Generative AI in Media and Entertainment- Benefits and Use Cases

Generative AI transforms the media and entertainment landscape and radically changes how content is produced, shared, and monetized. 

With an increasing demand for OTT and live-streaming platforms, media and entertainment companies face intense competition from these digital platforms. 

As consumer expectations increase and their consumption patterns change, companies must find new ways of rolling out fresh content to meet customer demands. This is where Generative AI opens more doors for content creation at a fraction of the cost. 

A PWC pulse survey was conducted, and the results state that nearly 67% of technology and media companies fear that Generative AI might threaten their business models. 

Generative AI in media and entertainment is a valuable tool as it can serve the audience better by creating hyper-personalized content and provides an interactive experience to consumers. 

Additionally, it reduces production costs by automating repetitive or mundane tasks.  

In the entertainment industry, Generative AI is making strides in various ways, such as –  

• Creating personalized content recommendations  
• Producing film and video games  
• Craft storylines  
• Build animated characters  

Generative AI in entertainment changes the way content is produced and consumed. It analyzes consumer preferences to develop marketing campaigns that appeal to individual viewers. Thus, it brings consumers more interactive experiences, increasing audience engagement.  

Let’s look at this blog to learn what Generative AI in media and entertainment means, its use cases, and its associated benefits. 

What is Generative AI?  

Generative AI is a system that learns patterns from large datasets and then learns to create similar designs or generate content. 

Unlike other AI tools, Generative AI is not confined to analyzing existing content but creates new content. 

For media and entertainment companies, Generative AI is a game changer as it takes content creation to a whole new level, helps them engage and retain their viewers, and monetizes visitors to consumers.  

Moreover, it helps creators develop personalized content, craft storylines, build characters, and create interactive experiences for the audience.  

Use cases of Generative AI in media and entertainment  

Here are a few use cases of Generative AI in media and entertainment-  

1. Content creation 

Previously, scriptwriters followed a one-size-fits-all approach for creating content across various media platforms. But Generative AI takes content creation to the next level.  

Generative AI tools make it easier for filmmakers and scriptwriters to generate loads of scripts in a few seconds. 

Moreover, this AI-powered technology uses ML algorithms to analyze users’ preferences and demographics and then generate personalized content.  

As Generative AI learns from past data, it can do more creative tasks and curate content that almost represents human-like content. 

Thus, media companies can create more content to reach a wider audience using fewer resources.  

For instance, Generative AI is a valuable tool for journalists to analyze information and create news stories or summaries of editorial content faster.  

Similarly, broadcasters can leverage this tool to find video clips to tell more exciting future stories. 

2. Language translation in multimedia 

With Generative AI, multimedia content such as videos, podcasts, and other formats can be translated into different languages. Thus, it reduces linguistic boundaries by making media content accessible to global audiences. 

Moreover, such AI-powered technology allows consumers to enjoy the content (TV shows, Movies) in their preferred language as instant language translation is now possible.  

Thus, it leads to higher engagement as international audiences can access the content in different languages. 

3. Planning and preproduction  

Just like other industries such as marketing, advertising, HR, etc., Generative AI is a valuable tool for media and entertainment as well.  

Earlier, media producers had to do various things that involved analyzing the audience, breaking down the scripts, identifying the characters and scenes, finding a suitable location, etc.  

It is a time-intensive task where producers figure out details as to whether actors are available or not. 

With Generative AI, producers can plan their shots quickly as this technology automates a large portion of their work, and they can now focus on other creative tasks. 

Know more about Generative AI in Content Creation & Marketing

4. Special effects and CGI  

Generative AI in media and entertainment transforms how visual effects and computer-generated imagery are created.  

It can quickly come up with creating visual effects that perfectly align with live-action scenes. 

Moreover, such AI-powered tools save hours for filmmakers as they can quickly create realistic and visually stunning effects after analyzing leaps and leaps of data.  

Imagine a scenario where the filmmaker needs to create a film that revolves around a character looking at a stunning landscape.

To make such a scene, filmmakers need to spend hours in location scouting, building the physical setup, planning the lighting, etc. 

Generative AI streamlines filmmaking by creating animated characters, planning virtual locations, and designing costumes with image-generation tools.

All this creates an immersive experience for the audience as the filmmakers can tell exciting stories, which results in saving money for the post-production phase. 

5. Monetization 

Consumers have changed their content consumption from traditional ways of watching movies to now enjoying content on digital platforms. 

So, media companies are struggling to find ways to improve monetization and make more money from consumers. 

