The distribution of material in the worldwide media and entertainment business is undergoing a revolution. Because to the widespread availability of content creation equipment including high-resolution cameras, content development software, and cell phones, almost anybody can now create, publish, and distribute audio, video, and text content.

The global reach of the internet has expedited this developing tendency, which appears to be replacing traditional media instruments like cable and radio with on-demand streaming services like YouTube and Netflix. As a result, customers have a large and diversified selection of media consumption options to choose from.

As a result, media firms must improve the quality and amount of material they provide in order to attract more customers and boost their brand value. Media firms are turning to and becoming increasingly reliant on technologies like AI to assist them achieve this aim.

Artificial Intelligence (AI) is being used in the media and entertainment business to help media organisations improve their services and overall client experience.

Few Prominent Examples of AI in Media

·        Metadata tagging

·        Content personalization

·        Reporting automation

·        Subtitle generation

Conclusion

The role of AI in media and entertainment is only likely to grow and develop more in the future, as competition and the growing need for efficiency continue to expand within the industry. Media and entertainment firms can improve their business performance by enhancing the user experience and entertainment value they deliver with higher efficiency by studying and experimenting with the AI use cases outlined above.