
| Bhargavi Reddy Dokuru | Netflix | Talk | Democratizing Analytics via Self Service BI & semantic layer | — |
| Calvin French-Owen | Twilio Segment | Talk | Calvin French-Owen on the Future of Agentic Coding GenAI & agents | — |
| Chang She | LanceDB | Talk | Trillion is the New Billion: Managing Really Large Multimodal Datasets for AI Data engineering | — |
| Charles Dickens | Snorkel AI | Talk | Towards Reliable Financial Agents: How a 4B Model Outsmarted a 235B Giant GenAI & agents | — |
| Chris Alexiuk | NVIDIA | Talk | RLVR in Practice: From Synthetic Data to GRPO GenAI & agents | — |
| Chris Clark | Open Router | Panel | The Open Layer: How Open Models, Routing, and Inference Are Reshaping Agentic Engineering GenAI & agents | — |
| Colin Parsons | Sutro | Talk | AI Launchpad 2026: Sutro GenAI & agents | — |
| Curtis Galione | Braintrust | Talk | Evals 101: Intro to Evals for Engineers GenAI & agents | — |
| Dan Guido | Trail of Bits | Talk | How we made Trail of Bits AI-Native (so far) GenAI & agents | — |
| Dharmesh Kakadia | Mixtrain | Talk | AI Launchpad 2026: Mixtrain GenAI & agents | — |
| Diana Kelley | Noma Security | Panel | Enabling Highly Autonomous Trusted Agents GenAI & agents | — |
| Diana Kelley | Noma Security | Talk | Agentic AI: From Risk Awareness to Practical Control GenAI & agents | — |
| Dima Dzhulgakov | Fireworks AI | Panel | The Open Layer: How Open Models, Routing, and Inference Are Reshaping Agentic Engineering GenAI & agents | — |
| Diogo Almeida | TypeSafe AI | Talk | AI: Too Good to Be True, Too Bad to Be Useful GenAI & agents | — |
| Dustin Healy | ClickHouse | Talk | Building Agentic RAG Systems with ClickHouse GenAI & agents | — |
| Eduardo Olivares | Orb | Talk | Pricing AI Agents GenAI & agents | — |
| Ellen Perfect | Orb | Talk | Pricing AI Agents GenAI & agents | — |
| Emilie Schario | Kilo Code | Talk | The Best Engineer in the Room Doesn't Write Code Strategy & culture | — |
| Eno Reyes | Factory | Talk | When Your AI Agent Runs for 16 Days Straight GenAI & agents | — |
| Ethan Ding | TextQL | Talk | A Guide to Deploy an Enterprise-Ready ClawdBot in Under 30 Minutes and Not Make Your CISO Hate You GenAI & agents | — |
| Ezi Ozoani | Aethon | Talk | Lessons From RL Systems That Looked Fine Until They Didn't ML & MLOps | — |
| Felipe Huici | Unikraft | Talk | Running Millions of (Millisecond) AI Sandboxes without Breaking the Piggy Bank Infrastructure & cost | — |
| Feross Aboukhadijeh | Socket | Talk | The Agent Attack Surface: Why AI Is Breaking Software Security As We Know It GenAI & agents | — |
| Feross Aboukhadijeh | Socket | Panel | Enabling Highly Autonomous Trusted Agents GenAI & agents | — |
| Francisco Ferreira | Datalinks | Talk | Powering agents with Context Graphs & Ontologies GenAI & agents | — |
| Francois Ajenstat | Golden Analytics | Talk | AI Launchpad 2026: Golden Analytics Other | — |
| Gaurav Nuti | Snowflake | Talk | How to Unlock Enterprise Value by Training Your Own Language Models GenAI & agents | — |
| George He | CocoIndex | Talk | AI Launchpad 2026: CocoIndex GenAI & agents | — |
| Glauber Costa | Turso | Talk | Agents will need trillions of databases. Let's give it to them! GenAI & agents | — |
| Hannes Mühleisen | DuckDB Labs | Talk | Super-Secret Next Big Thing for DuckDB Community & projects | — |
| Harel Shein | Datadog | Talk | Five years of OpenLineage: How we built an industry standard and why agents need it Data quality & observability | — |
| Heather Ceylan | Box | Panel | Enabling Highly Autonomous Trusted Agents GenAI & agents | — |
| Izzy Miller | Hex | Talk | Welcome to Our Data Benchmark, Where Everything's Made Up and the Points Don't Matter Other | — |
| Izzy Miller | Hex | Talk | How Product and Research Build Together at the Frontier Strategy & culture | — |
| Jacopo Tagliabue | Bauplan | Talk | Forgiveness, Not Permission: Running Agents On Production Data GenAI & agents | — |
| James Le | TwelveLabs | Talk | Context Engineering for Video Intelligence: Beyond Model Scale to Real-World Impact ML & MLOps | — |
| Jared Hanson | Keycard | Talk | Identity Is the Bottleneck: Why Agents Force a New Security Model Governance & security | — |
| Jason Ganz | dbt Labs | Talk | Benchmarking AI Agents Against Realistic Analytical Tasks with ADE-bench GenAI & agents | — |
| Jill Cates | Shopify | Talk | AI Attribution: Measuring What AI Actually Did GenAI & agents | — |
| Joey Baker | Render | Talk | Should Agents Be Durable? GenAI & agents | — |
| John Dickerson | Mozilla | Talk | Do the Boring Stuff to Make Open Source AI Win Community & projects | — |
| Julien Le Dem | Datadog | Talk | The deconstructed database at Datadog Database internals | — |
| Kanishk Mittal | InterSystems | Talk | Beyond the AI Pilot: A Framework for Building Systems That Actually Deliver Strategy & culture | — |
