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AIOps
Operational practice (IT)AI for IT operations
AIOps (Artificial Intelligence for IT Operations) is the use of AI and machine learning to automate and improve IT operations: anomaly detection, event correlation, root-cause analysis and incident response. It is a legacy term focused on infrastructure, not business agents.
Coined by Gartner, it describes how AI helps IT teams handle monitoring noise and speed up incident resolution. It creates ambiguity against 'agent ops' because they share a root, but its scope is systems stability, not the operation of autonomous business agents.
How it differs from
- AI Operations
- AI Operations operates AI in the business; AIOps automates the running of IT
- AgenticOps
- AIOps alerts and recommends; AgenticOps acts autonomously
Examples
- Correlating thousands of monitoring alerts into a single actionable incident
- Predicting server saturation before it causes an outage
FAQ
- Are AIOps and AI Operations the same?
- No, and it is a common confusion. AIOps is an IT-operations term (infrastructure). AI Operations is the function of operating AI across business processes.