Predictive maintenance involves collecting real-time data from equipment through sensors and other monitoring tools. This data is then analyzed using big data analytics and machine learning algorithms to identify patterns and predict failures. The analysis can reveal insights into the equipment's condition, performance trends, and potential failure points.