If you aren’t working in the field of machine learning, you might think it sounds like something from the future, a tool for people 100 years from now. But that’s actually not the case. Machine learning is already here, and a surprising number of businesses — from startups to food manufacturers to retailers — are using it right now in 2020.
In fact, there are thousands of people using machine learning tools for things as varied as identifying endangered species to helping kids become better writers.
Machine learning is a win for advertisers, since they get higher engagement with their ads, and it’s a win for viewers since people are served commercials that align with their interests and tastes.
Over the past several years Microsoft, Amazon and others on the cutting edge of machine learning have been working on new technologies that will change how video creators, distributors and advertisers use video. Here’s how:
Reducing manual workflows
Time-consuming tasks — like real-time translations and closed-caption creation today are mostly done by hand. For content creators churning out a lot of video content, this means keeping someone on staff full time.
Video-related machine learning products, like AWS’ Rekogition, IBM’s Watson are gaining traction in the video industry by automating these tasks with ever-increasing accuracy.
Better monetization
Machine learning technology can even serve more relevant ads to viewers, right at the perfect moment. If a certain logo is shown in a video, for example, machine learning technology can automatically identify the logo and serve an ad from that brand to the viewer at the next commercial break.
It’s a win for the advertiser, since they get higher engagement with their ads, and it’s a win for viewers since people do actually want to watch commercials that align with their interests and tastes.
Better viewing experiences for viewers
Recommendations engines on YouTube, Netflix and other video platforms have come a long way since their early beginnings. Machine learning technology is now being used to help surface videos that they think will keep you on the platform watching.
Machine learning can even offer futuristic experiences, taking viewers to an exact scene within a video. “Show me the scene where Richard gets fired from Pied Piper in Silicon Valley,” for example, isn’t too far off.
Stay tuned, there’s more to come
Machine learning can make, distribute and monetize video content more efficiently than ever before. While more industries see the benefits to incorporating more machine learning-related technologies into their businesses, video creators, distributors and viewers will see some incredible experiences up ahead. Stay tuned.
To get started using machine learning in your next video marketing campaign, contact Sharp Eye Animation to discover why we’re the company marketing teams turn to for their end-to-end video needs.
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