Applications of AI in the Media & Entertainment Industry
AI In Media And Entertainment Industry
The media and entertainment industry is perceiving rapid growth worldwide. With the support of high-speed network availability and trending video streaming platforms like YouTube and Netflix, the users are accessing unlimited entertainment on the go.
According to the market research reports, the global revenues of the Media and Entertainment industry are 2 trillion U.S. dollars in 2020 and are expected to reach nearly USD 2.6 trillion by 2024. This rapid growth is primarily because of the people’s switch from traditional media channels like cable and radio to digital or mobile streaming mobile applications.
This positive trend is creating increasing competition across the media and entertainment industry. Until and unless the companies deliver quality media content with high-resolution pictures, they cannot attract many consumers to drive higher business value.
Artificial Intelligence (AI) technology-based applications can handle this more efficiently and strategically. Implementation of AI in media and entertainment industry would help companies to build digital solutions that help media and entrainment services providers deliver quality services and enhance their customer experiences.
Many professionals in the fields of filmmaking, digital marketing, advertising, game development, and a variety of entertainment channels are adopting AI and unlocking new digital approaches to deliver high-quality content to grab the attention of their audience.
In this blog, we are going to give a brief on significant AI use cases in media and entertainment industry to help media companies better understand the importance of AI in entertainment industry.
Top AI Use Cases In Media and Entertainment Industry
Here are a few AI use cases in media and entertainment that are transforming the traditional business ways of entertainment service providers.
How AI is Transforming Media & Entertainment Field?
#1 Enhanced User Experience & Personalization
Due to intensified completion across the industry, engaging customers for long hours and increasing brand credibility is a challenge for media companies. Artificial intelligence in entertainment industry improves customer experience and ensures personalization. The entertainment channels are using artificial intelligence to offer more personalized services for billions of users who are accessing their services online.
AI systems or applications can monitor search patterns of the users and help media companies offer more personalized content recommendations to specific users. For instance, recommending quality content tailored to the user preferences when they shop online or browse a video will help digital media channels attract as many consumers as they can and improve brand performance.
The popular entertainment platform Netflix has adopted AI technology in May 2016 to provide the utmost personalized experience to its subscribers. These AI-enabled features in the Netflix app will automatically manage various functionalities and offer more personalized video content recommendations to users.
This upgraded AI service from Netflix has increased its paid subscriber base to approximately 193 million worldwide as of June 2020. Of which, with contributing nearly 40% of subscriber volume, the United States has remained as the revenue-contributing region to Netflix.
To further upgrade the services, 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 intends to provide a smooth and high-quality streaming experience for its users, especially in India and Japan.
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Use cases of AI, Machine Learning, & Data Science at Netflix:
a) Personalization of Movie Recommendations
AI in entertainment industry has a great impact from content creation to consumer experience. Netflix has realized the benefits of using AI in media production. Users who see ‘A’ are more likely to see the continuation i.e. ‘B’. It’s a popular feature of the Netflix platform. Netflix uses the previous history of other interests that matches specific user preferences and recommends relevant content to maintain a long-lasting connection with subscribers.
b) Auto-Generation of Thumbnails
It is another advantage of using AI for video streaming services. 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.
c) Film Editing (Post-Production)
Editing and synchronizing movie subtitles to background sounds and front-end images manually is a time time-consuming and tedious process. But, the adoption of AI in media and entertainment is most beneficial in terms of process automation and avoiding manual checking.
d) Streaming Quality
AI video enhancement software apps can help media and entertainment channels like Netflix improve the video quality and let devices consume less mobile data required to stream. Netflix has upgraded its code by embedding ML algorithms for improving streaming quality.
Currently, nearly 117 million subscribers are streaming Netflix videos. If this is the case, how much traffic should Netflix handle in a second? To deliver quality streaming services in seconds to its subscribers throughout the world, the company has used ML algorithms to predict Network quality, video quality, and all other technical challenges that happen during video streaming.
#2 Media and Advertising
Artificial Intelligence in entertainment field is used for marketing or trading aspects that include advertising, design, and content promotion.
Smart AI algorithms are best suitable to create results-driven advertising and marketing solutions. AI-driven marketing software apps help companies in addressing the requirements and preferences of their audience, creating promotional strategies, and making effective customer-centric digital solutions to drive higher value.
For instance, AI in media industry can create thousands of catchy visual designs for advertising purposes in just a second. Thanks to such advanced and revolutionizing technology that drastically cuts manual efforts and improves productivity.
#3 Extensive Usages of VR and AR Technologies
Augmented Reality (AR) and Virtual reality (VR) technologies are projected to be the rapidly growing segment in the media and entertainment space. With the high demand for gaming apps from all corners of the world, the scope for AR and VR in the entertainment sector is high. These tech-enabled apps help companies in creating motion pictures and other virtual media promotional campaigns.
However, the 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
It is one of the best AI applications in entertainment and media field. As there is a vast amount of information available online, sometimes it’s really tough to find what we exactly needed. Artificial Intelligence has come to help make search results more similar and accurate.
Thanks to advanced technology. In particular, for e-commerce apps development, AI helps in many ways. Unlike traditional search methods through typing, AI apps in e-commerce help users to upload an image and search for their desired product.
Best AI Applications In Entertainment and Media Industry
1) Content Personalization
Popular video and music streaming platforms such as Netflix and Spotify have been successful since they offer location-specific content that meets the preferences of all genres. These on-demand video streaming applications use machine learning and AI algorithms to analyze user demographics and behavior and recommend that content which they love to stream or watch. 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 a huge amount of creative and engaging content is being created every minute, making this content visible for viewers can be a daunting task for media and entertainment companies. The manual process requires watching videos and identifying locations, scenes, and objects in the 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 identifying and framing 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 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. Writing subtitles manually for multiple movies and TV shows in dozens of languages may take thousands of hours and effort. In addition, it is difficult to hire the right candidate to translate content into dozens of languages without errors.
To overcome these challenges, the 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.
The role of AI in media and entertainment will be expected to occupy most of the industry space. AI technology is a beneficial and futuristic way for media companies to stay competitive in 2022 and the years ahead. As discussed in this article, the implementation of AI in entertainment apps development will reshape the landscape of the field.
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