Cloud-native alert volume has outpaced human triage, but more correlation rules, another observability tool, or reducing alert noise haven't solved the problem. That's because alerts aren't the beginning of the problem. They're the result of thousands of events that have already occurred. By the time an alert is generated, the opportunity to recognize emerging patterns, predict operational risk, and prevent incidents is already slipping away.


Modern CloudOps, SRE and DevOps teams need a different approach: understanding events before they become alerts, surfacing meaningful patterns before thresholds are crossed. Learn how to shift your attention upstream, in about 10 minutes instead of a traditional six-month proof of concept and see where events reveal patterns long before alerts exist.


In this webinar, Digitate's Robin Bennedict, Product Manager, and Abhijit Deshpande, Global Head – Ecosystems and Solutions, explain why event-centric operations represent a fundamentally different operating model. You'll learn why reducing alert noise is the wrong success metric, how predictive event intelligence identifies meaningful operational patterns before alerts fire, and why composite reasoning across system knowledge, AI, and operational context delivers insights that LLM-only approaches cannot.


The session concludes with a live demonstration using Azure Monitor and AWS CloudWatch event data, showing how ignio™ AI Agent for IT Event Management recognizes recurring patterns, predicts operational risk, determines when autonomous action is appropriate, and maintains a complete decision trail. Join us as we show you how the same approach can be evaluated against your environment in minutes rather than through a traditional multi-month proof of concept.