Media and Entertainment
AI is used to support creative teams and improve the viewer experience
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The media and entertainment industry currently focuses on implementing point solutions to enhance enterprise productivity with search and AI agents and audience personalization. This means companies are incorporating Generative AI to automate routine customer services tasks for subscriptions and billing, accelerate back-office processes, provide better access to enterprise-wide data, drive operational and cost efficiencies for marketing, and streamline software development workflows.
Generative AI is also making it easier to deliver more personalized audience experiences through multimodal recommendations and search as well as assisting with specific content localization tasks, such as dubbing and generating captions, subtitles, and audio descriptions.
Benefits of AI in Media and Entertainment
- Efficient processes and enhanced services
- Better budget allocation insights and increased revenue
- Real-time marketing intelligence for increased marketing agility
- Enhanced marketing and advertisement landscape
- Content security and privacy management
- Improved customer experience and personalisation
Challenges of AI in Media and Entertainment
- Ethical Concerns: AI-generated content, particularly deepfakes, raises ethical issues related to misinformation, privacy violations, and intellectual property rights.
- Job Displacement: AI's ability to automate tasks like scriptwriting, animation, and content moderation raises concerns about job displacement in the creative industries.
- Bias in AI Algorithms: AI algorithms are often trained on biased datasets, which can lead to biased content recommendations or discriminatory practices.
- Security and Data Privacy: AI requires vast amounts of user data for personalized recommendations, leading to concerns about data privacy and security.
- High Initial Costs: Implementing AI technology, especially in content creation and distribution, requires significant investment in infrastructure, skilled professionals, and training datasets.
In the longer term, media and entertainment organizations will likely move towards building more powerful Generative AI solutions, capable of optimizing entire workflows. AI has already been deployed for content production tasks, from script analysis to modernizing media archive search, and to content understanding for moderation and monetization. Other emerging uses include integrating Generative AI into workflows to assist with storyboarding, post-production processes, and media rendering.
Links
infosysbpm.com/blogs/media-entertainment/use-of-ai-in-media-entertainment-industry
forbes.com/councils/theyec/2023/08/17/generative-ai-for-content-creation-how-marketers-can-use-it
carmatec.com/blog/ai-in-media-and-entertainment-complete-guide
techtarget.com/whatis/feature/AI-content-generators-to-explore
leewayhertz.com/ai-in-media-and-entertainment
hexaware.com/blogs/generative-ai-for-content-creation-the-future-of-content-ops
prismetric.com/ai-in-entertainment