In the era of Industry 4.0, the digital twin has emerged as a new technology that brings together physical and simulated information to deliver greater value from existing resources. When paired the latest machine learning techniques, digital twins can lead to better decision making at each step of the product lifecycle including during design, manufacturing, and operations. This webinar will introduce the role of machine learning and AI for Digital Twins.
Special Feature: Electric Motor Digital Twin Use Case –
In this use case, you’ll walk through how data from physical sensors along with machine learning techniques such as statistical calibration can improve the accuracy of a digital twin while leading to new insights such as predictive maintenance or health monitoring.
Audience:
Engineers, managers, and data scientists involved in product and equipment design and manufacturing or who are end users or operators of such and have interest in learning more about using machine learning as part of a digital twin workflow.
