A machine winning Jeopardy – welcome Watson!

4

October

2019

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For everybody who has not seen this major step in AI technology: Here you go! A machine beating two of Jeopardy’s greatest champions.

Where did Watson come from?

There it was, suddenly. But of course, Watson needed time to develop and to prepare for its public performance. Watson was born five years before its TV appearance when IBM was searching for the next “Grand Challenge”. Grand Challenges projects are run periodically by IBM, challenging a machine against a human. The aim is no bottom-line contribution, but rather creating some buzz on the market.

One of the biggest challenges was mastering the complexity of natural language. “A lot has to do with ambiguity or things being ill-defined”, says Dr Gerald Tesauro, a principal research staff member at IBM’s TJ Watson Research Center. Playing Jeopardy, Watson needed to deal with puns, double meanings and other wordplays.

After Watson was finally developed to the stage, that their developers believed in the challenge they took, Watson got trained to play 100 games against past winners to improve its chances to win.

And then: Win for Watson!

But, what has Watson been up since winning Jeopardy?

Watson revolutionized cognitive and programmable computing. Each day, it is processing more than 2.5 billion gigabytes of data. By simulating human thoughts further improving through machine learning, Watson is reducing the biases and errors in decision making. While Watson was running on a set of servers that could fill the size of a huge bedroom during the Jeopardy game, Watson is nowadays living in the IBM Cloud. 

Back then, after winning Jeopardy, the first real-world application of Watson was announced immediately: Healthcare. IBM cooperated with several companies and universities to develop Watson technology to assist physicians in deciding on treatment. Watson Oncology, commercialized in February 2013, assisted cancer diagnosis and treatment. Nowadays Watson is integrated into a wide range of decision making in the clinical environment, identifying several illnesses, thus enriching human capabilities.

2016, Watson has been incorporated into about 17 industries, like retail, music, law, hotel business and even cooking. Seems like Watson has been growing up and can take decisions itself. But that’s not yet the case. Nwuke, an IBM Watson ecosystem manager, says: “Our perspective is that you can’t take the humanity out of it. There are a ton of opportunities that can be met by [technology]. There are a ton of challenges that can be overcome by it. But, at the end of the day, it is that partnership between man and machine that matters most.”

The Future of Watson – what do you think?

Watson’s developers had no idea about the scope of its commercialization. Now it’s a realistic application operating in various industries – a real game-changer. But what about the future? What do you think about Watson? Does IBM’s technology have the potential to further conquer or even disrupt? Or did Watson experience its magic moment already?

 

Sources:

https://www.youtube.com/watch?v=P18EdAKuC1U

https://www.ibm.com/blogs/watson/2017/06/why-it-matters-that-ai-is-better-than-humans-at-their-own-games/

https://www.inverse.com/article/13630-what-has-ibm-watson-been-up-to-since-winning-jeopardy-5-years-ago

Try Watson Visual Recognition yourself: https://www.ibm.com/watson/services/visual-recognition/demo/#demo

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