A digital twin is a virtual replica of a physical object, system, or process. It allows real-world data from sensors, devices, and other sources to be combined with simulations, models, and analytics to provide a complete picture of an object’s behavior and performance. By using a digital twin, organizations can gain a deeper understanding of how their assets operate and interact with their environment.
By simulating the physical object in a virtual environment, organizations can analyze its performance, identify issues and inefficiencies, and test various scenarios and solutions. The insights generated by the digital twin can then be used to improve the actual physical object, reduce downtime, and optimize its performance.
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