AWS for M&E Blog

Category: Data Science & Analytics for Media

The next generation of media intelligence with Guidance for Media2Cloud on AWS version 4.0

We are pleased to announce the official release of Guidance for Media2Cloud on AWS version 4.0. This release offers enhancements that assist Amazon Web Services (AWS) customers in monetizing their media archives, generating content metadata more cost effectively, and leveraging generative AI to produce new kinds of content metadata. The new version of Media2Cloud still […]

AWS to showcase live broadcast workflows, generative AI, and more at NAB 2024

As the National Association of Broadcasters (NAB) Show returns to Las Vegas, Nevada April 13-17, 2024, Amazon Web Services (AWS) is fully embodying the Show’s motto, ‘Where Content Comes to Life,’ with a live cloud-powered newsroom production demonstration in collaboration with NVIDIA. AWS for media and entertainment (M&E) solutions that enable customers to create, deliver, […]

Identifying music in audio files and streams on AWS

In today’s digital age, where music is readily accessible through a myriad of platforms and devices, the ability to accurately identify songs is important for customers across many industries. From entertainment and broadcasting to streaming services and beyond, there is a need for accurate music identification solutions in order to detect unauthorized uses of content, […]

On-screen computation time using machine learning tools from AWS

For linear broadcast television, it is common to rerun successful programs to fill available time slots. Often, episodes may need to be edited down and, at times, entire scenes may need to be removed to conform to an allotted time slot. This creates complexity because under a particular type of contract, artists have performance rights […]

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 […]

Engage online sports fans with live event commentary using generative AI on Amazon Bedrock

Live sports online streaming is a fast-growing market, forecast to grow from USD $18.6B in 2021 to USD $93.1B by 2027, a compound annual growth rate of 24.64% from 2022 to 2030. Sports streaming platforms continually advance, employing diverse strategies to delight users and enrich viewer engagement. These tactics encompass extended statistics and match facts, augmented […]

Advancing Next Gen Stats: 2024 Big Data Bowl analyzes tackling performance across the NFL

If you’re a professional or aspiring amateur data scientist, the Big Data Bowl should be on your radar. This annual competition, now in its sixth year, provides an open platform for engineers, data scientists, students, and analytics enthusiasts worldwide to get involved in football analytics—whether or not they have any sports experience. The Big Data Bowl […]

Building a Digital Athlete: Using AI to rewrite the playbook on NFL player safety

Just as National Football League (NFL) players train and practice to constantly improve, the NFL continually seeks new ways to make the game safer for its players, and more exciting for fans. A key element of this effort is development of the Digital Athlete, a joint effort between the NFL and Amazon Web Services (AWS) […]

Create super resolution for legacy media content at scale with generative AI and AWS

Introduction Today, media and entertainment companies own a large number of legacy media content that was created in low or standard resolutions before high-resolution technology was available—for instance, movies, television shows, music videos, and sports highlight clips. Given today’s advancements in display technology, it’s common for audiences to demand video content to be delivered in […]

Behind the scenes: AWS real-time architecture for Bundesliga Match Facts

This blog was co-authored by Alexander Smirnoff, Senior Cloud Applications Developer, and Kirill Serykh, Data Scientist, from Sportec Solutions AG. Figure 1: Bundesliga Match Facts showing real-time in-game statistics Bundesliga, Germany’s premier football league, uses Amazon Web Services (AWS) to deliver near real-time statistics and in-depth in-game insights called Bundesliga Match Facts (BMF). These statistics […]