Databricks Announces 2025 Data + AI Summit Keynote Lineup and Data Intelligence Programming
The Data Intelligence for All themed event will feature keynotes from co-founders Ali Ghodsi, Matei Zaharia, Arsalan Tavakoli-Shiraji and Reynold Xin
Attendees will hear from Jamie Dimon, Chairman and CEO, JPMorgan Chase; Dario Amodei, Co-founder and CEO, Anthropic; and Satya Nadella, Chairman and CEO, Microsoft
SAN FRANCISCO, May 22, 2025 /PRNewswire/ -- Databricks, the Data and AI company, today announced the full agenda and lineup of featured speakers for this year's Data + AI Summit, a global event for the data and AI community. From June 9-12, more than 20,000 data and AI practitioners, leaders, and visionaries from over 160 countries are expected to convene, both at San Francisco's Moscone Center, and tens of thousands more virtually, to discover the latest developments in generative AI, machine learning, analytics and data governance, alongside Databricks' latest product innovations. This year's Summit underscores Databricks' deep and ongoing commitment to San Francisco, building on the company's recent announcement to invest $1 billion into the city over the next three years. Tickets are still available; register here to join data leaders, open source enthusiasts as well as Databricks customers and partners.
Data + AI Summit will feature keynotes from Databricks co-founders — and the original creators of Apache Spark, Delta Lake, MLflow, and Unity Catalog — Ali Ghodsi, Matei Zaharia and Reynold Xin. Attendees will also hear from a broad lineup of data and AI luminaries, open source pioneers and global thought leaders, including:
- Jamie Dimon, Chairman and CEO, JPMorgan Chase
- Dario Amodei, Co-founder and CEO, Anthropic
- Satya Nadella, Chairman and CEO, Microsoft, in a pre-recorded, virtual fireside chat
This year's theme, Data Intelligence for All, will showcase how every organization can harness the power of data to develop its own AI apps and agent systems. Attendees can expect to hear from top experts, researchers and open source contributors as they share actionable best practices and compelling insights about their data journeys. Highlights include thought-provoking sessions from data leaders from pioneering companies like Adobe, Apple, AT&T, Block, Doordash, Doctors Without Borders, GM, Joby, Mastercard, Meta, NVIDIA, SAP, Unilever, U.S. Department of Veterans Affairs, Virgin Atlantic and Walmart.