AI-Powered Db2® and IMS™ Operations: Faster Investigation, Smarter Workflows

Speakers

Chad Reiber Sr Principal Solution Engineer, BMC Software

John O'Dowd Principal Product Manager, BMC Software

John Barry
Principal Product Manager, BMC Software

Cristina Suchland
Sr Solution Marketing Manager, BMC Software

event summary

AI is reshaping mainframe operations from reactive support to intelligent automation

As enterprise systems grow more complex and experienced talent retires, organizations are turning to AI to augment expertise and reduce operational burden. This discussion explores how intelligent assistants, agent-based workflows and embedded knowledge systems can help mainframe teams work more proactively, accelerate investigations and improve operational resilience.

core insights

From institutional knowledge to intelligent operations

The discussion centered on how AI can help organizations address growing operational complexity while making specialized expertise more accessible.

1

Bridging the mainframe skills gap

As experienced practitioners leave the workforce, organizations face increasing pressure to preserve critical knowledge. AI-powered assistants can capture expertise, provide contextual guidance and help newer professionals become productive more quickly

2

Moving from reactive support to proactive operations

Many database and operations teams spend a significant amount of time responding to routine issues and incidents. AI-driven analysis enables faster identification of problems, quicker root-cause investigation and reduced resolution times.

3

Connecting insights across operational silos

Performance, monitoring, recovery and database information often reside in separate tools. AI agents can analyse multiple sources simultaneously, helping teams understand relationships between issues and make better-informed decisions.

AI is becoming more valuable as a decision-support capability than as a simple question-and-answer tool. By embedding intelligence into daily workflows, organisations can scale expertise, improve consistency and reduce manual investigation effort.

Key takeaways:

  • Capture institutional knowledge before critical expertise leaves the organisation.
  • Reduce repetitive operational work through intelligent assistance and guided workflows.
  • Improve incident response by correlating information across multiple operational systems.
  • Embed AI capabilities within existing tools and environments to support day-to-day work.
  • Collaborate with technology partners to shape AI initiatives around real operational challenges.

“We can't afford to keep fighting fires”

 

John Barry, BMC

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