Video: IRIS.TV Machine Learning Yields Personalized Video Streams – Beet.TV

by | Nov 8, 2016 | Video | 0 comments

  ON @STEVEELLWANGER

BOSTON – Akin to what Pandora has done with streaming music, IRIS.TV brings adapted machine learning to video viewing preferences. Its white-label solution, licensed to digital publishers, uses artificial intelligence to create a “personalized viewing experience for every viewer,” according to CEO and Co-Founder Field Garthwaite.

“We ingest the archive from a publisher, look at the content and meta data on the content, structure and classify it so that the content is more easily discoverable over time,” Garthwaite says in an interview with Beet.TV. “We match the right video to the right viewer in real time.”

This translates to several hundred million video views through the IRIS.TV Video Programming Platform each month. “Some of our customers alone have over a million videos,” says Garthwaite…


 Read Field Garthwaite’s whole interview at Beet.TV


Learn more about how IRIS.TV is helping The Hollywood Reporter and Billboard increase video consumption, engagement, and retention by downloading a case study.

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