A simulated version of a physical product in a computer is referred to as a digital twin. This technology allows for real-time monitoring and analysis of the product's performance in a virtual environment. Digital twins are used across various industries, including manufacturing, healthcare, and smart cities, to optimize processes and predict outcomes. They combine data from sensors and IoT devices with sophisticated algorithms to simulate real-world conditions accurately. This capability aids in product design, testing, and maintenance by providing insights that lead to improved efficiency and risk management throughout the product lifecycle.