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Speaker applications are open until January 16, 2026. Share the stage with engineers and technical leaders building the future of AI.
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Experts Defining the AI Frontier
AI Council features the technical pioneers shaping the AI ecosystem.
- Data Eng & Infrastructure
- Keynotes
- Keynotes
- Keynotes
- Data Eng & Infrastructure
Ryan Blue is the original creator of Apache Iceberg and currently serves as Vice President of the project. With over a decade in data engineering, he's an established expert in big data formats and infrastructure. Currently a Member of Technical Staff at Databricks since June 2024, Ryan previously co-founded and served as CEO of Tabular until its acquisition by Databricks. His career includes senior positions at Netflix and Cloudera, where he was a technical lead for data formats. An Apache Software Foundation member since 2017, he's a committer in the Apache Parquet, Avro, and Spark communities and previously served as VP of Apache Avro. Ryan holds dual Bachelor's degrees in Mathematics and Computer Science from the University of Idaho and a Master's in Computer Science from the University of Maryland.
- Keynotes
- Foundation Models
Ethan Rosenthal is a Member of Technical Staff at Runway, an applied AI research company focused on multimedia content creation, where he builds engineering systems to accelerate the work of research scientists. His career spans diverse roles across AI, machine learning, and data science - from training language models at Square to developing recommendation systems at seed-stage ecommerce startups. Before working in tech, Ethan was an actual scientist and got his PhD in experimental physics from Columbia University.
- Keynotes
- Analytics & BI
Mike has spent over two decades as a technologist, entrepreneur, and investor. He’s currently co-founder and CEO of Rill, a cloud service for operational intelligence. Previously he founded Metamarkets (acquired by Snap, Inc. in 2017), a real-time analytics platform for digital ad firms, and CustomInk.com a leader in custom apparel online. Mike was also a founding partner at the venture capital firm DCVC, which has invested over $2B+ in assets in deep tech. He began his career as a software engineer for the Human Genome Project and later received a Ph.D. in computational biology.
- Keynotes
- Keynotes
- Keynotes
- GenAI Applications
- Keynotes
- Keynotes
- Lightning Talks
- Databases
- Databases
- AI Engineering
- Data Eng & Infrastructure
- GenAI Applications
Mitul Tiwari is CTO and Co-founder of a stealth AI startup. Until recently he was a Director of AI and Machine Learning Engineering at ServiceNow leading natural language technologies group. Earlier he was CTO and Co-founder of Passage AI (acquired by Servicenow). His expertise lies in building data-driven products using AI, Machine Learning and big data technologies. Previously he was head of People You May Know and Growth Relevance at LinkedIn, where he led technical innovations in large-scale social recommender systems. Prior to that, he worked at Kosmix (now Walmart Labs) on web-scale text categorization, and its applications. He earned his PhD in Computer Science from the University of Texas at Austin and his undergraduate degree from the Indian Institute of Technology, Bombay. He has also co-authored more than twenty publications in top conferences such as ACL, AAAI, KDD, WWW, RecSys, VLDB, SIGIR, CIKM, and SPAA.
- Data Sci & Algos
- GenAI Applications
- Workshops
- AI & Data Culture
- ML OPs & Platforms
- Lightning Talks
- AI Engineering
- Data Eng & Infrastructure
- Data Eng & Infrastructure
- Data Eng & Infrastructure
- Data Eng & Infrastructure
- Data Eng & Infrastructure
- Lightning Talks
- AI & Data Culture
- Data Eng & Infrastructure
- Keynotes
- Keynotes
- Keynotes
- Data Eng & Infrastructure
Ryan Blue is the original creator of Apache Iceberg and currently serves as Vice President of the project. With over a decade in data engineering, he's an established expert in big data formats and infrastructure. Currently a Member of Technical Staff at Databricks since June 2024, Ryan previously co-founded and served as CEO of Tabular until its acquisition by Databricks. His career includes senior positions at Netflix and Cloudera, where he was a technical lead for data formats. An Apache Software Foundation member since 2017, he's a committer in the Apache Parquet, Avro, and Spark communities and previously served as VP of Apache Avro. Ryan holds dual Bachelor's degrees in Mathematics and Computer Science from the University of Idaho and a Master's in Computer Science from the University of Maryland.
- Keynotes
- Foundation Models
Ethan Rosenthal is a Member of Technical Staff at Runway, an applied AI research company focused on multimedia content creation, where he builds engineering systems to accelerate the work of research scientists. His career spans diverse roles across AI, machine learning, and data science - from training language models at Square to developing recommendation systems at seed-stage ecommerce startups. Before working in tech, Ethan was an actual scientist and got his PhD in experimental physics from Columbia University.
- Keynotes
- Analytics & BI
Mike has spent over two decades as a technologist, entrepreneur, and investor. He’s currently co-founder and CEO of Rill, a cloud service for operational intelligence. Previously he founded Metamarkets (acquired by Snap, Inc. in 2017), a real-time analytics platform for digital ad firms, and CustomInk.com a leader in custom apparel online. Mike was also a founding partner at the venture capital firm DCVC, which has invested over $2B+ in assets in deep tech. He began his career as a software engineer for the Human Genome Project and later received a Ph.D. in computational biology.
