Slow silent degradation over time: the data changed, the source system changed, a model got updated — and yesterday's fine-tuned setup quietly stopped matching reality.
Why it matters: AI systems don't fail loudly like crashed software; they fade. Scheduled eval runs are the smoke detector.
Related: Eval