How do you monitor ML models in production? What types of drift should you track, and how do you detect when a model needs retraining?

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Model monitoring is essential for maintaining ML system reliability because models degrade over time as the world changes. Unlike traditional software where bugs cause immediate failures, model degradation is often gradual and invisible without proper observability…