Embracing Digital Twins in the Automotive Industry: Interview with Ansys
Q&A with Ansys
A digital twin (DT) is a virtual replica of a physical asset that uses real-world data and models to improve operations and aid in decision-making. It incorporates real-time and historical data, as well as engineering, simulation and machine learning models. By creating a digital twin, the automotive industry can gain insights into the performance and behavior of physical assets, optimize operations and make more informed decisions.
Thank you for visiting S&P Global AutoTechInsight.
*A subscription to News & Analysis includes four S&P Global-selected sector-specific analytical pieces per month. Access to all analytic pieces across all domains comes with a subscription to All Domains. Please click here to subscribe.
To get access to the AutoTechInsight full suite of services, please contact a sales representative by clicking here.
Already a subscriber? Please log in here