In this episode, we explore how a leading heavy manufacturing company overcame costly production downtime and operational inefficiencies by implementing AI-powered predictive maintenance. Learn how the company used IoT sensors, machine learning models, and real-time predictive analytics to reduce unplanned downtime by 50%, cut maintenance costs by 25%, and extend the lifespan of their equipment. We dive into the process of shifting from traditional maintenance practices to a data-driven, condition-based approach and the significant operational and sustainability benefits that followed. Tune in to discover how AI is revolutionizing maintenance in the heavy manufacturing sector!