How to Analyze 72 Billion Messages a Day to Find Trends

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 session, we will show how we envision the future of automated insight discovery. We will 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."

Nova Spivack is a technology futurist, serial entrepreneur, angel investor, and one of the leading voices on the next-generation of search, AI, big data, and the Web. Nova is presently CEO of Bottlenose, which uses big data mining to discover emerging trends for large brands and enterprises. He also advises and/or invests in several startups including Klout (acquired by Lithium), The Daily Dot, Next IT,WhoKnows, Live Matrix (acquired by OVGuide), PublishThis, Sensentia, and Cambrian Genomics. He started EarthWeb and Dice, both of which went public. Spivack is also an advisor to several early-stage venture funds in the areas of emerging Internet technology and clean energy.

Barry managed product vision, pricing, roadmap and strategy for Topsy before moving into the role of Senior Partnerships and Business Development. He managed customer relationships at Apple after Topsy’s acquisition. Earlier, Barry was a partner at Greenleaf Capital and consulted for Deloitte and KPMG.