Conferences / Data Council
Data Council 2025
Apr 22–24, 2025 · Oakland Scottish Rite Center, Oakland, CA, United States
- Conference
- Data Council Vendor & industry
- Dates
- Apr 22, 2025 – Apr 24, 2025
- Venue
- Oakland Scottish Rite Center
- Place
- Oakland, CA, United States
- Format
- In person
- Status
- Past
- Attendance
- 1,000Organizer site counter: '1000+ Technical Attendees' (marketing figure, not a confirmed post-event count).
- Website
- datacouncil.ai
- Recorded
- 35 sponsors · 123 speaker appearances
- Notes
- Lowest sponsor tier was labelled 'Base' (normalized to bronze). 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 (companies that raised <$5M) | $799 | — | web.archive.org | |
| Regular | $1,999 | — | web.archive.org | |
| Investor | $4,999 | — | web.archive.org |
Sponsors 35
Bronze 21
- Avo · Base
- DataHub · Base
- dbt Labs · Base
- Denodo · Base
- dltHub · Base
- Dragonfly · Base
- Embucket · Base
- erwin by Quest · Base
- Espresso AI · Base
- Fivetran · Base
- Keebo · Base
- Knowi · Base
- Onehouse · Base
- paradime.io · Base
- Pixeltable · Base
- Plotly · Base
- Snyk · Base
- Steep · Base
- Tabsdata · Base
- Tigris Data · Base
- Visitran · Base
Speakers and talks 123
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Aaron Katz | ClickHouse | Talk | Real-Time Data Infrastructure and AI: Powering the Next Generation of Analytics Streaming | — |
| Alexa Garrison | Splice | Talk | Building High-Impact Data Teams in an AI-Driven World Strategy & culture | — |
| Alexy Khrabrov | Neo4j | Talk | OAKS: Open Agentic Knowledge Stack GenAI & agents | — |
| Anant Agarwal | Instacart | Talk | Orchestrating at Scale: How Instacart Manages 20M+ Daily Workflows Orchestration | — |
| Anil Sadineni | 1upHealth | Talk | A Modern Data Stack in Healthcare Analytics engineering | — |
| Arvind Prabhakar | Tabsdata | Talk | Beyond Pipelines: Introducing Pub/Sub for Tables Streaming | — |
| Ashwin Bharambe | Meta | Talk | Building LLM Applications with Llama Stack GenAI & agents | — |
| Avi Press | Scarf | Talk | Open Source Success: Learnings from 1 Billion Downloads Community & projects | — |
| Brad Heller | Tower | Talk | AI Launchpad 2025: Tower Other | — |
| Brenna Buuck | MinIO | Talk | The Middle Ground: Balancing Batch and Real-Time Processing in a Data Lakehouse Warehouse & lakehouse | — |
| Bryan Bischof | Theory Ventures | Talk | Failure Is A Funnel Strategy & culture | — |
| Charles Frye | Modal | Talk | What Every Data Scientist Needs To Know About GPUs ML & MLOps | — |
| Chenggang Wu | RunLLM | Talk | AGI Is Already Here (But It's Not What You Think) GenAI & agents | — |
| Chenyu Qiu | Uber | Talk | Scalable Continuous Monitoring for Large-scale A/B Experimentation Data science | — |
| Christophe Blefari | nao Labs | Talk | AI Launchpad 2025: Nao GenAI & agents | — |
| Ciro Greco | Bauplan | Talk | Python Over Data Lakes: Declarative Environments, Data Management And Other Things With Feathers Warehouse & lakehouse | — |
| CL Kao | Recce | Talk | Data Engineering Is Not Software Engineering, Until It Is Data engineering | — |
| Claire Gouze | nao Labs | Talk | AI Launchpad 2025: Nao GenAI & agents | — |
| Cole Bowden | Firebolt | Talk | The Power of Low Latency Data for AI Apps Streaming | — |
| Colleen Tartow | Capital One | Talk | No More BS: How (and When) to Really Leverage AI GenAI & agents | — |
| Dadi Atar | Montara | Talk | Analytics and the Dark Side of the Analytics Development Lifecycle Strategy & culture | — |
| Daniel Olmedilla | Talk | Guardrails for the Future: AI Safety and Responsible AI in Practice GenAI & agents | — | |
| Darlene Volas | Firebolt | Talk | The Power of Low Latency Data for AI Apps Streaming | — |
| David Karam | Pi Labs | Talk | Building SOTA Search: It's Ranking All the Way Down ML & MLOps | — |
