A machine-learning app for TV show acquisitions

Date of publication: November 18, 2016

Abstract:

As The Wall Street Journal reported last year, streaming services such as Netflix and a rise in original TV programming have impacted the once-lucrative syndication market. After taking major losses on network hits, cable executives now have to scrutinise the value of rerunning a successful show before investing. Viacom has built an accessible, visually appealing app that uses statistical and machine-learning techniques, such as clustering, predictive modeling, and collaborative filtering, to help the media industry make quick decisions that will benefit brands and their audiences. By "gamifying" data, we have made the app user friendly for acquisition experts, marketers, content strategists, and others outside of STEM fields who have shied away from quantitative analyses in the past.

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