Building Your Machine Learning Capabilities - Dice Insights

In a new article in Fortune, Facebook executives detail how their research into machine learning and artificial intelligence allowed them to build a social network that serves photos, text posts, and video to more than a billion people around the world. Actually, let's rephrase that sentence: it's only because of machine learning and artificial intelligence that Facebook could effectively scale its operations to such gargantuan size. You simply can't hire enough human beings to tag, sort, and monitor every aspect of such a huge system. But that's not to say that machine learning is the silver bullet that will allow any technology company to ramp up to meet demand. "It seems like a very useful thing to build a platform to support [machine learning algorithms] but you discover that each application that uses machine learning needs a different application to use it," Andrew Moore, the dean of computer science at Carnegie Mellon University, told the magazine.