Category: Media & Entertainment

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.

At Amazon Web Services (AWS), we are excited to introduce the next revision to the AWS Well-Architected Streaming Media Lens. The Streaming Media Lens consists of a comprehensive Lens whitepaper and a custom lens, which will become available in the public AWS Well-Architected custom lens GitHub repository.

We’re announcing four new capabilities across AWS Elemental that bring AI, personalization, and intelligent monetization to the live video workflow, launching in time for IBC 2026 in Amsterdam.

In this post, we describe how, on top of that pipeline, 5 built a browser-based console where a single remote operator can run a live pop-up event (with monitoring, input switching, ad signaling, and graphics) using the control capabilities of AWS Elemental MediaLive. Because these events arrive on an international feed shared with other broadcasters, the console also has to supply what a viewer would normally get from a produced channel: holding slates between segments, and on-screen messaging in 5’s own brand.

In this blog, learn how Amazon Web Services (AWS) Partner Bitmovin has developed the AI Session Interpreter powered by the Mistral 7B foundation model (FM) on Amazon Bedrock, a fully managed service that offers a choice of industry-leading FMs.

In this post, we assume that you’re familiar with MediaConnect Router inputs, outputs, and network interfaces. If you need a refresher, see Using the MediaConnect Router.

Check out the AWS IBC 2026 Attendee Guide for full demo details and a few programming highlights below.

Launched at NAB Show 2026, Xytech AI is the first step in a much larger vision: making the full depth of the Xytech media operations platform accessible through natural language.

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.