Artificial Intelligence has penetrated the field of software to customer service to biotechnology to smart devices. Same is the scenario in the film and entertainment industry, visual design, post-production, e-commerce customer service, etc.
A bulk of data work is dedicated to audience understanding which enables the creation of personalized entertainment and content. AI-driven audience insights help in business strategy, marketing, and content creation. Machine learning models deliver the most relevant content to the target customers to keep them engaged. Customer service in the media and entertainment industry is used as a potent tool for extension of brand identity and ability to drive business. Personalization of content creates integration across media like audio and video platforms. Digital assistants aid in the discovery of relevant content. AI is often used for immersive virtual reality experience. AI-powered writing assistants help authors and writers to create content pieces and stories for various social-media, print-media, and other platforms. It is often used to derive insights on customer engagement, performance statistics of your Instagram or Facebook for a business profile. It is also used for retrieving data through social media optimization. AI is influencing the ways that audiences discover and engage with content. It has been constantly changing both audience behavior as well as the creative process of developing media and advertisement content. Media and entertainment platforms are changing from ‘watch-only’ to a fully interactive medium. TV channels are collaborating with DTH connection like Dish TV to create customized advertisements.
Data scientists are using AI to analyze the data of viewers of TV shows, to identify customer behavior patterns. Intelligent machine learning techniques are deployed to suggest targeted advertisements based on their watching patterns. You can check all Dish TV packages through your registered mobile number.
Netflix uses Meson, an AI-powered workflow management, and scheduling application to create custom recommendations. This intelligent machine learning system analyzes 125 million hours of TV shows and movies watched on Netflix, to predict the shows that will attract the user’s interest. Software like Pippa enables podcasters and live broadcasters to insert ads into their offerings, using AI to identify the ideal ad content. Another software Jaak uses blockchain technology, which helps the content producers to identify where, when and who streamed their videos. IBM is using the AI system, Watson, to create video trailers comprising the most significant moments of a movie. Google uses AI to intelligently position ads to a potential customer. For example, dog food appears in a pet related website, but a KFC advertisement will not appear on a site for vegetarians.
These are some ways that AI is creating a powerful impact on the media and entertainment industry through innovation and intelligent learning of audience behaviors. There are many milestones that the field of AI is currently pursuing.
|