IDUG EMEA 2026

Standard Text-to-SQL tools fail when they hit the complexity of enterprise Db2 schemas. This hands-on session demonstrates how to transition from basic prompting to Agentic AI - creating an autonomous "Query Guard" that reasons, acts, and fixes its own mistakes.We will build an agent capable of navigating the Db2 lifecycle independently.You will learn to architect a Agent that doesn't just error out, but proactively traps SQLCODEs, autonomously queries the Db2 Catalog to resolve schema mismatches, and refactors its own SQL on the fly.
Attendees will leave with a functional blueprint for an agent that transforms Db2 from a passive subsystem into a resilient, self-healing partner. This will be an hands on Session so attendes will learn to create agents around DB2

Db2 and IMS database administrators on IBM Z are increasingly expected to support modern, AI‑enabled business initiatives while continuing to manage complex, mission‑critical transactional environments. Traditional operational workflows—often manual and reliant on deep individual expertise—can limit consistency and scalability as systems evolve.
This session introduces IBM Z Database Assistant, which brings agent‑assisted intelligence into Db2 and IMS administration. By combining DBA‑centric AI agents with context‑driven dashboards, the Database Assistant helps DBAs better understand database behavior, evaluate operational impact, and take informed actions—reducing the need for manual interpretation across multiple tools.
Attendees will see how natural language interaction can simplify common DBA tasks, how intelligent SQL tuning can improve transactional workload efficiency, and how AI agents can assist with faster problem diagnosis across Db2 and IMS environments.