Ooyala, Jinni enhanced video discovery

Jinni, the creator of the Entertainment Genome and semantic video discovery, is to team up with Ooyala, an innovator in video streaming and analytics, to deliver advanced video discovery technology for media companies, broadcasters and pay-TV operators everywhere. The technology will integrate Ooyala’s machine-learning big-data analytics systems with Jinni’s semantic discovery to deliver a powerful new level of video personalisation for all screens.

Jinni and Ooyala will work together to develop and deploy a completely new level of machine learning powered by semantic discovery that will allow TV providers to tailor programming and video viewing experiences to each individual user at a very granular and powerful level; offerings such as personalised channels, custom programming guides, mood-based browsing and search, and viewer recommendations for both live and VoD content across vast catalogues of content.

The companies expect to have joint services in pre-release with select customers in the first half of 2014, with more broad availability in the second half of the year.

Chris Wong, senior vice president of business development for Ooyala, said that with digital consumption driving a much greater percentage of overall TV viewing, advanced video discovery was becoming an imperative for viewer engagement and monetisation. “Keeping an increasingly fragmented viewing audience engaged and entertained with only the most relevant and desirable content is a challenge every pay-TV operator in the world faces. Working with Jinni, we’ll be setting new standards for what discovery means to both the consumer experience and the operator’s bottom line.”

Noting that Jinni is the most deployed video discovery solution to tier-1 pay TV operators worldwide, Yosi Glick, Jinni Co-founder and CEO, said that bringing Ooyala’s big data infrastructure, collaborative filtering technology and real-time analytics together with Jinni’s semantic recommendations, would enable the delivery of the industry’s most compelling personalisation platform for TV.

Separately, Jinni, announced that its platform has been implemented on Canadian telco TELUS’s set-top-boxes for on-demand TV and movie content recommendations on its Optik IPTV service.

In addition, taste-and-mood based recommendations will reach TV audiences across Spain on the CANAL+ /YOMVI network. This is the first Spanish language set-top box deployment of the multilingual Jinni solution and represent a further penetration of the next-generation user experience into the TV market in Europe with linear TV and on demand content recommendations.

Posted by on Jan 7 2014. Filed under Articles, Content, Middleware, Search/Recommendation.

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