Model Degradation, Sunset & Stakeholder Alignment Questions

Lifecycle management of ML models in production, including monitoring for data drift and concept drift, detecting performance degradation, planning model updates or retirement (sunsetting), governance, risk management, and aligning stakeholders on decommissioning decisions.