The webinar centered on a practical model that ran throughout: a four-layer stack that moves from insight to action.
- Foundational Data: CMDB, change records, events, incidents, service maps, logs, metrics, playbooks, knowledge, and integrations with third-party tools
- Machine Learning: Alert clustering and correlation, metric anomaly detection, log pattern recognition, root cause scoring
- Generative AI: Now Assist skills for ITOM (Alert Summary, Alert Analysis, Alert Investigation) that explain what the ML found in plain language
- Autonomous Tools: The AIOps AI Specialist, targeting Q4 2026 GA, that automatically triages, investigates, and deflects alerts across your observability stack
Need to revisit something? Check out the deck and the full recording.
Didn't get your question answered? Drop it in the comments.
Brent and Doug are here through September 8th to dig into the details, clear up confusion, and take you deeper on anything from the webinar. Ask away.
