AWS for M&E Blog

Cleeng’s ChurnIQ AI-ssistant: Subscriber Analytics Powered by Amazon Bedrock

This blog is co-authored by Jakub Abramczyk, Data Scientist, Sebastian Boruch, ChurnIQ Product Manager, and Kirstin White, Growth Marketing Manager from Cleeng. In the competitive direct-to-consumer (D2C) streaming market, understanding subscriber behavior is essential for increasing engagement, optimizing content, and reducing customer churn. According to Forbes, acquiring new customers costs 5-7 times more than retaining […]

MasterClass enhances video quality and reduces costs with AWS Media Services

For many, cooking alongside Gordon Ramsay or writing with Shonda Rhimes may seem like pure fantasy, but streaming platform MasterClass makes these experiences a reality. The streaming platform offers more than 200 classes, delivered by the world’s best instructors. With video at the core of the MasterClass experience, the company looked to Amazon Web Services […]

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 […]