AWS for M&E Blog

Category: Compute

Streamlining content compliance: Automating media analysis with AWS Bedrock

Streamlining content compliance: Automating media analysis with AWS Bedrock – Part 2

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.

Evaluate your content with AWS Elemental Inference using the sample clipping portal

Evaluate your content with AWS Elemental Inference using the sample clipping portal

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.

How PGA TOUR automated live profanity detection with AWS using Amazon Transcribe

How PGA TOUR automated live profanity detection with AWS using Amazon Transcribe

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.

Building audio provenance for AI-generated content at the source with AWS

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.

Announcing AI-Powered Video Advertising & Operations knowledge badge on AWS Skill Builder

Announcing AI-Powered Video Advertising & Operations knowledge badge on AWS Skill Builder

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.

Introducing KNFSD File Cache: Extending your NFS storage into the cloud

Introducing KNFSD File Cache: Extending your NFS storage into the cloud

In this post, you’ll learn how KNFSD File Cache (KNFSD) works and where it fits alongside any NFS-compliant storage (whether that’s an on-premises filer, a third-party, or an AWS service like Amazon FSx). We also cover how to deploy a production-ready, autoscaling cluster using a single Terraform module, delivering aggregate throughput at less than $6 per hour per 100 Gb per second.

How 5 migrated to AWS Elemental MediaPackage v2

How 5 migrated to AWS Elemental MediaPackage v2

In this blog, learn how 5, part of Paramount, migrated from a dual-pipeline packaging architecture to AWS Elemental MediaPackage v2—consolidating infrastructure, eliminating manual failover, and expanding to new platforms across a 12-month collaborative journey with AWS. Discover the key technical enhancements delivered through the partnership, including DVB-DASH accessibility signaling, HLS manifest attributes, SCTE-35 flexibility, and SPEKEv2 DRM integration, and how early engagement with beta features accelerated 5’s modernization.