Why production systems keep making “correct” decisions that are no longer right [D]
I’ve been looking at a recurring failure pattern across AI systems in production. Not model failure, or data quality or infrastructure. Something else. Where system continues to operate exactly as designed, models run, outputs look valid, pipelines exe…