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The problem is that a math model, like a metaphor, is a simplification. This type of modeling came out of the sciences, where the behavior of particles in a fluid, for example, is predictable according to the laws of physics.
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abrugiere on 02 Apr 13

Andrew McAfee, principal research scientist at the M.I.T. Center for Digital Business, led off the conference by saying that Big Data would be "the next big chapter of our business history. Big Data, said Professor Brynjolfsson, will "replace ideas, paradigms, organizations and ways of thinking about the world." The results, according to technologists and business executives, will be a smarter world, with more efficient companies, better-served consumers and superior decisions guided by data and analysis. The problem is that a math model, like a metaphor, is a simplification. This type of modeling came out of the sciences, where the behavior of particles in a fluid, for example, is predictable according to the laws of physics. Les bonnes questions à se poser quand on gère un projet de big data "How do you define the problem? What data do you need? Where does it come from? What are the assumptions behind the model that the data is fed into? How is the model different from reality?"

<div class="cArrow"> </div><div class="cContentInner">Andrew McAfee, principal research scientist at the M.I.T. Center for Digital Business, led off the conference by saying that Big Data would be "the next big chapter of our business history. Big Data, said Professor Brynjolfsson, will "replace ideas, paradigms, organizations and ways of thinking about the world." The results, according to technologists and business executives, will be a smarter world, with more efficient companies, better-served consumers and superior decisions guided by data and analysis. The problem is that a math model, like a metaphor, is a simplification. This type of modeling came out of the sciences, where the behavior of particles in a fluid, for example, is predictable according to the laws of physics. Les bonnes questions à se poser quand on gère un projet de big data "How do you define the problem? What data do you need? Where does it come from? What are the assumptions behind the model that the data is fed into? How is the model different from reality?"</div>

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