Digital twin technology has moved beyond manufacturing and into the merging worlds of the Internet of Things, artificial intelligence and data analytics. As
more complex “things” become connected with the ability to produce
data, having a digital equivalent gives data scientists and other IT
professionals the ability to optimize deployments for peak efficiency
and create other what-if scenarios.
Read the article over at Network World here.
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