Hybrid Digital Twins: Bringing Together the Best of AI and Physics
IT departments are learning the hard way that developing AI for physical networks is challenging. You need an environment where it is possible to mature the AI to ensure a high-level of accuracy. Fortunately, when you integrate AI and IoT, you obtain lots of data on how physical devices are behaving in the real world. That’s where digital twins come in. Bringing together best practices in AI and physics allows IT departments to combine virtual and physical sensors. Today, physics simulation-based digital twins are already representing the real world with a high degree of accuracy. In this webinar, our panel of experts will discuss how to bring together the best of AI and physics to create hybrid digital twins. Hybrid digital twins implement advanced techniques including physics simulations and virtual sensors. The panelists will also look inside the AI/physics work already underway thanks to the liaison between the AIoT User Group and the Digital Twin Consortium.
Prith Banerjee, CTO Ansys, DTC Steering Committee; Dirk Slama, Chairman AIoT User Group, VP Co-innovation at Bosch