All posts by Laney Lewis

What the Big Game Might Have Looked Like with Watson

Sports Highlights Analysis

While the audience for the biggest football event of the year—111 million strong—was on par with previous broadcasts, the game itself posted its lowest ratings in the past three years. Coming off of a less-than-stellar regular season, which saw a 9 percent drop in ratings, it’s safe to say that viewers felt something was lacking.

One factor that might account for this dip is a lack of personalized content and opportunities for interactivity. Everyone saw the same game in the same way, and while that may have been the standard up until now, artificial intelligence is raising the bar.

IBM Watson is no stranger to the sports world. Just this year Watson did sports highlights analysis and assembled highlight reels for the Master’s Tournament. It also predicted match outcomes during Wimbledon. And had Watson had a hand in the biggest football game of the year, FOX may have been able to deliver a more engaging broadcast for viewers—and even been alerted to lulls in audience attention to counteract them in real time. Artificial intelligence has the power to change the live broadcasting game. Here’s a closer look at what the NFL’s big game might have looked like with Watson in play. 

Related to these AI advancements, be sure to read our Outsmart your Video Competition with Watson white paper on how Watson will be used to unlock deep insights from untapped video content you’re generating.

Contextual Video Advertising: Why It Matters and How AI Can Help

Contextual Video Advertising: Why It Matters and How AI Can Help

Have you ever watched a sad movie on TV that was suddenly interrupted by an upbeat, loud ad? How did it make you feel? Did you suddenly find yourself switching gears emotionally? Did the ad seem jarring and inappropriate? Did you wind up resenting the advertiser?

There’s ample evidence to back up the belief that video advertising performs better when it aligns with the consumer’s mood. A 2015 report from Oxford University, for instance, showed that upbeat, cheerful ads that ran during a moment of tension during a movie made far less of an impact with consumers, leading to diminished brand recall and shorter viewing times. The swing in emotions causes viewers to enter a state of “deactiviation,” marked by lower physical and cognitive activity.

Unfortunately, few advertisers are taking context into account. But they have the power to, using contextual video advertising that is enhanced by artificial intelligence capabilities. AI tools and precision targeting are allowing advertisers to better sync their ads with the surrounding content—and the viewer’s mood. Read on to get a sense of where this market is and could be headed. Also, be sure to check out the Outsmart your Video Competition with Watson white paper too for an idea on how IBM’s Watson will start to change this landscape.

To Win in Streaming Media Services, Get Clever with Data


To Win in Streaming Media Services, Get Clever with Data

Verizon could be the latest to enter the fray in the well-populated streaming media services market. This summer, the telecommunications giant has potential plans to launch a new Netflix competitor. But there’s a problem: according to Derek O’Donnell, senior research analyst at Gartner, the average limit for subscriptions to online streaming services is three, and between Netflix, Hulu and Amazon, that leaves little room for another behemoth.

So how do streaming media services compete? The instinctive answer: get more data on your customers. But that’s not quite sufficient.

“There’s no one on the planet that has more data than the streaming services other than Google and Apple,” says Dan Rayburn, a consultant and speaker on the streaming video business. Essentially, Netflix and friends are already drowning in the same quantity of data as one another. “They obviously all know what their customers are watching and then use that data on the content they feature. It’s not like one has more data than the other.”

For streaming media services, finding a competitive advantage when they have the same data as their competitors means getting creative with that data—and using it to make smart decisions that will benefit their bottom line. While there are many ways to do this, here are a few top tips. For those looking to get an idea of how the market might change, though, and give themselves an edge, be sure to check out Outsmart your Video Competition with Watson white paper as well.