Predictive maintenance is a type of maintenance strategy that uses data analytics and machine learning algorithms to predict equipment failures before they occur. The goal of predictive maintenance is to identify potential problems and perform maintenance tasks to prevent unexpected downtime or equipment failures. Predictive maintenance involves the use of sensors, analytics, and predictive modeling to monitor and analyze data from equipment and predict when maintenance should be performed. By implementing a predictive maintenance program, organizations can reduce maintenance costs, increase equipment uptime, and improve overall operational efficiency. SA Engine from Stream Analyze can easily be used for predictive maintenance.