Artificial intelligence contributes to predictive maintenance by leveraging algorithms and data analysis to predict equipment failures before they occur. By analyzing historical data from machinery, AI can identify patterns and anomalies that indicate potential problems. This approach enables organizations to schedule maintenance proactively, reducing downtime and maintenance costs. Furthermore, AI's capacity for real-time monitoring allows companies to implement IoT (Internet of Things) devices, enhancing data accuracy and optimizing the performance of equipment. Overall, the integration of AI in predictive maintenance significantly enhances operational efficiency and reliability.