In this episode, we explore why many predictive maintenance programs still behave reactively, even after major investments in sensors, IoT platforms, analytics, and automation.

Modern operations teams can detect equipment degradation earlier than ever before. Dashboards are live, alerts are firing, and infrastructure visibility has dramatically improved. Yet failures still occur, dispatches remain manual, and field teams continue responding after disruptions happen.

The issue is no longer detection.

It is execution.

This episode breaks down the growing operational gap between sensor intelligence and real-world field execution, including:

• Why predictive maintenance often fails to prevent disruption

• How manual coordination creates hidden operational friction

• The disconnect between IoT alerts, schedu ...