AWS for M&E Blog
Author: James Wu
James Wu is a Senior AI/ML Specialist Solution Architect at AWS. helping customers design and build AI/ML solutions. James’s work covers a wide range of ML use cases, with a primary interest in computer vision, deep learning, and scaling ML across the enterprise. Prior to joining AWS, James was an architect, developer, and technology leader for over 10 years, including 6 years in engineering and 4 years in marketing & advertising industries.
Building intelligent media supply chain automation using Amazon Bedrock AgentCore
The media industry is experiencing a fundamental shift in how content is processed, analyzed, and monetized. Recent breakthroughs in vision-based generative AI models have dramatically reduced both the cost and complexity of understanding video content at scale. By introducing these models into media supply chain workflows, organizations can reduce manual tagging and metadata generation costs […]
Generative AI assists creative workflows with text-guided inpainting and outpainting using Amazon Bedrock – Part 2
Generative AI offers exciting new possibilities for creatives. In this blog series, we explore different generative AI models for image editing. In Part 1, we developed an AI-powered eraser using Segment Anything Model (SAM) and Big LaMa model hosted on Amazon SageMaker. In just a few clicks, we can remove any unwanted objects from an image. […]
Super slow motion video creation using generative AI on AWS
Slow motion video is an integral part of media productions, particularly sports broadcasting, that provides viewers with an enhanced experience. Capturing action in slow motion allows the audience to see details not possible to observe at full speed. However, recording real-time video at high frame rates requires expensive specialized cameras. Even then, extreme slow motion […]
Generative AI assists creative workflows with inpaint eraser and Amazon SageMaker – Part 1
Introduction Generative AI is transforming how content is created and consumed. Media & Entertainment (M&E) companies face growing demand for personalized and engaging content to serve their audiences across multiple channels. Models like Stable Diffusion, where images and video can be generated with just a simple text prompt, allows businesses to leverage generative AI as […]