AI Ops & Deployment
Model Monitoring
AI Ops & Deployment· Intermediate
Definition
Continuous tracking of a deployed model's performance, behavior, and data characteristics in production. Monitors for data drift, model drift, latency degradation, and fairness violations. Essential for maintaining AI reliability over time — models degrade silently without monitoring.
Tags
#monitoring#drift#production#reliability#alerts
MS
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