Month: July 2026

Six months in, fourteen ML models were live—but none had automated retraining. Three still used hardcoded paths from a laptop. When compliance flagging hit 40% false positives, an eleven-day investigation traced it back to an undocumented schema change. This is where enterprise AI projects actually break.

Most organizations celebrate their ML deployment—then face unexpected costs and performance failures within weeks. David Ohnstad breaks down the post-deployment governance gap that catches enterprises off guard and provides the framework to prevent it.