Category: Compute

Every July, National Basketball Association (NBA) rookies make their debut at Summer League in Las Vegas. When the basketball universe made its annual pilgrimage to Vegas in 2025, the players weren’t the only ones stepping into a new system under pressure.

F1 worked with AWS to migrate petabytes of footage from ageing tape robots, in multiple formats and proxy files, into Amazon Simple Storage Service (Amazon S3) alongside the live footage from every new race. That gave the sport one durable home for its heritage: the F1 Video Archive. In April 2026, F1 upgraded the archive with a new Media Archive Discovery system. Working with Amazon Web Services (AWS), the team added Amazon Bedrock in a deliberately narrow role: a layer that reads a request in plain language, works out what it means, looks up any facts it depends on, and turns it into a precise search the archive can retrieve.

In this post, we introduce File Mover Express, explain the value it delivers for media workflows, and show you how to get started with your first transfer.

This post walks through the architecture and implementation of an event-driven content refresh pipeline for media workflows.

In this post, we extend that foundation by providing a complete reference implementation on GitHub with deployment instructions so you can run the solution with your own content.

In this post, we introduce a sample application that helps you answer that question for AWS Elemental Inference. The sample is a deployable video clipping portal for live sports. You run it in your own AWS account, point it at your own content, and see how automated highlight detection, smart cropping, and smart subtitles behave end to end. We walk through the customer problem, the architecture, the capabilities it demonstrates, and how to deploy it.

In this post, we share how the PGA TOUR automated their approach with an AI-powered profanity detection and filtering system built on Amazon Transcribe. The solution meant that experienced production staff could take on higher value creative and technical roles while improving detection speed and consistency.

In this post, we show how to build SENTINEL, an Amazon Web Services (AWS) pipeline that embeds a cryptographic provenance watermark into AI-generated audio at the point of synthesis and carries a verifiable chain of custody through a live-streaming media pipeline. This post covers the architecture, AWS service implementation, deployment approach, and engineering trade-offs we encountered while building SENTINEL.

In this blog, learn how the CNN Weather app delivers real-time weather summaries using AI/ML, alongside its trusted journalism.

Learn more about the new AI-Powered Video Advertising & Operations knowledge badge readiness path, available at no cost on AWS Skill Builder, gives you structured training across the full programmatic advertising stack, from foundational concepts through production-grade architectures.