There is an overload of stream data that has led to interest in Big Data, while mostly resulting in a signal-to-noise problem. There is not enough attention in the world, nor enough analyst time to keep up with this deluge of data. Most Big Data tools available today are not up to the task. A radical new form of information retrieval is called for. In this webinar, we show how we envision the future of automated insight discovery. We show a very fast interactive analytics engine that allows for slicing and dicing data in many ways. We then go a step further to systematically walk through all these analytics - brute force style - to generate what we call "trends."