| David Wilson | Hunch Tools | Talk | Designing & Engineering a Viral Multi-Model AI Workflow: From Prototype to 300K Users in Two Weeks GenAI & agents | — |
| Denis Yarats | Perplexity | Talk | RAGs to Riches: Engineering the Future of LLM Systems GenAI & agents | — |
| Dhruv Singh | HoneyHive AI | Talk | Eval Agents: How to Solve Error Cascades in Agents GenAI & agents | — |
| Dillon Morrison | Sigma Computing | Talk | Text-to-SQL Is Not the Answer: How to Effectively Use AI For Analytics GenAI & agents | — |
| Diptanu Gon Choudhury | Tensorlake | Panel | The Future of Data Engineering in the Agent Era Data engineering | — |
| Doron Porat | Lakeway | Talk | AI is Going to Break Your Data Platform - Are You Ready? GenAI & agents | — |
| Dr. Greg Michaelson | Zerve | Talk | Scaling GenAI & Agentic Workflows for practical solutions with Zerve GenAI & agents | — |
| Elias DeFaria | SDF | Talk | Why dbt Acquired Sdf: How A Small Team Built True SQL Comprehension Analytics engineering | — |
| Eno Reyes | Factory | Talk | Building Reliable Agentic AI Systems GenAI & agents | — |
| Ethan Brown | Twitch | Talk | Building an LLM-Powered Analytics Slack Bot at Twitch GenAI & agents | — |
| Ethan Rosenthal | Runway | Talk | Building a Data Foundation for Multimodal Foundation Models ML & MLOps | — |
| Etienne Dilocker | Weaviate | Talk | The Agentic Database: A New Way to Interact with Your Data GenAI & agents | — |
| Franck Pachot | MongoDB | Talk | The Modern Database Debate: PostgreSQL and MongoDB Operational databases | — |
| Ganesh Ramanarayanan | Hex | Talk | Multi-Modal Compute for Data Analytics GenAI & agents | — |
| George Fraser | Fivetran | Talk | Look Ma, No Data Warehouse! Warehouse & lakehouse | — |
| George Mathew | Insight | Talk | Data Meets Intelligence: Where the Data Infra & AI Stack Converge Warehouse & lakehouse | — |
| Gleb Mezhanskiy | Datafold | Panel | The Future of Data Engineering in the Agent Era Data engineering | — |
| Hadley Wickham | Posit | Talk | LLMs for Data Science GenAI & agents | — |
| Hamel Husain | Parlance Labs | Talk | The Model is Not the Product Strategy & culture | — |
| Hamilton Ulmer | MotherDuck | Talk | Instant Preview Mode: Real-Time Feedback to Make SQL Data Exploration Fly BI & semantic layer | — |
| Han-chung Lee | Moody's Analytics | Talk | The Model is the Product ML & MLOps | — |
| Hannes Mühleisen | DuckDB Labs | Talk | Liberate Analytical Data Management with DuckDB Database internals | — |
| Hardik Shah | Meta | Talk | Building LLM Applications with Llama Stack GenAI & agents | — |
| Issac Roth | Orama | Talk | OramaCore: A Search Database with LLMs Built-In GenAI & agents | — |
| Jacek Migdal | Quesma | Talk | AI Launchpad 2025: Quesma GenAI & agents | — |
| Jacob Matson | MotherDuck | Talk | More Than a Vibe: AI-Driven SQL that Actually Works GenAI & agents | — |
| Jake Brill | OpenAI | Talk | Guardrails for the Future: AI Safety and Responsible AI in Practice GenAI & agents | — |
| Jake Thomas | Okta | Talk | Embedding OLAP, Everywhere: Lessons from Okta BI & semantic layer | — |
| Jerguš Lejko | TopK | Talk | AI Launchpad 2025: TopK GenAI & agents | — |
| Jesus Camacho | Microsoft | Talk | Optimizing Iceberg Table Layouts at Scale: A Multi-Objective Approach Warehouse & lakehouse | — |
| John Tokash | Guilde | Talk | AI Launchpad 2025: Guilde GenAI & agents | — |
| Jonathan Jin | Hinge | Talk | Trimming the Long Tail of Production Model Ownership at Hinge ML & MLOps | — |
| Jonathan Mortensen | Confident Security | Talk | The Unofficial Guide to Apple’s Private Cloud Compute Governance & security | — |
| Joseph E. Gonzalez | RunLLM | Talk | AGI Is Already Here (But It's Not What You Think) GenAI & agents | — |
