The AI-Powered Media Renaissance cover
Media

The AI-Powered Media Renaissance

How AI is Transforming Content Creation, Personalization, and Distribution

Beyond Convenience – Delivering Connection in the Age of AI. A comprehensive exploration of how AI is revolutionizing the food delivery ecosystem from customer discovery to post-delivery engagement.

AWS Resources for Media

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.

Key Takeaways

AI is transforming content creation, curation, and distribution across all media types
Hyper-personalization powered by AI significantly increases audience engagement and loyalty
Intelligent content analysis enables new monetization opportunities and audience insights
AI-driven operational improvements can transform production workflows and reduce costs
Strategic implementation approaches for organizations at any stage of AI maturity

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Access additional resources, tools, and reference implementations from AWS to help you implement AI media transformation in your organization.

How can AI improve operations and customer experience in media?
AI enhances delivery route optimization through: 1. Real-time traffic analysis: Using live traffic data, weather conditions, and road closures to dynamically adjust routes 2. Predictive demand modeling: Anticipating order volumes by location and time to pre-position riders 3. Multi-order batching: Intelligently grouping orders to minimize delivery time while maintaining food quality 4. Machine learning from rider behavior: Learning from successful delivery patterns and rider preferences Most platforms see 15-25% reduction in delivery times and 20-30% improvement in rider efficiency with AI-powered route optimization.

AWS Resources for Media

Access additional resources, tools, and reference implementations from AWS to help you implement AI media transformation in your organization.

AWS for Media & Entertainment

Discover AWS solutions for media and entertainment, including content production, media supply chain, broadcast, and direct-to-consumer streaming solutions.

Explore AWS Media

Server-Side Ad Insertion (SSAI)

Learn about server-side ad insertion technology that enables seamless ad experiences in streaming content.

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AdTech & Real-Time Bidding

Solutions for advertising technology and real-time bidding platforms on AWS.

Explore AdTech

AWS Media Blog

Stay up-to-date with the latest media technology insights, customer stories, and implementation guidance.

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Live Streaming on AWS

Complete implementation for scalable and resilient live video streaming on AWS.

View Solution

Video on Demand on AWS

Automated workflow for ingesting, processing, and delivering video-on-demand content.

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Content Localization on AWS

Solution for automating the localization of subtitles, captions, and audio for video content.

View Solution

Virtual Waiting Room on AWS

Solution for managing high-traffic events and controlling access to applications during peak demand.

View Solution

Shoppable Video on AWS

Implementation guidance for creating interactive shoppable video experiences.

View Solution

Personalized Avatar with SageMaker

Guide for creating personalized avatars using Amazon SageMaker.

View Solution

Hyper-Personalization with AI

Executive insights on using AI-powered marketing for hyper-personalization.

Read More

Personalized News Experience

Guide for creating personalized experiences for news readers using Amazon Personalize and Amazon Titan Text Embeddings.

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Customer 360 for Media

Create a unified view of your audience to deliver personalized experiences across all touchpoints with AWS Customer 360 solutions.

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News Publishing Personalization

Amazon Personalize immersion day workshop for news publishing with customizable content recommendations.

View on GitHub

Personalized Recommendations with GTM

Implementation guide for adding Amazon Personalize recommendations to your website using Google Tag Manager.

View on GitHub

Hyper-Personalization with GenAI

Drive hyper-personalized customer experiences with Amazon Personalize and generative AI.

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News Clustering and Summarization

Solution for clustering related news stories into summaries with near real-time updates on unfolding events.

View on GitHub

GenAI Newsletter Application

Ready-to-use serverless solution for automatically creating rich newsletters with AI-generated content summaries.

View on GitHub

Semantic Image Search for Articles

Implementation showing how to use a multimodal model to find images that are semantically similar to text.

View on GitHub

Media Analysis with GenAI

Video understanding workshop with generative AI covering time segmentation, ad breaks, video summarization, and semantic search.

