AI in Media and Entertainment

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For many years, the media has functioned similarly to the nervous system which people use to receive external information and perceive the outside world. The media's role is to disseminate information and assist the public in learning about and judging the world around them. With the advent of the Internet, everyone now has access to the media, and the number of channels for obtaining information, as well as the number of its consumers, has grown dramatically. Smart media will change the way we communicate even more, with clicks and mouse movements aligning with biological features like voice. According to a recent Reuters Institute report, artificial intelligence in media is already being used to significant extent. Personal recommendations, news editing assistants such as fact-checking, and news flow optimization are examples of these. Furthermore, the changes brought about by artificial intelligence will impact all aspects of the media sphere. We can predict the arrival of a new era of "smart" media.

With the advent of the Internet, everyone now has access to the media, and the number of channels for obtaining information, as well as the number of its consumers, has grown dramatically.

Artificial intelligence in social media and media altogether will change the way we communicate, with clicks and mouse movements aligning with biological features like voice and face, allowing media to become more personalized and differentiated, resulting in more news.

Most common AI Use Cases

Graphic representing AI in Media and Entertainment

Change subscriptions

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    To receive a requested finished product and to create a specific information product.

Data mining for audience micro segmentation

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    The media will be able to quickly serve individualized requests and, as a result, will transition from the role of intermediaries to a new information source at the user's request.

New audience relationships

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    In which the media will play three roles at once: proactive (individualization of content without a special request from the user); reactive (individualization through recommendations); passive (via voice assistants - Alexa, Siri, Google voice...).

Author personal brand registration or patenting

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    To avoid replication of a journalist's uniqueness - voice appearance, which can potentially be used to package and transmit content.

Project References

Group 3177

How Artificial Intelligence can support Content Recommendation AI in Recommendation Content

Group 1277

Category

Core Machine Learning

Client

Media Company

Potential industries

Telco, Retail, Insurance, Finance, Education

Industry

Media
Graphic showing the AI Project Lifecycle

Our Project Approach

The AI ​​project lifecycle has been adopted from an existing standard used in software development. Also, the approach takes into account the scientific challenges inherent in machine learning projects involving software development processes. The approach aims to ensure the quality of development. Each phase has its own goals and quality assurance criteria that must be met before the next stage can be initiated.