Applications of AI in the Media & Entertainment Industry

The entertainment industry is booming, and AI has provided its input. Many professionals in the fields of filmmaking, marketing, advertising, game development, and a variety of entertainment services accept on AI unleashing an entirely new approach to AI creativity. Most of the entertainment companies adopt AI to drive investments in the years 2011-2020 and focus on delivering high-quality content that grabs the attention of audience.
Augmented Intelligence and robots find applications in entertaining viewers and offering them an excellent next-gen experience. Tech and Entertainment giants like Blizzard Entertainment, Google, Walt Disney World, Intel, and Microsoft are in the job of creating and introducing AI-based innovations to the field of entertainment.
In this blog, we are going to give a brief overview of some of the applications and use cases of AI in the entertainment industry to help you better understand the importance of AI in the entertainment industry.
As per the research reports of PWC, the Media and Entertainment industry’s revenue is expected to reach $2.2 trillion in the coming three years. The growth rate of this industry has to feel 0.2% in the year 2017, with most companies turning to AI to grow their business revenue.

How AI is Transforming Media & Entertainment Field?

Here are the four categories where AI technology can be used widely in the Media and Entertainment Industry.
#1 User Experience and Personalization
As customer experience personalization becomes more complicated for the entertainment industry, most of the companies are using artificial intelligence to create more personalized services for billions of users.
For example, recommending content tailored to their personal tastes when users shop online, browse a video site and robustness for users with varying Internet bandwidth and speeds.
The popular entertainment platform Netflix has adopted AI technology in May 2016 intending to give the utmost personalized experience its subscribed users. This AI-enabled system will automatically manage several machine learning pipelines that offer movies/shows/program recommendations.
As per the Annual Report of Netflix’s in the year 2016, 93 million users across the world are streaming 125 million hours of movies and TV shows per day on the Netflix application. The success key to the Netflix platform is recommending the shows or videos that users are browsing or viewing.
Netflix has partnered with the Nantes University in France and the University of Southern California in the USA to create a new machine learning method called Dynamic Optimizer that ensures a smooth and high-quality streaming experience for its users, especially in India and Japan.
Now, let’s have a look at some of the best practical examples and use cases of advanced technologies like artificial intelligence, data science, deep learning, and machine learning in Netflix.

Use case of AI/, Machine Learning, & Data Science at Netflix:

i) Personalization of Movie Recommendations –
Users who see ‘A’ are more likely to see the continuation i.e. ‘B’. It’s a popular feature of Netflix platform. Netflix uses the previous history of other interests with similar interests, recommending that you look forward to watching more so that you stay engaged and further your monthly membership.
ii) Auto-Generation of Thumbnails –
Showing video frames as an initial point for thumbnail generation or using hundreds of frames from an existing film, Netflix illustrates these photos and then tries to determine which thumbnails are the most recognizable in your click.
iii) Film Editing (Post-Production) –
Using historical information when quality control checks have failed in the past (synchronizing subtitles to sound/movement) is a very time-consuming and tedious process to assess when manual checking is most beneficial.
iv) Streaming Quality – 
Using past view data to assess bandwidth usage to help Netflix decide when to cache local servers during peak load times during peak demand.
#2 Media and Advertising
Artificial Intelligence in the Entertainment field is used for marketing or trading aspects that include advertising, design, and film promotion. Smart AI algorithms can come up with the top advertising and marketing solutions. With Artificial Intelligence, predictive analytics can make all marketing processes faster by using analytics. AI-driven marketing software helps in terms of addressing audience goals, creating promotional strategies and making effective customer solutions.
For examples, there is an excellent AI-based graphic design tool in the market named ‘Alibaba Luban’. It is a wonder that it creates a hundred times faster visual designs than humans that means it will create 8000 banners in just a second. Humans cannot defeat this amazing technology.
IBM, the multinational technology-based company, has created a movie for the horror movie titled ‘Morgan’ using AI technology. The algorithms analyze over 100 typical horror movies, visual and audio elements to create the most exciting and fascinating moments to be seen in the movie trailer. So, it will take just 24 hours to make a 6-minutes trailer, which usually takes a week of human to complete the same tasks.
#3 Extensive Usages of VR and AR
Virtual reality (VR) is projected to be the rapidly growing segment in the media and entertainment space, as per the 2017 Global Entertainment and Media looTook. It also stated that 68 million VR headsets would be sold in the USA in the coming three years, thus raising VR content revenue to $ 5.0 billion.
However, use of AI can help create AR/VR interactive content. Using AI techniques, the entertainment industry can do wonders and create breathtaking scenes with a pair of goggles by using AI techniques.
Of course, the virtual reality content development for food shows, reality shows, and live events/programs based on Artificial Intelligence draws consumer attention. With all these advanced technologies, watching shows and movies with real impact will not be a dream, it undoubtedly happens in the future.
#4 Search Optimization
As there is a vast amount of information available online, sometimes it’s really tough to find what you exactly needed. Artificial Intelligence has come to help make search results more similar and accurate. Thanks to advanced technology, it is very simple to do the work like uploading an image and rather than typing, you can get a same picture based on its visual appearance.
Let’s take ClarifAI as an example, a start-up company focused on computer vision technology and has collaborated with Vintage Cloud to implement Artificial Intelligence on the movie digitization platform. Vintage Cloud has quickened the progress of film content categorization and classification, using ClarifAI’s Computer Vision API. People need much time to find out objects in the film, but AI can do it a very short time.

