In the fast-paced world of machine learning, innovation requires utilizing data. However the reality for many companies is that data access and environmental controls which are vital to security can also add inefficiencies to the model development and testing life cycle. To overcome this challenge — and help others with it as well — Capital … continue reading
Synthetic data and digital twins are wildly different things but at the same time complementary in the sense that one simulates data for AI and other simulates the interactions of models for people and AI. Rather than being generated by real-world events or processes synthetic data is information that’s artificially manufactured. It is data created algorithmically, and … continue reading
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