Machine Learning: The Best Fit for Media and Entertainment

By CIOReview | Monday, July 1, 2019

Machine learning is a unique technological boon which is revamping the media industry and its processes in several ways where more efforts are invested in understanding the audience.

FREMONT, CA: Media and Entertainment industry revolves around providing the consumers with engaging content to improve viewership and to build an audience base. Technology has always complemented the media industry since time immemorial, and today, the industry is transforming at a lightning pace. In such a dynamic scenario, it is essential to incorporate the existing technologies while also preparing for the latest innovations and the means to leverage them. Machine learning (ML) is a unique technological boon which is reshaping the media industry and its processes in several ways where more efforts are invested in understanding the audience and their taste.

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ML in Action

ML has a huge potential to enhance user experience. It can help to tag image or text archive for a better search experience. With recommended systems, relevant content can be pushed to listeners, readers, and watchers. Sequence-to-sequence learning enables to translate not only from one language to another but also from one style of writing to another, which can help the contents to reach a distinct audience. Further ML is enabling personalization for the consumers with the help of algorithms a similar content to the consumer based on his past consumptions.

Challenges for Data Scientists

The major challenges that the data scientists have to deal with include understanding the business problems in the industry and obtaining the right data sets for their work. Another challenge is to develop infrastructure and inter-divisional communication that will eliminate the need for the projects to be started from scratch.

Data scientists often provide significant insights, but they are rarely a part of the implementation teams. Providing data science teams with such direct control increases productivity dramatically.

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Next Wave in Media and Entertainment

Apart from the continued developments in content personalization, numerous integration across media experiences are expected, such as digital video and widespread implementation of digital assistants to facilitate content discovery. AI also has a crucial role in content creation and leading the industry toward immersive virtual reality experiences. The innovations are already shaping the industry in numerous ways.