- Keynotes
- Keynotes
- Keynotes
- GenAI Applications
- Keynotes
- Keynotes
- Lightning Talks
- Databases
- Databases
- AI Engineering
- Data Eng & Infrastructure
- GenAI Applications
Mitul Tiwari is CTO and Co-founder of a stealth AI startup. Until recently he was a Director of AI and Machine Learning Engineering at ServiceNow leading natural language technologies group. Earlier he was CTO and Co-founder of Passage AI (acquired by Servicenow). His expertise lies in building data-driven products using AI, Machine Learning and big data technologies. Previously he was head of People You May Know and Growth Relevance at LinkedIn, where he led technical innovations in large-scale social recommender systems. Prior to that, he worked at Kosmix (now Walmart Labs) on web-scale text categorization, and its applications. He earned his PhD in Computer Science from the University of Texas at Austin and his undergraduate degree from the Indian Institute of Technology, Bombay. He has also co-authored more than twenty publications in top conferences such as ACL, AAAI, KDD, WWW, RecSys, VLDB, SIGIR, CIKM, and SPAA.
- Data Sci & Algos
- GenAI Applications
- Workshops
- AI & Data Culture
- ML OPs & Platforms
- Lightning Talks
- AI Engineering
- Data Eng & Infrastructure
- Data Eng & Infrastructure
- Data Eng & Infrastructure
- Data Eng & Infrastructure
- Data Eng & Infrastructure
- Lightning Talks
- AI & Data Culture
Take the Stage at AI Council
Join a lineup of world-class builders and tech leaders presenting real frameworks and insights to the most technical AI community in the world.
TECHNICAL DEPTH
We look for talks that go beyond surface-level overviews. Show us your architectural decisions, tradeoffs and reasonings behind your approach.
PRODUCTION INSIGHTS
Theory is easy; shipping is hard. We want to hear what you learned building systems that actually run at scale.
INNOVATIVE APPROACHES
If you've solved an infra or tooling problem in a novel or unexpected way, this is the audience that will appreciate it.
Evaluation Criteria: Talks are judged on technical rigor, speaker expertise, and relevance to our audience of builders.
Vendors are welcome, but talks should be presented by an engineer to explain how your product/tool is built, not simply a product walkthrough. For sponsored workshop opportunities, please contact community@aicouncil.com.
Why Speak at AI Council?
Publish Strong Ideas
When you speak here, you're getting validation from peers who can tell the difference between substance and fluff. That credibility carries weight for both you and your company.
Join an Elite Network
AI Council features past speakers from OpenAI, Anthropic, Databricks and more. If selected, you'll also get access to our exclusive VIP parties to make real connections with founders and industry leaders.
Amplify Your Impact
Your talk is professionally recorded and published online. Share it with leadership, use it to build credibility or let it spark conversations about your work for years to come.
Past AI Council Talks
Ideas That Become Industry Standard
Billion-Scale Vector Search on Object Storage
Simon Hørup Eskildsen, Co-Founder, turbopuffer
Mickey Liu, Software Engineer, Notion
The Future of Data Engineering in a Post-AI World
Michelle Ufford Winters, Distinguished MTS - Data & Analytics, eBay (ex- Netflix, GoDaddy, Noteable)
Data Meets Intelligence: Where the Data Infra & AI Stack Converge
Naveen Rao | VP of AI, Databricks
George Mathew | Managing Director, Insight Partners
What Every Data Scientist Needs To Know About GPUs
Charles Frye, Developer Advocate, Modal Labs
Wes McKinney: The Future Roadmap for the Composable Data Stack
Wes reviews the progress we have made in the last 10 years developing composable, interoperable open standards for the data processing stack
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Dhruv Singh: Strategies for Assessing LLMs in Real-World Applications
Dhruv discusses practical solutions that will unlock faster iteration & more safety in GenAI, such as using tiny evaluators in an online setting & making efficient use of human feedback offline.
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DJ Patil & Joey Gonzalez: Why it Takes Billions
DJ Patil and Joey Gonzalez discuss how to navigate the AI landscape with OpenAI, Google, Nvidia and Everyone Else with Billions to Spare
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Dan Mejia & Michael Bullington: the Journey to FigJam AI
Learn about the unique development process of FigJam AI, from the inception at a hackathon to fine-tuning for specific use cases.
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Pete Hunt: Why You’ve Been Thinking About the Wrong DAG the Entire Time
Pete explains how declarative orchestration goes beyond improved developer ergonomics: it has profound consequences for the entire data platform.
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Jordan Tigani: Big Data is Dead
Jordan makes the case that the era of Big Data is over. Now we can stop worrying about data size and focus on how we’re going to use it to make better decisions.
Watch Now