Deep learning has catapulted to the front page of the New York Times, formed the core of the so-called “Google brain,” and achieved impressive results in vision, speech recognition, and elsewhere. Yet building intelligent systems requires us to go way beyond the capabilities of deep learning and today’s data-mining systems. The future of the Big Data paradigm lies in extending these powerful methods to acquire knowledge from text, databases, diagrams, images and video. We also need to reason tractably using this acquired knowledge to make sense of the world, and to draw novel conclusions.