Paul Ingram

This session will examine how machine learning can revolutionize manufacturing by enabling proactive maintenance and operational decision-making. Attendees will learn to leverage data analytics to predict equipment failures, optimize processes, and enhance productivity. 

Key Points: 

• Predictive Analytics Implementation: Case studies showcasing successful machine learning applications that predict maintenance needs before failures occur. 
• Data Integration Strategies: Discussion on integrating machine learning solutions with existing MES and IoT systems to enhance data accuracy and availability. 
• Real-time Decision-Making: Techniques for using machine learning insights to facilitate immediate operational adjustments and improve overall efficiency.