A digital twin is a virtual representation of a real object, process, or system. Thanks to artificial intelligence, these virtual models can be updated in real time and simulate complex scenarios.
For example, a factory can create a digital twin of its entire production plant. With AI, this model receives constant data from sensors and makes it possible to detect failures before they occur, optimize processes, and reduce costs.
In cities, digital twins help plan traffic, energy consumption, and emergency response. Even in medicine, experiments are being conducted with digital twins of human organs to simulate treatments before applying them to real patients.
Digital twins are one of the most revolutionary applications of AI because they not only display information but also turn it into predictive and strategic actions.