Search results for: “big data”
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The role of big data in enterprise innovation
I once joked that time is the primary key of the universe. I’ve since stopped thinking that’s a joke. As the world around us becomes increasingly data-driven (something we explored recently at O’Reilly Strata, a conference I help run) the way we make decisions changes at a fundamental level. Rather than framing a question, then […]
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Some thoughts on Big Data from Strata
A quick video looking at where Big Data, and the Strata conference, are headed.
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Big data, big apple, big ethics
New York is awash in Big Data next week, and the Ford Foundation is running a day on the upsides and drawbacks of Big Data too.
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The selfish economics of Big Data
Big Data’s ability to make increasingly accurate predictions will change the economics of industries based on amortizing risk across a population.
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Three big data conversations
I’m in Prague this week for WebExpo. Being largely detached from the constant interruptions of a North American timezone has given me a chance to think about big data from a somewhat more detached perspective. I’ve got three things I want to spend some time writing about in the coming weeks, and probably touching on at Strata […]
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Followup on Big Data and Civil Rights
Big Data and Civil Rights struck a nerve. Here are some follow-up thoughts.
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Big Data is our generation’s civil rights issue, and we don’t know it
Because it can be used in unintended ways, Big Data is the civil rights issue of our generation. But unlike coarse discrimination such as Redlining, today’s prejudice is surgical, tailored, and as a result hard to regulate.
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Four things big innovators do differently
This originally appeared as a guest post for Geckboard. Large companies all have different strategies and approaches to coming up with what’s new. Some centralize innovation, while others distribute it. Some rely on acquisition, while others prefer to incubate. And some move cautiously, while others cast about wildly for the mythical unicorn that will catapult them into […]
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Gathering moss: data gravity and context
Dave McCrory’s work on Data Gravity says that the tendency of data to cling together comes from the usefulness of the resulting knowledge. Here’s a concrete example.