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Taylor Soper of Geek Wire reports, “For the three entrepreneurs building pol.is, the problem was simple: Big groups of people trying to communicate effectively about a certain topic online was largely inefficient. That’s why they started pol.is, a new Seattle company that has developed a way to combine polling data from hundreds of people with machine learning and interactive data visualization. The end result is a simple, clean way for anyone from college professors to market researchers to efficiently collect and package large amounts of data while enabling users to spur conversation based on all the input. ‘Getting large groups of people to communicate effectively is really painful,’ said CEO Colin Megill. ‘We are solving that’.” Read more