Model Decay as Time‑to‑Failure: Survival Analysis Meets ML Reliability
The article shows how survival analysis—used in medicine and reliability engineering—can model ML model degradation as a time‑to‑failure problem, giving concrete survival curves and hazard rates that flag drift before a model breaks. This lets teams set data‑driven retraining schedules and alert thresholds, improving long‑term reliability.