IBM chooses to snatch the limelight in this year’s U.S. Open with its Watson AI system. Other than solving America’s broken criminal sentencing system, it is creating highlight videos of the tennis matches. The tech honcho has recently launched its suite of Watson generated AI solutions for its enterprise customers, and the US Open is already resorting to it for acquiring the highlights of the matches. IBM refers to this suite as the “Watson Media,” and the US Tennis Association is using one of its features termed as “Cognitive Highlights”.

The striking functionality of this innovation states about searching for the most exciting parts of the match, with data based on the crowd’s cheers as well as the players’ gestures and facial expressions. This then automatically leads to the generating of the videos of the most thrilling moments of the matches, which are later published on the US Open apps and posted on Facebook.

 

 

  Image Credit: The Stack

 

Regarding this new innovation, IBM VP of sports and entertainment partnerships, Noah Syken, regarded that “The US Open is packed with so much action across so many courts that even the fastest video team is challenged to keep pace with what’s happening. To meet that challenge, Watson is now watching the matches alongside the USTA”.

Other than this Cognitive Highlights, the US Open has also resorted to Watson’s Conversation API to power its Cognitive Concierge app. This would be quite similar to Wimbledon’s Watson-driven assistant Fred, which assists the guests, providing them with shopping, dining, and other searched options, around the venue.

Lastly, this Watson Media, has more to offer, other than these two services. These include identifying violence and adult content in videos that need a close scrutiny and can suggest more informed content suggestions for video platforms. The good part of the story here remains that, any company can avail these services, and the makers are likely to come up with more of the Watson-powered capabilities often in the future.

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