IDUG NA 2026

Db2 professionals manage complex and mission-critical data environments where troubleshooting, performance analysis, and knowledge discovery can be time-consuming. In this session, we explore how GenAI can assist Db2 professionals by helping understand database structures, maintain environments and accelerate problem diagnosis. Through practical examples, we demonstrate how AI can act as a partner, augmenting expertise and helping teams work more efficiently while maintaining the reliability expected from enterprise Db2 systems.

SQL Data Insights (SQL DI) in Db2 13 for z/OS brings built‑in AI directly into the database, enabling organizations to discover patterns, detect anomalies, and generate insights using familiar SQL—without moving data or building complex pipelines.
This session provides practical guidance on getting started with SQL DI, beginning with Db2 instrumentation data as a high‑value entry point. It will also demonstrate how to extend insights by ingesting VSAM data through Data Virtualization Manager.
In addition, the session highlights recent SQL DI enhancements, including a unified embedding model, SQL-based AI access, and incremental training capabilities—enabling teams to seamlessly embed AI into existing Db2 workflows.
The session concludes with an overview of Industry Starter Kits, featuring prebuilt datasets, vector tables, and AI queries that accelerate adoption and help organizations quickly realize high‑value use cases.