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Popular AI Applications For The Media and Entertainment Industry

AI Applications For The Media and Entertainment Industry

Artificial intelligence solutions have paved the way for a variety of industries, and they’re playing a huge role in reshaping the media and entertainment industry. A study claims that the spending on AI by the media and entertainment industry can be increased by $1.86 billion by 2025.

AI assists in the creation, editing, and distribution of audio and video content to large and targeted audiences.

Traditional media has evolved as a result of the internet and technology; viewers increasingly consume material from on-demand streaming services like Netflix and Prime Video. Various media companies now have digital websites where they conduct the majority of their operations.

Since the consumer now has an endless number of options, this change has resulted in the creation of more information and content. Nowadays, media and entertainment companies use artificial intelligence applications to meet their objectives and satisfy their consumers.

Let’s take a look at how AI applications help the media and entertainment industry.

How AI Applications Help the Media and Entertainment Industry

  • 01. Personalization of content –
    AI and machine learning assist in evaluating an individual’s demographics and consumer behaviors to understand their watching habits and offer personalized content. AI applications allow companies to develop content for customers based on their specific needs or preferences. It also predicts the type of content that should be promoted to the consumer which can create some unexpected hit shows or movies like “ Money Heist”.

  • 02. Search engine optimization –
    SEO is one of the best AI applications as there is a large amount of information and data available on the internet, and AI assists in showing the most relevant and accurate sources. There was a time when you needed to type into the search box to find what you wanted, but now just by a look, you can get personalized results.

  • 03. Metadata tagging –
    Thousands of content packages are being produced in a variety of genres, and as the entertainment industry is so vast and has so many competitors, it is difficult to make it easier for consumers to find content that suits their interests. The solution to these problems is to use AI applications (AI video intelligence devices) for assessing content and adding relevant tags. Media and entertainment companies use these applications as a way to make their content more discoverable to consumers.
  • 04. Virtual reality and augmented reality –
    The scope of virtual reality and augmented reality is high due to the demands of gaming applications. It is one of the popular sections of the media and entertainment industry. With the help of Artificial intelligence, it can create interactive content for gamers with various virtual motions that can be a boon to the industry. Artificial intelligence applications help create a new and personalized experience in the virtual world that attracts the audience.

  • 05. New subtitle generation –
    The world is built up of many different languages and races. International media and entertainment organizations rely on producing multilingual subtitled video content to reach their global audience. However, doing it manually will require a significant amount of time and work. Media and entertainment companies began to leverage AI applications such as natural language processing to solve the problem.

  • 06. Robotic journalism –
    Robotic journalism, also known as automated journalism, uses artificial intelligence (AI) to create news items, emails, and data analytics, and can even write a whole report or narrative by itself. Machine learning and natural language processing are used to process the raw data and turn it into news stories.

  • 07. Privacy management and content security –
    Artificial intelligence applications help in the administration of digital rights and royalties, which has a significant impact on privacy and security in the media and entertainment business. It evaluates consumer engagement through subscription-based services and fan engagement. It facilitates the storage and protection of the media industry’s workload.

Conclusion

AI will be more prevalent in the industry in the coming years as competition grows. Now the media and entertainment industry is adopting such technologies and solutions to increase efficiency and customer satisfaction by providing users with what they want.

Jellyfish Technologies helps media and entertainment businesses to be more efficient in their content creation and distribution through technologies like artificial intelligence, machine learning, and natural language processing, among others.

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