AI is reshaping how media is created and consumed. Organizations must adopt AI strategically while ensuring ethical implementation.
The media and entertainment industry is experiencing a profound transformation driven by artificial intelligence. From content creation and personalization to distribution and monetization, AI is reshaping every aspect of how we produce, distribute, and consume media. This book provides a comprehensive exploration of how media organizations can harness AI to create more engaging, personalized, and profitable content experiences.
Through a combination of strategic frameworks, real-world case studies, and practical implementation guides, we examine how leading media companies are using AI to gain competitive advantages. We explore applications across news publishing, streaming video, advertising technology, and content production, revealing how AI is creating new opportunities while disrupting traditional business models.
Whether you're an executive leading a media transformation, a technology leader implementing AI solutions, or a content creator seeking to understand the future landscape, this book provides the insights and actionable guidance you need to successfully navigate the AI-powered renaissance in media and entertainment.
Have questions about AI in media? Want to explore specific concepts in more depth? Chat with an AI assistant that specializes in media transformation and the content of this book.
Access additional resources, tools, and reference implementations from AWS to help you implement AI media transformation in your organization.
Discover AWS solutions for media and entertainment, including content production, media supply chain, broadcast, and direct-to-consumer streaming solutions.
Explore AWS MediaLearn about server-side ad insertion technology that enables seamless ad experiences in streaming content.
Learn MoreSolutions for advertising technology and real-time bidding platforms on AWS.
Explore AdTechStay up-to-date with the latest media technology insights, customer stories, and implementation guidance.
Read the BlogComplete implementation for scalable and resilient live video streaming on AWS.
View SolutionAutomated workflow for ingesting, processing, and delivering video-on-demand content.
View SolutionSolution for automating the localization of subtitles, captions, and audio for video content.
View SolutionSolution for managing high-traffic events and controlling access to applications during peak demand.
View SolutionImplementation guidance for creating interactive shoppable video experiences.
View SolutionGuide for creating personalized avatars using Amazon SageMaker.
View SolutionExecutive insights on using AI-powered marketing for hyper-personalization.
Read MoreGuide for creating personalized experiences for news readers using Amazon Personalize and Amazon Titan Text Embeddings.
Read Blog PostCreate a unified view of your audience to deliver personalized experiences across all touchpoints with AWS Customer 360 solutions.
Learn MoreAmazon Personalize immersion day workshop for news publishing with customizable content recommendations.
View on GitHubImplementation guide for adding Amazon Personalize recommendations to your website using Google Tag Manager.
View on GitHubDrive hyper-personalized customer experiences with Amazon Personalize and generative AI.
Read Blog PostSolution for clustering related news stories into summaries with near real-time updates on unfolding events.
View on GitHubReady-to-use serverless solution for automatically creating rich newsletters with AI-generated content summaries.
View on GitHubImplementation showing how to use a multimodal model to find images that are semantically similar to text.
View on GitHubVideo understanding workshop with generative AI covering time segmentation, ad breaks, video summarization, and semantic search.
View on GitHubSimple, performant and cost-efficient solution for optimizing images using Amazon CloudFront, Amazon S3, and AWS Lambda.
View on GitHubReference implementation for a generative AI chatbot that can be customized for media use cases.
View on GitHubChoose the format that works best for you.