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Category Archives: Information Technology

Will big data go away?

That was just one of the many questions debated during the “Big Data, Analytics and Insights” session at this year’s MIT Sloan CIO Symposium, held in late May 2014. The panel was moderated by Professor Tom Davenport, Fellow with the MIT Center for Digital Business, and included Barry Morris, Founder & CEO of NuoDB; Darrell Fernandes, CIO of the Professional Services Group at Fidelity Investments; Don Taylor, CTO of Benefitfocus; and Puneet Batra, Founder of LevelTrigger.

The short answer to that question is “maybe.” The term “big data,” which Davenport pointed out took off during the last quarter of 2010, means different things to different people. For some, big data refers to unstructured data. But to others, it refers to the variety, velocity, and volume of data that companies can attempt to harness for competitive advantage. In order to bring clarification to the discussion, Don Taylor often refers to it as “unwieldy” data. Other terms that are gaining some traction in the industry are “data-wise,” “data intelligence,” and “e-knowledge.”  Continue reading

EmTech 2013 day three: Climates of yes

Guest Blogger: Doña Keating is President and CEO of Professional Options, a prominent innovator in the leadership, policy and management consulting industry which provides solutions for businesses, organizations and governmental agencies.

I am officially addicted to EmTechMIT. Since returning to the left coast from last week’s event, every neuron in my body is firing from a reconnection to one of the ultimate “Climates of Yes.”

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Mapping collective intelligence to design winning organizations

It’s likely you’ve heard of collective intelligence, the term used broadly to refer to groups of individuals doing things collectively that seem intelligent. The most well-known examples of collective intelligence in action are Google and Wikipedia—large, loosely organized groups of people working together in a rapid transfer information stream.

What many organizations don’t know—but could benefit from—is the use of mapping collective intelligence to dissect and better understand their people, processes, and sources of inefficiency and, in some cases, to create a structure to improve business innovation.

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