As the digital transformation process is advancing, key stakeholders and decision-makers are looking for solutions to address the rising complexities. The digital twin strategy proves to be a relevant framework that can help large organizations capture the power of digital twins while facilitating the right information to be shared and adapted in a digital twin software and services ecosystem that empowers enterprises on an IoT journey to be digitalized.
A digital twin is a simulation of the physical world in the digital one, and all of the data is collected from sensors, machines, etc. It’s a virtual model of all assets with all systems, business functions, and people linked and interacting with it. To put it simply – A Digital Twin is a virtual representation in a virtual space of a physical structure in real space, and the information flow between the two that keeps them synchronized. The key difference between classic supply chain modeling and this is that instead of relying on existing data to update our models or build new ones when needed, we rely on real-time information feeds, which both facilitate continuous synchronization of the digital to the real environment as well as building models that can be updated on-the-go and by using full history data over time.