AIOps (Artificial Intelligence for Operations) is the practice of using machine learning to automate and improve IT operations. Core capabilities: anomaly detection (flagging unusual metrics), root cause analysis (finding the source of problems), incident prediction (warning before something breaks), and remediation automation (auto-running fixes). AIOps reduces MTTR (mean time to resolution) by 60-80% and on-call burden significantly. AIOps sits at the intersection of observability (collecting metrics/logs/traces), ML (detecting patterns), and automation (running fixes).