Kiva.org cofounder Matt Flannery has raised $9.2 million for his new startup Branch, which hopes to be a digital bank offering small and large loans for the developing world.

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A pending case could shift the flood of patent complaints barreling towards the Eastern District of Texas.

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I spend a lot of time visiting and working with companies and people who work very hard to use data to solve important problems: reducing churn, boosting sales, discovering medical advances, increasing safety, and enhancing productivity. The variety of innovation I see is staggering.

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Sometimes in my more reflective moments, I find myself thinking about the term “big data,” and asking the question, “Really?” I’m all for profit, cost avoidance, process optimization and all the other applications to which big data is commonly applied. It’s my life.

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There’s so much enthusiasm invested in the Internet of Things (IoT). It seems as though every company wants some piece of intelligence sitting out there in every device on the edge, relishing the flood of information to be gained about the device, its use, and the environment around it. The IoT is shining a spotlight into distant corners and this in turn has led to a drive to greater efficiency and optimization.

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We are witness to the most important and exciting technology shift in more than a generation — the dawn of the cognitive computing era. Cognitive systems — most fully realized in the form of IBM’s Watson — can ingest and learn from a wide variety of data, reason over it, and then interact with people in ways that are more natural to us.

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