From Data 2.0 to Data 3.0: Making Data Autonomous for AI(Keynote)
summary
Claims a new runtime abstraction called Data 3.0 that packages data plus computation into autonomous data products which run, self-orchestrate, enforce governed-as-code contracts at runtime, and expose intent-aware discovery APIs. It replaces weeks-or-months pipeline churn with machine-speed availability for agents, adapts to any storage/compute via drivers, and already underpins Nextdata OS (demo scheduled 11:00) with plans to open-source runtime and interface specs early next year.
AI-written summary · about
chapters (7)
- 0:00Introduction and challenge
- 3:01Why Data 3.0 is needed
- 8:59Autonomous data products concept
- 13:35Example of autonomous data product
- 16:51Key shifts in Data 3.0
- 19:43Bottom line and call to action
- 21:35Q&A on human roles in Data 3.0
related talks
10mThe game-changing future for Data and AI
01mSOFTWARE 2.0 NEEDS DATA 2.0
15mMapping the Future of Data & AI
26mTrends Shaping The Next Decade In Data
10mBig Data 3.0
38mData Mesh, Now
39mData Mesh: Why, What and How
14mSoftware 2.0 Needs Data 2.0: A New Way of Storing and Managing Data for Efficient Deep Learning
