March 2010
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Utilizing AI in Media and Entertainment

Artificial intelligence is a new boom for the media and entertainment sector which offers personalized content based on users data obtained from their activity and website. AI will be used to increase the speed and efficiency of the overall classification and search process.

Some popular applications:

Movie Production: Movie production involves multiple procedural areas where AI can automate tasks such as breaking down scripts, storyboarding, generating shot-lists, creating schedules, and managing movie budgets. AI may soon be able to create content independently.

Automated Subtitles: Creating and synchronizing subtitles with lip movements in videos and movies can be complex tasks. Even a slight delay in displaying the subtitles can result in audio and subtitles being out-of-sync.

Video Games: AI is commonly used in games to control non-player characters (NPCs). NPCs react to a player’s movement and actions. AI has made video games more interesting and challenging.

Sports Broadcast: AI systems can be trained to identify objects and actions in sports events. AI can also use footage captured by drones to deliver broadcast that offers engaging content as well as deeper sports insights to deliver action-packed sports broadcasting.

Moderation: Every country and platform has certain regulations regarding which kind of content can be broadcasted. With this technology, streaming services and broadcasters can moderate content on their platform and provide suitable ratings such as 7+, 13+, or 18+.

Content Classification and Categorization: Online streaming platforms have countless movies, TV shows, and songs. Streaming platforms have to optimize their search algorithms to help users find relevant content. AI can be increasingly helpful in optimizing search algorithms for streaming platforms.

Personalization:Consumers are demanding personalized content that can cater to their preferences. To deliver personalized content, streaming services can recommend content that suits a consumer’s personal taste. AI models can be trained using each consumer’s content preferences and viewing patterns. By collecting consumer data, AI models can offer personalized content suggestions that are tailored to every viewer.

Movie Marketing: Production houses can use AI to deliver interesting content for marketing. AI systems can be trained using large volumes of data such as images, videos, and text to identify and analyze objects, language, and design concepts. With the help of acquired data, AI can help design posters and videos to promote a movie.








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