A radically human approach to human-machine interaction is turning assumptions about the basic building blocks of innovation upside down. Specifically, the new utility of small data — including the ability to create “synthetic” data to simulate a set of circumstances — is bringing the power of AI at scale within reach of entities that previously couldn’t afford it. Instead of machines “learning” by processing mountains of data, humans can now teach machines based on human experience, perception, and intuition. That means more people throughout organizations can use AI in new ways, based on their individual expertise.