This webinar explores how robotics, artificial intelligence (AI), and machine learning are being applied in industrial automation to increase efficiency, reduce errors, and improve decision-making on the factory floor. It introduces the role of industrial controllers, sensors, and data acquisition in robotics systems—covering how real-time I/O and motion feedback enable robots to sense, compute, and act reliably in applications like material handling, sorting, packaging, and machine tending. The training then explains how AI and predictive analytics can use historical and live machine data to identify inefficiencies, forecast failures, and support preventative maintenance strategies. Real-world examples are discussed, including data-center and clean-room style monitoring systems that trigger alarms, LED messaging, and audible alerts when abnormal conditions occur. The webinar concludes with a demonstration of SCADA analytics capabilities (cloud-based dashboards, KPIs, and alarms) to show how multi-site data can be visualized and analyzed for smarter operations and continuous improvement.
