I used AI to plan out my AI World. Here’s how I did it
If you’re interested in a database-focused week at AI World, here’s the itinerary it generated.
Schedule
Sunday, October 25 · Preconference
From Vector Search to Private Agent Factory: Enterprise AI on Oracle AI Database
OUT1012Full-day trainingBuild from vector embeddings and similarity search into RAG with PL/SQL and LangChain, then explore Private Agent Factory and MCP. This is the strongest match for database-native AI.
Monday, October 26
DBA in the Driver’s Seat: Operating Autonomous AI Database
LRN6044Learning sessionPractical DBA concerns: access, sensitive data, performance, workloads, continuity, and resource use.
Oracle: Where AI Means Business
KEY1037KeynoteOpening keynote on Oracle’s AI direction, with demonstrations and customer examples. No schedule clash.
Your First Enterprise Agent Needs More Than a Prompt: Build It with Select AI
HOL6022Hands-on labUse Select AI Agent Framework with PL/SQL and Python APIs to create tools, tasks, and agents, with context retention and permission-based sharing.
Bringing AI to Exadata: Performance, Simplicity, and Scale
LRN6031Technical sessionExadata architecture and performance for AI workloads, including AI Smart Scan, XRMEM, NVMe Flash, RoCE networking, and Exascale.
Open time for lunch, notes, and room changes.
The MCP lab is a useful alternative to the 3:15 Exadata session; see swaps below.
Tuesday, October 27
Customer Panel: How Customers Diagnose Database Performance with AI
LRN6038Customer panelReal-world AWR data, SQL monitoring, tuning, AWR.ai, and SQLPerf.ai. Allow 15 minutes to get to the keynote.
Now That AI Works, What Are We Going to Do With It?
KEY2537KeynoteKeynote on what AI changes in development, data, security, and infrastructure—and where fundamentals still matter.
AI Designed My Database. How Did It Go?
LRN6008Technical sessionMove from an LLM-generated schema to production by validating, optimizing, and evolving the design for real workloads.
Migrations to Oracle AI Database 26ai: Choosing the Right Path
LRN6052Demo-drivenCompare practical migration paths and tools, including Data Pump, Transportable Tablespaces, AutoMigrate, Migration Workbench, CPAT, and AutoUpgrade.
Build a Product Recall Assistant Using Oracle AI Database
HOL6018Hands-on labBuild an AI workflow combining JSON documents, vector search, graph relationships, operational data, and access controls in one database environment.
Oracle Vision and Strategy
KEY2535KeynoteOracle’s forward-looking AI and technology keynote. It fits after the lab with time to spare.
Wednesday, October 28
Be Your Database’s First Line of Defense: Hands-On Security with Data Safe
HOL6066Hands-on labAssess database security, classify and mask sensitive data, and configure SQL Firewall.
Ask Your Database Fleet What’s Wrong: Hands-On Enterprise Manager 24ai
HOL6014Hands-on labTry the AI Database Assistant, natural-language fleet queries, Event Compression, Dynamic Runbooks, and monitoring dashboards.
Lunch and buffer
Time to change rooms before the afternoon session.
Oracle AI Database@Azure: Real-World Multicloud Patterns from an Oracle ACE
THR6094Technical sessionPractical architecture lessons on Microsoft Foundry agents, a read-only MCP layer, network topology, security controls, and multicloud integration.
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