Manufacturers generate massive amounts of operational data every day, yet many organizations still struggle to transform that information into actionable insights for the people who need it most—the frontline workforce. As AI continues to evolve, new approaches are emerging that focus not on replacing operators, but on empowering them with better context, faster insights, and smarter decision support. 

This session will explore how manufacturers can leverage AI to capture and activate the collective knowledge of their operations—from line performance data and run history to standard operating procedures and operator observations. By connecting these data sources, organizations can surface predictive insights, identify recurring production challenges, and provide contextual guidance that helps teams solve problems faster and prevent issues before they occur. 

Attendees will gain a practical understanding of how AI can support frontline decision-making, strengthen collaboration across production teams, and unlock productivity improvements on the factory floor. Through real-world examples and lessons learned, this session will provide manufacturers with a clear framework for applying AI in ways that enhance—not replace—the expertise of their workforce.