Future of Data and AI
summary
Claims that Oracle stores AI vectors natively and runs Oracle 23ai vectors with vector indexes moved to storage for up to 30x faster search, combining vector and relational filters in as little as five SQL lines to match semantically related support tickets. Demonstrates JSON duality views that let table data be read/written as documents, reports Exadata X11M gains (up to 3.5x OLTP, 6.5x analytics), Exadata Exascale cloud elasticity, and adoption numbers like 71% Fortune Global 100 and 52% Fortune 100.
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chapters (8)
- 0:00Introduction
- 1:33Oracle’s converged data architecture
- 4:43Relational and JSON with duality views
- 7:59AI vectors in enterprise databases
- 14:31AI-optimized hardware and software
- 19:34Mission-critical breakthroughs
- 22:07Oracle’s autonomous data platform
- 23:50Key takeaways
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