Keynote on the "AI for Data" Revolution
summary
Oracle announces Oracle AI Database 26ai with a new AI Vector type and millisecond vector search, automated RAG, in-database AI agents and an SQLcl MCP Server that works back to 19c; a schema annotation framework and Select AI enable natural-language SQL; Autonomous AI Lakehouse adds Apache Iceberg support, Exadata caching and federated queries; AI Data Platform ships with a Developer Workbench, Agent Studio and Agent Hub, shows demos (churn predictor, regulation monitor), customer pilots (UCD, Clopay) and general availability now with some Hub features due within 12 months.
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chapters (45)
- 0:00The AI Revolution and Data
- 1:11Juan Loaiza Introduction & Strategy
- 3:03Oracle Database: Open Standards & Converged Architecture
- 4:07Three Pillars: AI + Data, App Dev, Open Standards
- 5:13Launching Oracle AI Database 26ai
- 6:48AI Vectors: Vector Search in Databases
- 9:09Combining Vector Search & Business Data
- 12:03Automated RAG and Customer Testimonials
- 14:06AI Agents and In-Database Workflows
- 15:43Demo: SQLcl MCP Server and LLM Integration
- 18:20AI Agents: Beyond Database Data
- 19:27AI Chatbot Assistants for Database Management
- 20:13AI-Driven Data Development Workflow
- 23:33Annotating Schemas & Data for AI
- 24:27Select AI: Natural Language Database Access
- 25:57Built-In Capabilities & Mission-Critical Features
- 26:32Recap: Oracle AI Database Advancements
- 26:59AI App Dev: GenDev and Enterprise Trust
- 29:16Data-Level Trust: Correctness, Privacy, and APIs
- 31:52Solving Data Privacy with Database Enforcement
- 34:49Application-Level Risks: Trusted Answer Techniques
- 36:30Trusted Answer Search & APEX Interactive Reports
- 40:06Generative Application Development with APEX
- 43:14Open Standards and Oracle AI Lakehouse
- 44:39AI Proxy Database and Federated Queries
- 45:41Announcing Support for Apache Iceberg
- 47:27Oracle Autonomous AI Lakehouse Benefits
- 49:32Unified Data Discovery and Real-Time ETL
- 50:30Unified AI Capabilities Across Data Environments
- 51:04Introducing the Oracle AI Data Platform
- 51:54TK Anand Overview: AI Data Platform
- 53:15Data Foundation and Enterprise-Ready AI
- 54:37Data Engines, Developer Workbench, and Integrated Experience
- 56:09Getting Data Ready: Medallion Architecture
- 58:55Unified Workbench and Collaborative Development
- 1:01:03Demo: Automated Churn Prediction Workflow
- 1:02:07Integrated AI Models, Frameworks & Agent Studio
- 1:03:27Demo: Agent Studio Government Regulation Monitor
- 1:05:53Unified Catalog and Agent Hub for Business Users
- 1:07:49Demo: Agent Hub Orchestrates Cross-Org Tasks
- 1:09:48Product Status, Customer Impact & Industry Adoption
- 1:10:34Customer Spotlights: UCD and Clopay
- 1:13:19Global Partner Commitments & Use Cases
- 1:19:17Tailored Data Platform for SaaS
- 1:20:07Final Recap & Call to Action