| Joseph E. Gonzalez | RunLLM | Talk | RAGs to Riches: Engineering the Future of LLM Systems GenAI & agents | — |
| Joseph Powers | Intuit | Talk | Going Bayes: Shifting our Testing Methods to Reflect our Priorities Data science | — |
| Joseph Powers | Intuit | Talk | Going Bayes: Shifting Our Testing Methods To Reflect Our Priorities Data science | — |
| Josh Curl | Hightouch | Talk | Bridging the AI Implementation gap: Strategies for Embedding Data Professionals with Business Units Strategy & culture | — |
| Julian Hyde | Talk | More Than Query: Future Directions of Query Langages, from SQL to Morel Database internals | — | |
| Julien Le Dem | Datadog | Talk | The Deconstructed Database and the Advent of the Open Data Lake Warehouse & lakehouse | — |
| Karen Hsieh | Recce | Talk | Data Engineering Is Not Software Engineering, Until It Is Data engineering | — |
| Krishnaram Kenthapadi | Oracle | Talk | Guardrails for the Future: AI Safety and Responsible AI in Practice GenAI & agents | — |
| Lindsay Murphy | Hiive | Talk | No More BS: How (and When) to Really Leverage AI GenAI & agents | — |
| Lloyd Tabb | Meta | Talk | Building Blocks: Advanced Semantic Data Model Layering BI & semantic layer | — |
| Madison Faulkner | NEA | Panel | The Future of Data Engineering in the Agent Era Data engineering | — |
| Marcel Kornacker | Pixeltable | Talk | Introducing Pixeltable: Open Source Data Infrastructure for Multimodal AI ML & MLOps | — |
| Marck Vaisman | Microsoft | Talk | Revolutionize AI Engineering With Autogen GenAI & agents | — |
| Marco Slot | Crunchy Data | Talk | Converging Database Architectures: DuckDB in PostgreSQL Database internals | — |
| Marek Galovic | TopK | Talk | AI Launchpad 2025: TopK GenAI & agents | — |
| Martin Casado | a16z | Talk | Real-Time Data Infrastructure and AI: Powering the Next Generation of Analytics Streaming | — |
| Michael Cohen | PLUS | Talk | The Art of Data: Reimagining Creative Processes with Data Culture Strategy & culture | — |
| Michele Catasta | Replit | Talk | RAGs to Riches: Engineering the Future of LLM Systems GenAI & agents | — |
| Mickey Liu | Notion | Talk | Billion-Scale Vector Search on Object Storage Operational databases | — |
| Mike Driscoll | Rill Data | Talk | A SQL-Based Metrics Layer for DuckDB and Clickhouse BI & semantic layer | — |
| Mitul Tiwari | Stealth | Talk | TapeAgents: A Powerful Framework For Building And Optimizing AI Agents GenAI & agents | — |
| Natacha Crooks | UC Berkeley | Talk | From Concurrency Control to Concurrent Scheduling Database internals | — |
| Nathan Sooter | 1Password | Talk | Go-To-Market Data Enrichment: Practical Strategies to Drive Business Value Strategy & culture | — |
| Naveen Rao | Databricks | Talk | Data Meets Intelligence: Where the Data Infra & AI Stack Converge Warehouse & lakehouse | — |
| Nikita Vemuri | Anyscale | Talk | From Scaling to Observability: Solving Key Challenges for Distributed ML with Ray ML & MLOps | — |
| Niko Grupen | Harvey | Talk | Legal Agency: Building Domain-specific Agents for Enterprise GenAI & agents | — |
| Nikunj Handa | OpenAI | Talk | OpenAI’s Responses API: A New Foundation for Building with Models & Tools GenAI & agents | — |
| Nuno Campos | LangChain | Panel | The Future of Data Engineering in the Agent Era Data engineering | — |
| Ofer Mendelevitch | Vectara | Talk | Building Enterprise Agentic RAG Applications with Reduced Hallucinations GenAI & agents | — |
| Ori Soen | Montara | Talk | Analytics and the Dark Side of the Analytics Development Lifecycle Strategy & culture | — |
| Oriol Mirosa | Brooklyn Data Co | Talk | Data Governance is NOT the Governance of Data! Governance & security | — |
| Paige Bailey | Talk | Introduction to Google DeepMind's Models: Gemini 2.0, Imagen 3, and Veo GenAI & agents | — | |
