Artificial intelligence (AI) aids in predictive maintenance by analyzing data from machinery and equipment to forecast potential failures before they occur. Using algorithms and machine learning, AI identifies patterns and anomalies in performance data, enabling early detection of issues. This proactive approach reduces downtime and maintenance costs, as organizations can schedule repairs more efficiently, minimizing disruptions to operations. AI-driven predictive maintenance enhances reliability and extends the lifespan of equipment, contributing to overall operational efficiency in various industries.