Model Drift

A was implemented, studied, and proved. It was right in its predictions, and its metrics were consistent. The logs were clean. Nevertheless, with time, there was a growing variety of minor complaints: edge...

Despite the AI hype, many tech corporations still rely heavily on machine learning to power critical applications, from personalized recommendations to fraud detection.  I’ve seen firsthand how undetected drifts may end up in significant costs...