AWS for M&E Blog

The biggest week in cloud and AI is quickly approaching, with the Amazon Web Services (AWS) re:Invent conference set for November 30-December 4, 2026 in Las Vegas, NV. This year, attendees can experience how the cloud and AI are fundamentally transforming workloads in media and entertainment (M&E), advertising technology, sports, and more. Join more than […]

This post describes how a multi-leg hybrid search architecture solves this problem by combining vector similarity and keyword matching across multiple embedding channels in a single query, with results spanning both live events (searchable within 90 seconds of broadcast) and VOD archives simultaneously.

For decades, C-band satellite has been the backbone of primary distribution of live linear content to distribution partners and affiliates in the United States. The frequency range offered rain-fade resistance, continental reach from a single transponder, and a cost model that scaled to thousands of receive locations. For national networks, regional affiliates, and cable headends alike, C-band simply worked. However, C-band options are rapidly shrinking to make space for next-generation wireless technology. In 2020, the Federal Communications Commission (FCC) auctioned 280 MHz of C-band spectrum (3.7–3.98 GHz), forcing satellite providers to compress operations into the upper portion of the band. Now, that spectrum is about to disappear as well because the FCC voted to auction 160 MHz of upper C-band (3.98–4.14 GHz) in July 2027, effectively eliminating C-band as a viable option for broadcasters.

This post is part 2 in a two-part blog post series. Part 1 covers strategy, architecture evaluation, and capacity planning. Part 2 covers content delivery, nonfunctional testing, chaos engineering, and Amazon Web Services (AWS) support models.

This post is part 1 in a two-part blog post series. Part 1 covers strategy, architecture evaluation, and capacity planning. Part 2 covers content delivery, nonfunctional testing, chaos engineering, and Amazon Web Services (AWS) support models.

As organizations adopt TAMS and cloud-centered workflows through the Amazon Web Services (AWS) Cloud-Native Agile Production (CNAP) program, the opportunity is clear: Make content discoverable by what it contains rather than how it was tagged. This post, which is Part 1 of a two-part series, describes how AI-powered ingestion pipelines analyze each piece of media at ingest time.

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.

From the halls of the RAI to local gatherings in Amsterdam, conversations around this year’s International Broadcasting Convention (IBC Show) centered on AI and collaboration. A reported 41,225 attendees from 170 countries and 1,300 exhibitors attended the event, held September 11-14, 2026. Amazon Web Services (AWS) hosted hands-on demos of new services, in-depth sessions, and events that reflected the rapidly changing industry landscape.