| Kaushik Iska | ClickHouse | Talk | From Postgres to ClickHouse and Back: Building a Unified OLTP + OLAP Database for AI Workloads Database internals | — |
| Kshitij Grover | Orb | Talk | Pricing AI Agents GenAI & agents | — |
| Kuba Rogut | turbopuffer | Talk | Let’s Teach Claude Code Semantic Code Search With turbopuffer GenAI & agents | — |
| Lei Xu | LanceDB | Talk | Trillion is the New Billion: Managing Really Large Multimodal Datasets for AI Data engineering | — |
| Leonhard Spiegelberg | OpenAI | Talk | The Modern Data Stack Lost the War: Stop Building more DataFrame APIs Analytics engineering | — |
| Linghua Jin | CocoIndex | Talk | AI Launchpad 2026: CocoIndex GenAI & agents | — |
| Linus Lee | Thrive Capital | Talk | Context Engineering at the Frontier GenAI & agents | — |
| Lucas Atkins | Arcee AI | Talk | Trinity: Training a 400B MoE from Scratch Without Losing Your Mind GenAI & agents | — |
| Lucas Atkins | Arcee AI | Panel | The Open Layer: How Open Models, Routing, and Inference Are Reshaping Agentic Engineering GenAI & agents | — |
| Mark Niklas Mueller | LogicStar AI | Talk | AI Launchpad 2026: LogicStar AI GenAI & agents | — |
| Mark Niklas Mueller | LogicStar AI | Talk | How Action Bias Breaks Autonomous Software Maintenance Strategy & culture | — |
| Marta Paes | ClickHouse | Talk | Data Lake CDC: are we there yet? Warehouse & lakehouse | — |
| Max Schmitt | Amazon Web Services | Talk | Make Vibe Coding Safe: How to Test with Playwright? GenAI & agents | — |
| Meryem Arik | Doubleword | Talk | Inference for Async Agents in Production GenAI & agents | — |
| Naheil McAvinue | GitLab | Talk | Breaking the Proof-of-Concept Cycle: Stop Prototyping and Get Into Production Strategy & culture | — |
| Neil Movva | Sail Research | Talk | Great Infra for Background Agents GenAI & agents | — |
| Nikhil Benesch | turbopuffer | Talk | Building the Database for Trillion-Scale AI Search Operational databases | — |
| Olivia Koshy | Hex | Talk | How Product and Research Build Together at the Frontier Strategy & culture | — |
| Omead Pooladzandi | PrismML | Talk | Making Neural Networks Smaller: Quantization and Pruning ML & MLOps | — |
| Parminder Singh | Redscope AI | Talk | Building Durable, Long-Running Autonomous Agents GenAI & agents | — |
| Paul Blankley | Zenlytic | Talk | Agents Are Eating the Semantic Layer GenAI & agents | — |
| Pierre Lacave | Datadog | Talk | The deconstructed database at Datadog Database internals | — |
| Rishabh Mehrotra | Pavo AI | Talk | AI Launchpad 2026: Pavo GenAI & agents | — |
| Robert Martin-Short | Databricks | Talk | Systematic LLM Prompt Optimization with DSPy and Databricks GenAI & agents | — |
| Robin Tang | Artie | Talk | Scaling CDC to Trillions of Rows: What Broke, What We Rebuilt, and What AI Demands Next Streaming | — |
| Rushabh Mehta | Meta | Talk | Build Trustworthy LLM Apps Powered by Agentic evals GenAI & agents | — |
| Sami Jaghouar | Prime Intellect | Talk | How Open Frontier Labs Actually Train Their Models ML & MLOps | — |
| Scott Breitenother | Kilo Code | Panel | The Open Layer: How Open Models, Routing, and Inference Are Reshaping Agentic Engineering GenAI & agents | — |
| Sean Hughes | Evidence | Talk | What Happens to BI in an AI-First World? BI & semantic layer | — |
| Seth Kimmel | Sutro | Talk | AI Launchpad 2026: Sutro GenAI & agents | — |
| Simba Khadder | Redis | Talk | Context Engineering 2.0: Unifying MCP, Agentic RAG, and Memory GenAI & agents | — |
| Soumya Kalra | City of SF | Talk | Building the Blueprint for Scalable Data Products in Public Sector Strategy & culture | — |
| Stas Kelvich | Databricks | Talk | AI Needs a New Kind of OLTP: Lakebase & Serverless Postgres in the Agent Era Operational databases | — |
| Steven Karis | Resolve AI | Talk | What It Takes to Build Reliable AI Systems for Production Operations ML & MLOps | — |
| Sunny Bakhda | HoneyHive AI | Talk | From Spans to Trajectories: Observability for Long-Running Agents GenAI & agents | — |
| Umesh Unnikrishnan | Snowflake | Talk | Building a Data Native Agent: Cortex Code GenAI & agents | — |
| Utkarsh Sengar | Webflow | Talk | Prompt to Production: Building from Traditional SaaS to True AI-Native SaaS GenAI & agents | — |
| Vasundra Srinivasan | Salesforce | Talk | Running Enterprise Agents in Production: Architecture and Secure Execution Models GenAI & agents | — |
| Vik Korrapati | Moondream AI | Talk | No Dropped Frames: Designing a VLM around a Latency Budget GenAI & agents | — |
| Wes McKinney | Posit | Talk | The Mythical Agent-Month Strategy & culture | — |
| Yaroslav Bulatov | Together AI | Talk | What comes after Deep Learning? GenAI & agents | — |
| Zach Mueller | Lambda | Talk | Optimizing Model Training End-to-End: A Tiny MoE Case Study ML & MLOps | — |