10 reasons to combine digital twins and synthetic data

My list


Synthetic data and digital twins are complementary approaches for riffing on real-world data to improve AI and product design. Synthetic data tools generate labeled data for training AI from a small subset of real data. Digital twins generate “what-if” scenarios for evaluating various performance, cost, and sustainability trade-offs.

Digital twins could help extend synthetic data tools to support real-world digital transformation in construction, medicine, and supply chains. Conversely, synthetic data could help teams using digital twins simulate different scenarios more efficiently.

+INFO: VentureBeat

+PHOTO: VentureBeat

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