A leading heavy manufacturing company revolutionized equipment reliability with AI-powered predictive maintenance, cutting unplanned downtime by 50% and reducing maintenance costs by 25%. By integrating IoT sensors, real-time analytics, and machine learning, they shifted from reactive maintenance to a data-driven, condition-based strategy. This episode explores how predictive analytics, automated decision-making, and continuous model improvements are optimizing maintenance workflows, extending equipment lifespan, and enhancing sustainability in industrial operations. Tune in to discover the future of smart manufacturing and AI-driven reliability!