The term digital twin refers to a virtual representation of a physical object or system that is used for simulation and analysis in industries like manufacturing, automotive, and healthcare. This technology integrates real-time data from the actual asset with advanced modeling techniques to mirror its behavior and performance. By using digital twins, organizations can predict outcomes, optimize operations, and enhance maintenance strategies, leading to improved efficiency and reduced costs. They enable better decision-making by providing insights into asset performance over time.