Generative AI helps media companies create hyper-personalized ads and customized content, helping them keep their users interested in a long time.   

When more and more users interact with ads, it results in higher click-through rates (CTRs), increasing advertising revenue.  

For instance, Netflix and Amazon use Generative AI to customize user interfaces and create hyper-personalized content for users.   

Customers can have enjoyable experiences, and they will spend more time on this platform to consume content. Thus, it would lead to an increase in subscriptions.

6. Content distribution  

Generative AI technology in the Media and entertainment industry is not confined to creating more content.  

Earlier, distributing content in local languages was a high-effort, high-cost task.   

With Generative AI, content can now be localized to a specific geography as it dubs content in multiple languages.  

Let’s say the production team creates videos for Spanish audiences and needs to add Spanish voices to that video. So, this tool can effectively do that. 

It revolutionizes content distribution game by offering various benefits such as –  

• It helps film and production studios by localizing the content for global audiences.  
• It helps in generating content summaries.  
• It transcribes spoken content into written words in real-time, which reduces the need for manual transcriptions.  
• Automates the dubbing process and creates subtitles in various languages so global viewers can access the content.  

For Instance – A cofounder and Hollywood director of Flawless company (Scott Man) is effectively using Generative AI to dub film content in different languages.  

The tool could match the actor’s voice and create a natural dubbed version in other languages. 

Microsoft voice fonts, for instance, help the production team and make the dubbing process more effective by adding voices to the video. 

7. Personalized ads increase audience engagement  

Generative AI technology helps media companies to create personalized ads for audiences.  

This technology uses a machine learning algorithm that analyzes audience data and then creates dynamic and targeted advertising campaigns. 

Companies can get more conversions and higher click-through rates by running personalized ad campaigns that align with specific target segments. 

8. Improves search and website functionality  

Earlier, media companies had a lot of content, and manually adding tags to each piece of content was time-consuming.  

If the content lacks tagging, consumers cannot find the relevant content they seek. 

However, Generative AI first understands the context of the topic and then adds meta tags automatically. 

All this reduces the load for content creators and editors as they can now concentrate on creating stellar content pieces rather than wasting time applying the necessary tags.  

Moreover, AI learns from how people conduct website searches, so it continues improving content tagging. Thus, it increases the discoverability of content.

Benefits of Generative AI in media and entertainment

Let’s discuss some benefits of Generative AI in media and entertainment-

1. Provides personalized recommendations  

Generative AI uses ML technology to analyze consumer data and preferences first and then develop personalized content recommendations such as TV shows, music, movies, etc.   

It increases user engagement because it understands customers’ preferences as to what type of content a user enjoys. Thus, they are more likely to retain users. 

For Instance – Netflix collects users’ data to track what they watch, how long they see, and whether they finish watching it.  

It then rates those movies based on these factors and develops personalized content recommendations for movies and TV shows.  

How is this possible?  

Because Netflix uses Generative AI.  

2. Automates content creation process  

Generative AI helps scriptwriters and filmmakers automate content creation, ranging from film production to music creation.  

It enhances the creative process by generating more ideas and insights.  

As this AI technology can create more content in less time, it reduces the time and cost of content production by 20-25%.  

3. Helps in marketing and promotion  

Generative AI analyzes loads of data (consumer preferences, tastes and behavior patterns) and social media trends to determine the type of content the audience is interested in.  

It helps entertainment and media companies develop personalized and highly curated advertising campaigns.   

Moreover, this technology uses predictive analytics, which will help media and entertainment companies to fine-tune their marketing and promotion strategies. 

Thus, companies can enhance user experience, get more conversions, and lead to higher ROI.  

4. Audience analysis  

Generative AI analyzes audience behavior and provides real-time insights to help companies create better content that aligns with the target audience.  

With this technology, media companies can hop on trends to create content that keeps their audience hooked for a long time. 

Also Read: Generative AI In Human Resource

Wrapping up  

Integration of Generative AI in media and entertainment streamlines the production process by creating faster and better-quality content creation.  

According to Statista, AI has enormous potential and is expected to become a 1.5 trillion-dollar market by 2030.  

Such AI-powered technology offers immense potential for media companies, whether it’s related to creating engaging content, generating hyper-realistic images, or using AI in filmmaking. 

With BigOhTech, you don’t need to worry about this. We are here to turn your business goals into top-notch products that enhance your customer experience.  

Moreover, we build intelligent data-driven models that streamline your business processes.  

Having served various clients across multiple domains, our experienced AI/ML experts know how to build AI-driven solutions that increase your business revenue by 79%.