Why MLOps Retraining Schedules Fail — Models Don’t Forget, They Get Shocked

# Why Your Company's AI Models Keep Getting Worse (And How to Fix It) Companies typically retrain their AI models on fixed schedules—say, every month—assuming they'll gradually get worse over time like a forgotten skill. But research on real fraud detection shows this assumption is backwards: models actually fail suddenly when market conditions shift, not slowly. The solution is to monitor when these dramatic shifts happen and retrain on demand, rather than sticking to a calendar.