Facebook’s machine learning director shares tips for building a successful AI platform

Image: Andrew Grosser It’s no longer up for debate that AI is set to have a major impact on most businesses, if it isn’t already—and any company that wants to stay ahead must figure out how to integrate the new technology into its structure. But how is a successful AI platform built? On Wednesday, at the Applied Artificial Intelligence Conference in San Francisco, hosted by hackers.ai, Hussein Mehanna, the director of core machine learning at Facebook, tackled this question. In Mehanna’s session, he explained how Facebook developed its own machine learning platform, and how Facebook employees are using it. In 2012, Mehanna said, Facebook’s AI platform was “a snowball of complexity”—a system that slowed progress down significantly. “We had to do something,” he said. Mehanna described the development of FBLearner…


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