Though consumer applications for metaverse seem to get more attention, digital twins are likely to produce more value, near term.
A digital twin is a virtual representation of an object or system and is a type of “metaverse.” It is updated from real-time data and uses simulation, machine learning and reasoning to help decision making, often to model processes and flows.
That might be especially useful for complex systems, as when operators of such systems want to look at possible changes; predict breakdowns or predict maintenance activities.
When used to monitor and possibly avoid traffic congestion, digital twins might be useful to optimize traffic flows. Rerouting traffic around accident delays is one possible advantage, assuming the ability to manage traffic lights, open or close routes.
In manufacturing, digital twins might be used to rapidly create prototypes or optimize supply chain support. In health care, assuming the knowledge base is refined enough, digital twins might help doctors evaluate outcomes from various treatments.
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