Discover how IBM Z OMEGAMON AI Insights uses Predictive AI and machine learning models to detect anomalies and improve system performance, capacity and cost controls—without needing ML expertise.

GA Version 2.2.0 - November 14, 2025

(5min read)

In a Nutshell

Ever spent days chasing a performance issue that turned out to be a silent CPU spike? A situation where static thresholds creates too many false positive or maintenance? IBM Z OMEGAMON AI Insights 2.2.0 brings Predictive AI to your mainframe monitoring team. As a copilot, working in pair with Grafana, it helps you detect performance issues early—like CPU spikes or slow response times—without needing to be a data scientist. Notifications and automation now at your fingertips thanks to webhooks!

This blog breaks down how it works and what it means for your operations.

🔍 Explore Real Use Cases - See how others are using OMEGAMON AI to solve real problems

 IBM Z OMEGAMON AI Insights 2.2.0 Use Cases Summary 

What Problems Does It Solve?

• Small, long lasting performance issues that go unnoticed
• Manual threshold tuning that doesn’t adapt to changing workloads
• Noise from static monitoring rules and false positives
• Alert visibility and actionable insights slowing down resolution time and automation
• Hidden anomalies in CPU Time, Network traffic, CICS activity, and more...

How Does It Help?

• Dynamic baselines: Learns normal patterns and seasons from historical data
• Real-time notifications: Flags and notify out of bounds anomalies through webhooks
• Control: Feedback loop, flexible alert rules and policies to enhance forecasts and reduce noise
• Visual clues: Clearly highlight spikes, activity shifts, broken patterns and slow drifts
• Explainability: Alerts and visuals you can trust, with built-in logic and runbooks to bridge the skill gap
• Cost effective: Predictive AI, curated use cases, tailored to contain footprint and maximize your ROI
• Seamless integration: AI infused in your existing environment on Linux on Z, zCX and x86-64

Real-World Example

We took few weeks to detect CPU overconsumption manually. With OMEGAMON AI Insights, the issue was flagged on day one, saving up to €60,000 per incident.— Mainframe Domain Lead, Large European Bank 

In many installations it will be difficult to implement functions to build and train AI-models covering the workload, so we welcome a solution like OMEGAMON AI Insights that will discover anomalies in Db2 on z/OS on the fly – thus giving us the possibility to solve problems before these impacts the end users experience..  

— Frank Petersen, Lead Domain Architect, Bankdata 

FAQs or Common Pitfalls

Do I need to know machine learning?

No. The AI models are built-in and work out of the box. All you need is customize the alerting layer to your organisation.

What’s the difference between AI Insights and traditional monitoring?

AI Insights use dynamic thresholds based on historical data. Traditional monitoring uses static rules that don’t adapt. But OMEGAMON AI stays complementary to OMEGAMON Situations, bringing along with Grafana some more dynamic thresholds.

Can I customize what’s considered an anomaly?

Yes. You can tune the alerting layer to reduce noise and focus on what matters, control the models' predictions through a feedback loop and a curated set of comprehensive parameters.

Final Thoughts

Today’s IT-landscape is getting more and more complex by the day. This combined with the facts that systems need to be running 24*7 and that the workload is getting increasingly complicated, dictates that we can not rely entirely on human resources nor automation to ensure systems are running as the end users expect. We simply need to start to use AI to be able to discover if anomalies are starting to occur.

IBM Z OMEGAMON AI Insights anomaly detection is flexible and close to z/OS (Linux on Z, zCX, x86-64), lightweight containers, and doesn’t require external ingestion (Direct feed from ODP) — delivering faster time-to-value with minimal setup, switching from reactive to proactive monitoring.

We want to hear from you!
Have you faced hidden performance issues? Curious how AI could help you too?
👉 Share your story or request a demo today.

What next?

💬 Join the discussion on LinkedIn or IBM TechXchange AIOps Group, follow this article for updates and comment bellow

📖 Continue reading: Don't miss the complete set of Use Cases of IBM Z OMEGAMON AI Insights 2.2.0

👉 Share your own story: Customer Use Cases in IBM Idea Portal or related readings on OMEGAMON

🛠️ Explore the product: IBM Z OMEGAMON AI Insights official documentation and release note and Runbooks for Db2, CICS or z/OS.

#monitoring, #ArtificialIntelligence(AI), #IBMZ, #OMEGAMON, #AnomalyDetection

@Ash Mahay, @Jim Porell, @Anna Murray, @Fabien Gautreault