Data + AI Summit Keynote 2026 | Day 1

Description

Watch the full keynote from day 1 of Data + AI Summit, the world’s largest data and AI conference. Databricks co-founders, product leaders, AI builders, and global business leaders unveil breakthrough product launches and the stories of organizations rewriting what's possible with AI. 1:41 Databricks Co-founder & CEO Ali Ghodsi welcomes attendees, customers, partners, and the ecosystem to Data + AI Summit 7:59 Is AGI here today? 10:12 AI doesn’t have an intelligence problem, it has a context problem 11:21 What it takes to get AI to work in the enterprise 19:29 Open table format unification 21:58 The agentic data foundation 31:16 Announcing Unity AI Gateway: multi-AI governance and cost control 36:45 AI and the context problem 38:50 Announcing Genie Ontology: a living context graph for your business 43:16 Announcing Genie One: the data-smart AI coworker 45:02 Announcing Genie Agents and Genie App Builder: build reusable agents and vibe code business apps 45:52 Genie Code: automate building data and ML pipelines 46:33 Genie ZeroOps: automate maintaining data and ML pipelines 48:27 Omnigent: a meta-harness of AI agents 49:20 An agent system of record, the future software stack 54:09 Lakewatch: an agentic SIEM built on the security lakehouse 55:58 Databricks to acquire Panther, a leading AI SOC platform 57:05 Announcing CustomerLake: the agentic CDP built on the Lakehouse 59:36 Genie: the new AI coworker that knows your business 1:00:59 Genie + context 1:07:29 How Genie Ontology works 1:11:20 Demo: Genie One 1:19:22 Genie One provides full co-work capabilities and is now GA 1:23:42 Magesh Bagavathi (Global Chief Data and AI Officer, PepsiCo) on AI transformation 1:31:15 A new era of agentic data engineering with Lakeflow 1:43:00 Announcing Genie ZeroOps: put data and AI operations on autopilot 1:57:37 Announcing Reyden: a breakthrough new engine for real-time workloads 2:06:22 Announcing Lakehouse//RT - real-time performance on a unified lakehouse 2:09:23 Nikita Shamgunov: Serverless Postgres for apps and agents 2:18:47 Fed Cohen Freue, EVP of AI & Data Operations at Mastercard, on standardizing on Lakebase 2:25:15 Greg Brockman, President and Co-Founder, OpenAI & Patrick Wendell Co-Founder and VP of Engineering, Databricks 2:42:45 Reynold Xin on solving the biggest database engineering challenge: how do we unify transactional and analytical data 2:47:45 Announcing LTAP: lake transactional/analytical processing architecture 2:50:01 Demo: Lakebase and LTAP and why you need to combine your transactional and analytical data 2:57:07 Product announcement recap Speakers: Ali Ghodsi, CEO and Co–Founder, Databricks Reynold Xin, Co-Founder and Chief Architect, Databricks Patrick Wendell, Co-Founder and VP of Engineering, Databricks Arsalan Tavakoli-Shiraji, Co-founder & SVP of Field Engineering, Databricks Greg Brockman, President and Co-Founder, OpenAI Fed Cohen Freue, EVP, AI & Data Operations, Mastercard Magesh Bagavathi, Chief Data & AI Officer, PepsiCo Nikita Shamgunov, VP, Engineering, Databricks Ken Wong, Sr. Director, Product Management, Databricks Bilal Aslam, Sr. Director of Product Management, Databricks Elise Georis, Senior Manager, Product Management, Databricks Holly Smith, DevRel, Databricks