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IT Has 26 Words for Data Mining

As data proliferate, so do words for handling them

3 min read

Intelligence about baseball had become equated in the public mind with the ability to recite arcane baseball stats. What [baseball statistician Bill] James's wider audience had failed to understand was that the statistics were beside the point. The point was understanding; the point was to make life on earth just a bit more intelligible. — Michael Lewis in Moneyball (2003)

Organizations of all sizes are sitting on mountains of data; what they really need are knowledge engineers who can excavate nuggets of ­valuable information from that data. Earlier this year (in "The Coming Data Deluge," IEEE Spectrum, February 2011), I mentioned the concept of data mining, which uses sophisticated software and database tools to extract nonobvious patterns, correlations, and useful information from large and complex data sets.

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Asad Madni and the Life-Saving Sensor

His pivot from defense helped a tiny tuning-fork prevent SUV rollovers and plane crashes

11 min read
Asad Madni and the Life-Saving Sensor

In 1992, Asad M. Madni sat at the helm of BEI Sensors and Controls, overseeing a product line that included a variety of sensor and inertial-navigation devices, but its customers were less varied—mainly, the aerospace and defense electronics industries.

And he had a problem.

The Cold War had ended, crashing the U.S. defense industry. And business wasn’t going to come back anytime soon. BEI needed to identify and capture new customers—and quickly.

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