AWS for M&E Blog

Category: Industries

PGA TOUR® enhances AI commentary by operationalizing generative AI

This blog was co-authored by David Provan, Principal Architect, and Trey Pezzetti, Product Manager, PGA TOUR. Professional golf presents unique broadcasting challenges with tournaments featuring up to 144 players, competing across 100-150 acres, with 18 holes representing 18 fields of play. Over multiple days this can total over 10,000 shots captured daily. These challenges become […]

Formula 1® unlocks the most competitive season yet with AWS

This post is co-authored by Ruth Buscombe-Divey, AWS Motorsports Ambassador and Technical Advisor and Race Strategist at Formula 1. In the high-octane world of Formula 1® (F1), where milliseconds separate triumph from defeat, data isn’t just valuable—it’s the invisible force reshaping the sport itself. Since 2018, F1 and Amazon Web Services (AWS) have innovated together […]

How to render a Blender scene on AWS Deadline Cloud

Amazon Web Services (AWS) Deadline Cloud is a fully managed service that streamlines render management for teams creating computer-generated 2D/3D graphics and visual effects for films, TV shows, games, industrial design, and architecture. Deadline Cloud comes with a fully supported integration for Blender. It is the quickest way to render Blender scenes on AWS while […]

CaptionHub Live on AWS expands the reach of live video with subtitling

Live event subtitling is a challenging task, especially when it involves translating into multiple languages simultaneously. CaptionHub Live provides a high degree of accuracy while supporting near real-time latency. Subtitles are accurately synchronized to the audio without affecting the broadcast stream. Traditional solutions are often expensive and complicated, deliver sub-optimal results, and affect the broadcast […]

Inside the architecture: How the NFL delivers player performance insights at scale using Amazon QuickSight

Every year, the National Football League (NFL) Scouting Combine brings together hundreds of the most promising college football prospects to showcase their abilities through a series of physical and mental tests. While individual drill results—like 40-yard dash times or bench press repetitions—provide valuable data points, synthesizing this information into actionable insights presents a significant challenge. […]

Beyond the stopwatch: Inside the NFL’s new interactive Combine dashboard

The NFL’s Next Gen Stats Combine IQ system, powered by AWS and Amazon QuickSight, transforms athlete performance data into meaningful insights through real-time tracking, sophisticated analytics, and machine learning models that predict player success probabilities for scouts, teams, and fans following the NFL Combine.

Hearst Networks EMEA drives workflow transformation with SDVI and AWS

Media companies are juggling more content than ever, amidst delivery pipelines that grow increasingly complex. To better navigate changing business requirements and unify processes, Hearst Networks EMEA, one of the world’s leading media and entertainment brands, migrated its entire content supply chain (CSC) to Amazon Web Services (AWS). With the multi-stage integration well underway, the […]

Using Open Job Description to Customize Submitter Workflows

Are you an Artist or Technical Director (TD) who’d like to streamline the process of defining and submitting jobs to your render farm? This blog describes how to use Open Job Description (OpenJD) to customize the Amazon Web Services (AWS) Deadline Cloud integrated submitters, and concludes with a code sample of a custom submitter written […]

Troubleshooting SRT and Zixi with AWS Elemental MediaConnect

Sending video long distances can be challenging without a clear understanding of how your packets get from point A to point B. It also requires robust networking, sufficient bandwidth, and efficient encoding and delivery hardware. We will outline the best practices and troubleshooting techniques required to operate reliable transport using secure reliable transport (SRT) and […]

4 Nations Face-Off: Revolutionizing hockey analytics with AWS

The highly anticipated 4 Nations Face-Off (February 12-20, 2025) doesn’t just showcase international hockey excellence—it also highlights the future of hockey analytics. NHL EDGE IQ analytics powered by Amazon Web Services (AWS) machine learning help transform how fans experience the game. Breaking down Ice Tilt Watch as Stathletes’ CEO Meghan Chayka and NHL’s Brant Berglund […]