Facilities are collecting more data than ever—temperatures, vibrations, energy use, pressure, airflow—but too often that data sits in dashboards that demand constant attention and still fail to deliver timely, actionable insight. The promise of AI, is not more reports, but the ability to recognize patterns humans can’t realistically track across thousands of variables and to surface meaningful anomalies before they become failures. Their message is blunt: AI can improve predictive maintenance, but data governance will decide whether you’re allowed to deploy it at all.
