IBM Big Data, supercomputers, and Predictive Analytics: Nate Silver's important The Signal and the Noise
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Big Data and Predictive Analytics are two sides of the same coin, and the well-known American statistician Nate Silver has published a highly interesting book on this highly important topic: The Signal and the Noise: Why So Many Predictions Fail-but Some Don't.
Silver has written an in-depth extract from his book in the New York Times: The Weatherman is not a Moron:
In 1972, the service’s high-temperature forecast missed by an average of six degrees when made three days in advance. Now it’s down to three degrees. ....
Perhaps the most impressive gains have been in hurricane forecasting. Just 25 years ago, when the National Hurricane Center tried to predict where a hurricane would hit three days in advance of landfall, it missed by an average of 350 miles. If Hurricane Isaac,, which made its unpredictable path through the Gulf of Mexico last month, had occurred in the late 1980s, the center might have projected landfall anywhere from Houston to Tallahassee, canceling untold thousands of business deals, flights and picnics in between — and damaging its reputation when the hurricane zeroed in hundreds of miles away. Now the average miss is only about 100 miles.
Silver mentions The I.B.M. Bluefire supercomputer in his highly readable article.
Another important product in this space is IBM's product for predictive analytics: SPSS
Anyone interested in SPSS or IBM's Big Data product portolio can contact any IBM Innovation Center for more information.