What is ML incident response and rollback strategy?

Incident response handles ML failures and restores system stability using rollback strategies.

When a model degrades, automated systems detect anomalies and trigger rollback to previous stable versions. Incident response includes alerting, root cause analysis, and mitigation steps. It ensures reliability in production ML systems.