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Live demo: New use cases for using GenAI to analyze SMF in natural language
Contributor
Event Type
Technical Session
Tracks
Machine Learning/AI
Audience Levels
All Audiences
TimeMonday, August 1710:30am - 11:30am EDT
LocationRoom 305
DescriptionWhat if you could simply ask your SMF data a question — and get a real answer, instantly?

In this live demo session, we'll show you exactly that. Forget complex JCL, REXX scripts, or digging through complex record types. Using natural language, we'll walk through how you can query, analyse, and interpret SMF data in a way that feels less like coding and more like a conversation.

Whether you're chasing down a performance issue, investigating a batch job anomaly, or just trying to make sense of what your system was doing at 2am, this session will show you a faster, smarter way to get to the answers you need.

You'll see live, hands-on demonstrations of natural language queries against real SMF data — no smoke, no mirrors, just results. We'll cover what's possible today, where the technology is heading, and what it means for the day-to-day work of system programmers and IT operations teams.

If you've ever wished your mainframe could just tell you what's going on, this session is for you.

Key takeaways:
- See natural language SMF analysis in action via live demo
- Understand how AI can accelerate root cause analysis and performance investigation
- Discover how familiar questions can replace complex tooling and scripting