Category: Sports

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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, […]

This post is authored by Patrick Ward, Head of Research and Analytics, Seattle, Seahawks and Dan Skutt, Database Administrator, Seattle Seahawks. 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 The National Football League (NFL) is the […]

How the Seattle Seahawks use technology from AWS to take the guesswork out of draft season and unlock game winning strategies year round. What’s one of the secrets to building a successful National Football League (NFL) draft class? Believe it or not, the answer lies not just on the field of play but in harnessing […]

The National Football League (NFL) continues to evolve on and off the field. One of the biggest shifts in recent years is the league’s commitment to using data and technology to improve the sport. Amazon Web Services (AWS) supports this commitment as the NFL’s partnership with AWS continues to deepen. The Big Data Bowl exemplifies […]