Tag: ML Pipeline Automation

We spent $180K building a fraud detection model that initially worked perfectly-but just four months later, it was approving fraud at three times the pre-model rate, exposing how quickly performance can deteriorate without proper monitoring and maintenance. The Client Call Nobody Wants to Get Eight months ago, a fintech client called us with a problem…