Modern mainframe environments generate a constant stream of metrics, events, and alerts - but most lack the context needed to act quickly. The result: teams spend too much time chasing symptoms instead of solving real problems.

Teams don’t just need more alerts - they need a clearer path from detection to understanding and resolution.

In this Tech Talk, we’ll highlight newly available analytic alarms in BMC AMI Ops, which apply contextual AI to automatically detect issues based on past operational performance and system behavior - without relying on static thresholds. Embedded directly in the BMC AMI Ops UI monitoring workflows, these alarms help reduce noise and surface what actually matters.

We’ll also show how BMC AMI Ops Insight extends this with multivariate analysis and cross-domain correlation, helping teams move from “something is wrong” to understanding what is likely causing the issue - and what to do next.

You’ll see how this approach helps:

• Reduce alert noise by identifying meaningful anomalies based on system behavior
• Correlate signals across systems to speed up root cause analysis
• Provide clearer direction on what to do next for faster response

If you’re looking to cut through alert fatigue and respond with greater speed and confidence, this session will show how.

Speakers:

Rami Hadad, Principal Product Manager, BMC

Mike Robinson, Lead Product Manager, BMC

Steven Dzikowski, Senior Solution Engineer, BMC