This presents a totally different way of doing AI because it’s not dependent on the massive training capacity in the cloud if an unexpected event occurs that needs quick decision making, such as a traffic scenario where safety is a concern, Dubois said.

Enabling more machine learning at the edge jives with the Forrester Research study, which projects that more firms will be running analytics in public clouds and at the edge. Fifty-one percent of respondents said that they are running analytics in public clouds, a number that is forecast to increase to 61% in the next three years. In addition, while 44% run analytics at the edge today, Forrester predicts that this will grow to 53% by 2021.

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