AWS for M&E Blog
Category: Data Science & Analytics for Media
A new take on tackling: NFL Next Gen Stats and AWS bring data to the gridiron
In the high-stakes world of professional football, every fraction of a second counts. A defender’s split-second decision can be the difference between a game-changing tackle and a touchdown. For years, the National Football League (NFL) has sought to quantify these crucial moments, but the complexity of measuring the different factors contributing to a made or […]
AWS to highlight generative AI, cloud advancements at IBC 2024
With the annual International Broadcasting Convention (IBC) around the corner, Amazon Web Services (AWS) is gearing up to showcase the latest media & entertainment (M&E) innovations from artificial intelligence (AI) to live cloud production solutions. In addition to hosting meetings and demos in its double-decker stand (5.C90) in Hall 5 at the RAI from September […]
PGA TOUR automates play-by-play commentary with Amazon Bedrock
PGA TOUR harnesses generative AI for real-time, contextualized play-by-play commentary, enhancing fan engagement across multiple channels and languages.
Unleash the power of AI rendering on AWS to save time and cost
In the realm of 3D animation and visual effects, rendering is a crucial yet computationally demanding process. The intricate details and high resolutions required for stunning visuals often lead to exorbitant rendering times and costs. As the demand for high-quality computer-generated imagery (CGI) rises across industries, traditional brute-force rendering approaches strain hardware resources and energy […]
Inside the NFL’s innovative fan data platform powered by AWS
Discover how the NFL uses AWS technology to transform fan engagement, offering personalized experiences and real-time insights through a cutting-edge data platform. When Paul Ballew became Chief Data & Analytics Officer at the National Football League (NFL) in 2021, one of his key priorities was to develop a unified view of the League’s fans across […]
Revolutionizing fan engagement: Bundesliga generative AI-powered live commentary
Many football (or soccer, in the United States) fans follow teams and leagues from around the world, regardless of their native country or continent. What truly matters is their love for the game and their devotion to specific teams or players abroad. However, fans may encounter difficulty accessing live game updates for their favorite foreign team, […]
Media2Cloud on AWS Guidance: Scene and ad-break detection and contextual understanding for advertising using generative AI
Overview Contextual advertising matches advertisements to the content a user consumes, creating a personalized advertising experience. It involves three key players: publishers (website or content owners), advertisers, and consumers. Publishers provide the platform and content, while advertisers create contextually tailored ads. Consumers engage with the content, and relevant ads display based on context. A challenge […]
Maple Leaf Sports & Entertainment gains an edge with an assist from AWS
This blog is co-authored by William Reyes, Data Engineer, MLSE, Sport Performance Lab. How MLSE developed a cloud-based rapid prototyping solution to reduce time-to-insight In the dynamic world of professional sports, analytics and data-driven decision-making offer competitive advantage to sports teams and leagues. New avenues for competitive advantage have emerged as the varieties of performance […]
AWS brings generative AI to the FORMULA 1 AWS GRAND PRIX DU CANADA 2024
This year, Amazon Web Services (AWS) debuts the first-ever generative AI-inspired trophy at the FORMULA 1 AWS GRAND PRIX DU CANADA 2024 June 7 – 9 in Montreal, Canada. AWS designers and marketers collaborated with FORMULA 1 (F1) and the AWS Generative AI Innovation Center to explore trophy designs that capture the elegance of F1 […]
How Swimming Australia uses machine learning for real-time training pool analytics with AWS Panorama
In this blog post, we explore how Swimming Australia uses AWS Panorama from Amazon Web Services (AWS) to perform real-time computer vision (CV) inference at the edge with state-of-the-art computer vision models. We describe how to integrate an end user application with AWS Panorama along with the rationale for design strategies and their impact. This solution features services such as AWS Panorama for machine learning (ML) at the edge, Amazon Simple Queue Service (Amazon SQS) for messaging, Amazon Kinesis Video Stream for video streaming, and AWS App Runner for the end user application.