Posts Tagged ‘data visualizations’

Spurring Group Communication with Machine Learning at Pol.is

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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

Businesses Can Take A Page From National Security Playbook: Connect the Dots Within Data To Discover Relationships

Ensuring national security is often a matter of connecting the dots – of discovering and digging into the relationships between individuals (recent evidence: Osama bin Laden being tracked down through one of his couriers), and among people and organizations. Businesses might want to take a page from that playbook, finding within their own data and that of external sources such as social media unexpected relationships that can lead to new markets, clients, or even employee leads.

Data Intelligence Technologies is hoping to exploit the data relationship expertise it developed in the national security consulting arena — “building bad guy networks,” as founder and CEO James Kraemer puts it — to the commercial enterprise space (as well as continuing to serve the national security market). “On a high level we allow business intelligence where you get insight into data. All BI offers that,” Kraemer says. What sets this solution apart, he says, is supporting knowledge networks with targeting features that an organization can use to search, look for profiles, and discover additional relationships inside the data.

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