This PDF outlines how Predictive maintenance insights serve as the foundation for prescriptive energy efficiency decisions in industrial operations. It highlights how data-driven predictions inform optimized scheduling, reduce unplanned downtime, and support energy-saving interventions across critical assets. Practical examples show how predictive algorithms feed into decision models that reduce variability and improve stability.