| Parham Parvizi | Prospective | Talk | A Local-First approach to extremely fast Streaming Visualization BI & semantic layer | — |
| Paul Dix | InfluxData | Talk | Building InfluxDB 3 Core: A Real-Time Columnar DB and Data Processor on Object Storage Database internals | — |
| Pedram Navid | Dagster Labs | Talk | Write Less More: How Dagster Rebuilt Our Docs from the Ground Up Orchestration | — |
| Pranav Aurora | Mooncake Labs | Talk | AI Launchpad 2025: Mooncake Labs Other | — |
| Rachad Alao | Meta | Talk | Guardrails for the Future: AI Safety and Responsible AI in Practice GenAI & agents | — |
| Rachel Lee Nabors | Meta | Talk | AI Cram Session GenAI & agents | — |
| Ravin Kumar | Talk | Models as Tools: My Perspective On the Matter GenAI & agents | — | |
| Rui Lopes | Datalinks | Talk | Powering AI Workflows with Tabular Graphs GenAI & agents | — |
| Ryan Blue | Databricks | Talk | Why is Everyone Talking about Apache Iceberg™? (From the Original Creator of Apache Iceberg) Warehouse & lakehouse | — |
| Saif Ur-Rehman | Basecamp Research | Talk | Engineering Earth's Largest Biological Data Pipeline Data engineering | — |
| Samuel Colvin | Pydantic | Talk | Pydantic: An Opinionated Blueprint for the Future of GenAI Applications GenAI & agents | — |
| Schuyler Brown | Guilde | Talk | AI Launchpad 2025: Guilde GenAI & agents | — |
| Serhii Sokolenko | Tower | Talk | AI Launchpad 2025: Tower Other | — |
| Sharon Zhou | Lamini | Talk | RAGs to Riches: Engineering the Future of LLM Systems GenAI & agents | — |
| Shreya Rajpal | Guardrails AI | Talk | The Future Of Guardrails Data quality & observability | — |
| Simon Hørup Eskildsen | turbopuffer | Talk | Billion-Scale Vector Search on Object Storage Operational databases | — |
| Skip Everling | Kolena | Talk | AI-Powered Automation: Supercharge Data-Intensive Workflows with Intelligent Agents GenAI & agents | — |
| Skyler Thomas | Cake AI | Talk | Make Too Much Knowledge Just Enough. Massive Scale RAG and GraphRAG with Open Source GenAI & agents | — |
| Stefania Olafsdóttir | Avo | Talk | Data Mesh: Buzzword or the Right Guide Towards a Tactical Recipe to Improve Event-Data Quality? Data quality & observability | — |
| Sudarshan Lakshminarasimhan | e6data | Talk | Everything Everywhere All at Once: Object Store Native Warehouse & lakehouse | — |
| Sumedh Sakdeo | Talk | Optimizing Iceberg Table Layouts at Scale: A Multi-Objective Approach Warehouse & lakehouse | — | |
| Sumti Jairath | SambaNova | Talk | Bringing Trillions to Reality: How SambaNova’s Memory-Centric Design Powers Agentic AI and GenAI Workflows for Enterprise Data GenAI & agents | — |
| Tanya Bragin | ClickHouse | Talk | Unbundling of the Cloud Data Warehouse Warehouse & lakehouse | — |
| Tengyu Ma | Voyage | Talk | RAG In 2025: State Of The Art And The Road Forward GenAI & agents | — |
| Timothy Chan | Statsig | Talk | Unlocking A/B Testing For B2B Data science | — |
| Tobias Lunt | Development | Talk | Putting Data to Work for Global Urban Development Other | — |
| Tomás Kofman | Not Diamond | Talk | How to Build Your Own Model Router ML & MLOps | — |
| Vignesh Chadramohan | DoorDash | Talk | Internals of SlateDB: An Embedded Key-Value Store Built on Object Storage Database internals | — |
| Vishnu Vasanth | e6data | Talk | Everything Everywhere All at Once: Object Store Native Warehouse & lakehouse | — |
| Wenjing Zheng | Roblox | Talk | Causal Inference Methods for Bridging Experiments and Strategic Impact Data science | — |
| Willem Pienaar | Cleric | Talk | Chaos By Design: Simulation Based Testing for AI Agents GenAI & agents | — |
| Yusuf Ozuysal | Snowflake | Talk | AI Your Way with All-In-One Access GenAI & agents | — |
| Zhou Sun | Mooncake Labs | Talk | AI Launchpad 2025: Mooncake Labs Other | — |