When average TV viewers are channel surfing on the couch, they probably aren’t thinking too much about big data. But it’s already beginning to shape the viewing experience, namely by providing recommendations. And as time goes on, it will begin to have an even bigger impact. As the amount of video content—and video viewers—grows, so

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When Juan Martin del Potro faced Dominic Thiem on Day 8 of the US Open, die-hard tennis lovers might have been excited, but it didn’t have the hallmarks of a “must see” event for casual fans. Few expected del Potro, ranked 24th, to advance. But when he staged one of the best comebacks in US

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For all the great strides that live streaming video has made in the 21st century, the captioning process has remained largely stuck in the past. Humans still do the heavy lifting by manually typing captions word by word. Captioning pre-recorded video can take up to 10 times longer than the video itself — and the challenge

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By 2021, video is expected to comprise 82 percent of all global internet traffic. For the web audience, expectations of high-quality, personalized content are rising, too. Many streaming video companies have been looking to artificial intelligence to meet the changing needs of their audience. And, according to David Kulczar, senior product manager of Watson Video Analytics at

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In the past few years, there has been a major shift towards video content as the primary form of media. Considering this momentum, the importance of closed captioning has only increased. However, delivering closed captions at scale is challenging for media and entertainment companies—they are costly to create, and the manual undertaking can be burdensome

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In media, context is everything: Just as a hand signal that means “V for victory” in one country may be incredibly offensive in another, what’s culturally acceptable in a television show in the U.S. may be verboten elsewhere around the world. By flagging questionable content for media compliance, Watson not only saves time and costs, but opens

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