AI-powered predictive maintenance in manufacturing facilities harnesses data analytics and machine learning to anticipate equipment failures before they occur. By analyzing historical and real-time data from machinery, these AI systems can identify patterns and anomalies that signal potential breakdowns, allowing for timely maintenance interventions. This proactive approach significantly reduces unplanned downtime, optimizes asset utilization, and extends the lifespan of equipment, ensuring that manufacturing operations run smoothly and efficiently.