AWS for M&E Blog
Category: Sports
Remote sports commentary made easy with Spalk and AWS
This blog was coauthored by Michael Prendergast, CTO and Co-Founder, Spalk. Introduction A compelling sports broadcast is built on storytelling and commentators are the guides to these stories, helping viewers experience the narratives playing out on screen. Only recently have commentators enjoyed the flexibility of working remotely, allowing them to broadcast for leagues around the world […]
How Formula 1 uses AWS to leverage remote operations and production for the Abu Dhabi Young Driver Test
This blog post was co-authored by Ryan Kirk, Cloud Architect and Cloud & DevOps Team Manager, Formula 1. Introduction As the Lead Cloud Architect and Team Manager at Formula 1, I am responsible for cloud engineering, DevOps, and on-premises Kubernetes platforms. A big part of my team’s function is looking at leveraging cloud technology to […]
Loupe live shopping platform upgrades user experience with Amazon IVS
Designed for card collectors, live e-commerce platform Loupe connects buyers with small businesses across the US to provide on-demand access to sports cards 24/7. Loupe focuses on fostering a community through real-time chat and big, exciting, memorable moments. After completing a thorough vetting process, vendors can live stream sales via the platform, which supports web, […]
How Formula 1 drove cloud expertise to accelerate the future of motorsports
Neil Ralph, AWS Principal Sports Partnership Manager reflects on five years of working with Formula 1 in a conversation with Chris Roberts, F1 Director of IT, who spearheaded the organization’s cloud transformation journey. Carlos Sainz Jr, Ferrari #55, during the Formula 1 AWS Gran Premio de Espana Practice 3, at the Circuit de Barcelona-Catalunya on […]
Ball trajectory tracking in sports broadcast videos using AWS machine learning
In the past few years, professional sports has applied machine learning (ML) in ways that revolutionize game analysis, accelerate innovation, and improve fan experiences. For instance, NFL Next Gen Stats uses machine learning and data analytics to boost accuracy, speed, and insights in real time to enhance viewing experiences. NHL Face-off Probability uses ML-driven data […]
Inside the arc: The Toronto Raptors’ journey from on-premises compute to AWS for novel player insights
This post is authored by Devin Pleuler, Senior Director of R&D at Maple Leaf Sports & Entertainment (MLSE), and Ari Entin, Principal of AWS Sports Marketing Communications. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. Introduction In […]
Accelerating Motorsports: How NASCAR delivers real-time racing data to broadcasters, racing teams, and fans
This blog post was co-authored by Chris Wolford, Managing Director, Event & Media Technology at NASCAR. Introduction The National Association for Stock Car Auto Racing (NASCAR) has a rich history that dates back to the late 1940s. Over the years, NASCAR has become one of the most popular motorsport organizations in the world, giving fans […]
Opportunity Analysis gives new insight into the quality of a shot
This brand new analytic, part of National Hockey League (NHL) EDGE IQ powered by Amazon Web Services (AWS), uses a novel machine learning (ML) model that analyzes millions of historical and real-time data points to show fans how difficult a shot was at the moment of release, calculated just seconds after the play. Imagine you’re […]
A look inside the making of an NFL football schedule
Predicting what fans are going to watch in December, now. What is the NFL up to with AWS and how does it work? In just three months, National Football League (NFL) schedule makers methodically build an exciting 18 week 272-game schedule spanning 576 possible game windows. How do they do it? We caught up with […]
How the Bundesliga brings fans closer to the match using AWS
Bundesliga, Germany’s premier national football league, uses artificial intelligence (AI), machine learning (ML), analytics, compute, database, and storage services from Amazon Web Services (AWS) to deliver real-time statistics that improve insights into game strategy and outcomes, and recommend personalized content for fans and partners across several channels. Alexander Altenhofen, Bundesliga’s Director of Product & Technology, […]