Instrumented Interconnecteds Intelligent

Next week, 14-16 February it’s man vs. machine round two as IBM Watson plays on Jeopardy!, the famous TV quiz show in America, against the two all-time champions.  But the demonstration is much broader then a competition and really about the future of machine learning.

IBM’s Watson represents a big step in shifting the way we look at computers from today’s “calculators” to “machines that learn.”  Watson, is a powerful demonstration that the era of learning systems is indeed upon us. With the unveiling of Watson, for the first time, a computing system analyzes natural language and other language complexities in which humans excel at understanding and computers do not.  Additionally, Watson is a breakthrough computing system, in that it learns as it goes in order to improve its ability to accurately answer questions. IBM Research scientists did not build Watson just to play the game of Jeopardy, the scientists built Watson as a research effort to pursue the future of computing.

The same technology used by ‘Watson’ can help healthcare providers identify potential drug interactions, manage ‘what if’ scenarios in finance and regulatory compliance environments and to help clients use social networks to get smarter about their customers’ preferences. Watson represents the future of analyzing data in completely new ways at a faster pace then ever before.

While the match won’t stream on the web you can follow along via Twitter at

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February 17, 2011

I personally think technologies like Watson are related to the tradition of expert systems (though Watson is way more sophisticated). If you look for a more serious area than playing chess or manipulating quiz shows, I have a great proposal. The most critical applications to a company’s daily business are ERP-systems. Watson would be very useful to analyze ERP-data, process contents and reason about them to support management in their decisions. The business requirements are most suitable to a new generation of Expert Systems built on modern ERP-systems and capable of natural language processing.

Posted by: Konstantin Benz
February 10, 2011

This is really the future. Not “just” playing chess and calculating possibilities, but really analyzing human language and improving its abilities self-sufficiently within a blink of an eye.

Posted by: Nicole Dressler Weiglein
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