IDUG NA 2026

When a Db2 or IMS issue occurs, resolution often relies on time-critical manual analysis. This session explores how agentic AI is evolving the operational model for IMS and Db2—moving beyond scripted automation toward more adaptive, AI-assisted approaches for handling complex runtime scenarios. Through a live demo grounded in real client feedback from a large financial services organization, we demonstrate how these approaches can reduce time to resolution and improve operational efficiency. We also examine how AI-assisted decisioning can support routine maintenance, ensuring actions are recommended within defined rules, governance boundaries, and measurable value.
Co-presented with Anshul Agrawal, this technically focused session will also be submitted to IBM TechXchange.