Digital twins are virtual replicas of physical objects, systems, or environments that are constantly updated with real-time data. These models are being used in industries like manufacturing, healthcare, construction, and urban planning to simulate, predict, and optimize performance before real-world implementation. For example, a smart city might use a digital twin to simulate traffic flows, while a hospital may model ICU workflows to improve patient care.
This post breaks down how digital twin technology works, why it’s becoming critical in smart infrastructure, and how AI + IoT make it possible. It also examines its future in areas like personalized medicine and climate modeling. As virtual replicas become more precise, we may start solving physical problems in a digital mirror first.
