Engineering simulation software has traditionally been used for new product design, but with the advent of advanced embedded sensors, engineers can now use this data to create digital twins. 

Digital twins transform the way engineers simulate, predict, and optimize product performance, driving faster innovation and more informed decisions. With the Hybrid Analytics capability of Ansys, engineers can reach an unparalleled level of accuracy using predictive analytics by combining machine learning (ML)-based analytics with a physics-based approach.

This webinar highlights the latest advancements in analytics, automation, and modeling, including hybrid analytics with multi-output Gaussian process fusion, a new twin-deployment web app, and enhanced ROM creation tools. Discover key solver and model library updates that enhance usability and performance across various applications.

Join PADT's Embedded Software Engineer and Digital Twin Expert Noah Asherbranner to explore the latest features that elevate digital twin capabilities across analytics, automation, and modeling in Ansys 2025 R2.