How AI describes SAP Asset Performance Management

Predictive maintenance is a proactive, data-driven approach that continuously monitors equipment health in real time using sensors, analytics, and AI/ML to maximize performance and asset lifespan, reducing downtime and operating costs. It uses real-time condition indicators to trigger maintenance only when needed, unlike preventive maintenance which follows a fixed schedule. The process involves four stages—collecting data from sensors, transmitting it to a central system, applying AI/ML analytics, and acting on the insights—relying on technologies like IoT networks, cloud connectivity, gateways, ERP, and cloud-based analytics.