IDUG EMEA 2026

Modern Db2 environments generate enormous amounts of operational data but turning that information into meaningful action remains a challenge. DBAs often spend valuable time determining what needs attention, understanding why performance patterns are changing, and prioritizing operational work.

This session demonstrates how Runtime Insights helps transform operational data into actionable intelligence. By providing visibility into workload behavior, usage patterns, and evolving application activity, Runtime Insights enables teams to move beyond reactive monitoring and make more informed, proactive decisions.

Attendees will learn how operational insight can be used to identify emerging trends, better understand application behavior, uncover optimization opportunities, and prioritize actions based on actual usage data rather than assumptions. We'll also examine how real-time business intelligence serves as a critical foundation for AI-enabled experiences, helping organizations combine trusted data, analytics, and domain expertise to support faster and more confident decision-making.

Whether your goal is improving performance, optimizing resources, or preparing for the future of AI-driven operations, this session will demonstrate how Runtime Insights helps turn working data into strategic advantage.

Attendee Takeaways

- Learn how Runtime Insights exposes workload and application behavior patterns.
- Discover ways to prioritize tuning and optimization activities based on actual usage data.
- Understand how operational intelligence supports proactive database management.
- See how Runtime Insights contributes to a trusted foundation for AI-enabled operations.

Organizations are eager to apply AI to improve mainframe operations, but many still struggle with fragmented information, inconsistent processes, and difficulty making expertise available when and where it is needed most.

This session explores how Db2 and IMS teams can turn operational data, performance history, and domain expertise into actionable guidance that supports faster problem resolution and more consistent decision-making. We'll examine why context matters, how organizations can reduce reliance on tribal knowledge, and what is required to make AI recommendations relevant, explainable, and useful in enterprise environments.

Through real-world examples, attendees will learn how operational intelligence helps teams improve resilience, accelerate onboarding, and make better decisions without sacrificing governance or human oversight.

Attendee Takeaways

- Reduce dependence on tribal knowledge by making expertise more accessible.
- Understand what makes AI recommendations trustworthy and actionable.
- Learn how operational intelligence supports resilience and faster problem resolution.
- Identify the governance and human-review practices needed for enterprise AI adoption.