Why Your ML Model Is Quietly Failing — And How to Catch It Before It Costs You

Tags: #MachineLearning #MLOps #DataScience #ModelMonitoring #Python #AI Introduction Most organisations invest heavily in building and deploying machine learning models. They celebrate the launch, track accuracy at go-live, and move on. What they rarely account for is what happens next. The world changes. Customer behaviour shifts. Data distributions drift. And silently, without a single line of code changing, your model begins to fail. "A model that was 90% accurate at launch can degrade to the