Keynote Day 1
summary
Keynote lays out three concrete enterprise GenAI problems: 85% of GenAI pilots not in production, fragmented data formats and lock‑in, and security/privacy across the entire data state. Specific fixes claimed: standardize on a Lakehouse with Delta Lake plus Project Uniform to bridge Iceberg, open sourcing Unity Catalog for governance and lineage, Mosaic AI for customer‑isolated model training and evaluation, a July 1 rollout of full serverless Databricks, and cited scale numbers like 16,000 onsite attendees and 4 exabytes/day to Delta.
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chapters (10)
- 0:00Conference overview
- 1:50Open source impact
- 5:21AI adoption challenges
- 9:56Lakehouse vision
- 13:04Delta Lake vs Iceberg
- 15:34Unity Catalog governance
- 18:48Data and AI access
- 22:39Mosaic AI platform
- 24:28Serverless expansion
- 27:56Closing and adoption








