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Digital twins have emerged as powerful tools, essentially acting as yet to be defined databases and allowing businesses to simulate and interpret expansive digital ecosystems more quickly and accurately than ever.
Yet without defining and controlling their relationships with each other, digital twins can quickly become too complex and inaccurate.
Read on to learn how you can best organize digital twins to function as powerful tools, taking advantage of machine learning and data proliferation to create a mirror of data to be better analyzed and understood.