Best Applications of AI Technology in Media and Entertainment Industry

1) Content personalization:
Popular video and music streaming platforms such as Netflix and Spotify have been successful because they have different tastes and user preferences for people of all locations.
Companies such as Netflix and HotStar use machine learning and AI algorithms to study user demographics and behavior, recommending that they be more interested in seeing or hearing them constantly engaged. As a result, these AI-based platforms provide users with content that satisfies their specific interests, thus providing them with a highly personalized experience.
2) Meta Data Tagging:
As huge amount of creative and engaging content being created every minute, making these items easy to classify and search for viewers can be a daunting task for the employees of media and entertainment companies. This process requires watching videos and identifying locations, scenes, and objects in video to classify and add tags.
To carry out this work on a large scale, distributors and media creators like CBS Interactive are using Artificial intelligence-based video intelligence tools to keenly analyze the content by identify and frame objects to include suitable tags.
3) Reporting automation:
AI not only automates minute-by-minute or day-to-day operations but also helps media organizations make strategic business decisions. For example, leading media companies are using technologies like NLP and ML to generate channel performance reports from raw advance analytics information shared by the Broadcast Audience Research Council of India (BARC).
The weekly data normally received from the BARC is usually in the form of large excel sheets. Analyzing these excel sheets once a week proves that it is very difficult for the analysis team to generate and implement meaningful exercises.
4) Subtitle generation:
International media publishing firms should make their content useful for audiences from various regions. So, they need to provide accurate and eye-catchy multilingual subtitles for their video content platforms. Manually writing subtitles for multiple movies and TV shows in dozens of languages may take thousands of hours, much time and efforts.
In addition, it is difficult to hire right candidate to translate content into dozens of languages. Also, human translation is also subject to errors. To overcome these challenges, media and entertainment sector is using AI-based technologies like natural language production and natural language processing.
For example, YouTube’s Artificial Intelligence enables its publishers to automatically create closed catchy captions for videos uploaded on the platform, giving them easy access to their content.

Wrapping Up

As the need for competition and efficiency in the industry increases, the role of AI in entertainment and media industry is expected to increase only in the coming years. AI is a powerful engine for distance change that reshapes the landscape of the field.
By exploring and experimenting with the above and other AI usage cases, entertainment and media firms are enhancing their business performance by maximizing the entertainment value and customer experience they provide.
USM Business Systems has been at the forefront of helping clients in the field of Mobile Application and Artificial Intelligence fulfills their project ideas.
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