This webinar explains how industrial automation and machine learning are being combined to improve reliability, efficiency, and decision-making in manufacturing environments. It introduces core AI concepts like analytics, machine learning, predictive maintenance, and “smart sensors,” then shows how real-time machine and facility data can be collected from the field and organized into actionable insights. The presentation highlights how connected devices can monitor conditions such as vibration, temperature/humidity, air quality, and power usage, and how alerts or automated actions can be triggered when readings move outside normal ranges. The webinar concludes with a demonstration of IOTStar, ICP DAS USA’s IoT management platform, showing how users can connect supported controllers and meters, build dashboards with widgets, view real-time and historical trends, and use centralized data visibility across systems to support smarter maintenance and operations.