View on GitHub

Dynamic Image Transformation

Simple, performant and cost-efficient solution for optimizing images using Amazon CloudFront, Amazon S3, and AWS Lambda.

View on GitHub

GenAI LLM Chatbot

Reference implementation for a generative AI chatbot that can be customized for media use cases.

View on GitHub

API Gateway WebSocket Delivery Workflow

WebSocket API with Step Functions and SNS for real-time food delivery workflow tracking.

View on GitHub

Serverless GenAI Food Analyzer

Personalized GenAI nutritional webapp for shopping and cooking recipes with serverless architecture and AI capabilities.

View on GitHub

Serverless Coffee (Serverlesspresso)

The serverless coffee ordering application as seen at AWS re:Invent 2021, demonstrating event-driven architecture.

View on GitHub

SageMaker Route Optimization

AWS Last Mile Route Sequence Optimization using machine learning to integrate real-life driver experience.

View on GitHub

Recipe AI with Generative AI

Fullstack recipe generator using AWS Amplify and Amazon Bedrock with Claude 3 for ingredient-based recipe generation.

View on GitHub

Image Optimization

Simple and performant solution for image optimization using serverless components such as Amazon CloudFront, Amazon S3 and AWS Lambda for web applications.

View on GitHub

Deliveroo Case Study

How Deliveroo uses AWS to scale their food delivery platform and optimize customer experiences globally.

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iFood Case Study

Latin America's largest food delivery platform leverages AWS for massive scale and innovation in food delivery.

Read Case Study

Delivery Hero Case Study

How Delivery Hero transforms food delivery operations across multiple markets using AWS cloud infrastructure.

Read Case Study

AWS Food Delivery Blog

Latest insights, best practices, and innovation stories from the food delivery industry on AWS.

Read the Blog

Route Optimization with Amazon Location

Optimizing delivery workloads with the Amazon Location Service Route Optimization Accelerator.

Read Article

Amazon Connect for Food Delivery Support

Implement AI-powered customer support for food delivery platforms using Amazon Connect and contact center intelligence.

Explore Solutions

Food Delivery AI Chatbots

Implementation of AI-powered chatbots for food delivery platforms using Amazon Lex and Amazon Bedrock.

Explore Amazon Lex

Intelligent Food Search & Recommendations

Implement semantic search and personalized recommendations for food discovery using Amazon Personalize and OpenSearch.

Explore Amazon Personalize

Voice Ordering with Amazon Connect

Enable voice-based food ordering and customer support using Amazon Connect with conversational AI capabilities.

Learn More

GenAI for Menu Analytics

Use generative AI to analyze menu performance, optimize pricing, and generate intelligent menu descriptions.

Explore Amazon Bedrock

Visual Food Recognition

Implement computer vision for food recognition, quality assessment, and automated menu cataloging using Amazon Rekognition.

Explore Amazon Rekognition

Predictive Delivery Analytics

Leverage machine learning for demand forecasting, delivery time prediction, and inventory optimization using Amazon SageMaker.

Explore Amazon SageMaker

AWS Smart Product Onboarding

Reimagine the seller product onboarding experience with generative AI to create product titles and descriptions, categorize, and extract attributes.

View on GitHub

GenAI Media Upscaling and Testing

Images and Videos upscaling solution for cost-effective storage. Down scale before storing, upscale before use with easy-to-use API workflow.

View on GitHub

Sample Generative AI Gallery

Repository utilizing Amazon Bedrock for generative AI to create images of historical figures and synthesize them with users' selfie photos using SageMaker Endpoint.

View on GitHub

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Author

Meet the mind behind this book.

Matias Undurraga

Matias Undurraga

Author

Enterprise Technologist with over 20 years of experience in technology, data, and software development. At AWS, Matias helps customers implement successful AI transformations with his real-world enterprise experience across multiple industries including media and entertainment.

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