Join our discussion on welding data monitoring, where we explore practical data collection methods, discuss the significance of part traceability, and examine how automated machine learning enhances anomaly detection in welding. Our focus will be on the practicality of data collection and the reliability of data models. We will present specific data tied to a customer use-case to demonstrate how machine learning can be used to identify weld anomalies. By attending this discussion, you will discover how these elements work together to improve your bottom line.
