The Quiet Failures: Monitoring for the AI Problems That Don't Announce Themselves
The costliest AI failures produce no error and no alert. Drift, degraded data quality and silent overfitting need monitoring designed to surface them, because a system that fails loudly gets fixed quickly while a system that fails quietly keeps making decisions nobody reviews.