Speaker
Vineet Srivastava
Head - Faculty Consulting
Alumni : MIT, University of Florida
AI-driven predictive maintenance leverages machine learning and IoT sensors to monitor equipment health in real time, reducing unexpected downtime and maintenance costs. By analyzing historical data and identifying patterns, AI can predict potential failures before they occur, ensuring optimal efficiency and extending machinery lifespan. This proactive approach improves production reliability, enhances safety, and minimizes operational disruptions, making it a vital strategy for modern manufacturing.
Speaker
Dr. Manish Gangwar
Speaker
Dr. Manish Gangwar