Deploy ML models to production — serving infrastructure, monitoring, drift detection, safe rollouts. Triggers: deploy model, serve model, model API, model monitoring, data drift, concept drift, model degradation, A/B test model, canary model, inference endpoint, prediction API, retrain trigger.
