AI-powered predictive maintenance leverages IoT sensors and machine learning to monitor asset performance in real time. By analyzing data such as vibrations and energy consumption, it forecasts potential failures, enabling timely interventions. This proactive approach reduces unplanned downtime, extends equipment lifespan, and enhances operational efficiency, offering significant cost savings and improved reliability.