Category: Amazon SageMaker

Ice Tilt helps crack the code on how action on the ice translates to momentum shifts within the game While traditional stats like goals scored and save percentage are straightforward to track, more nuanced aspects of a hockey game have been deemed immeasurable – until now. For the first time ever, the National Hockey League […]

In an era of advanced analytics, fans of professional sports expect more than subjective commentary as part of the viewing experience. They seek data-driven insights, which is where company IMG ARENA (IMGA) excels. Harnessing the power of official sports data to deliver fan-centric experiences, IMGA has helped rights holders, the media, and betting industries offer […]

Introduction Generative AI is transforming how content is created and consumed. Media & Entertainment (M&E) companies face growing demand for personalized and engaging content to serve their audiences across multiple channels. Models like Stable Diffusion, where images and video can be generated with just a simple text prompt, allows businesses to leverage generative AI as […]

Publishers and broadcasters recognize that short video clips are effective in gaining attention from younger viewers, many of whom are enthusiasts of short form content on platforms like TikTok. If companies in traditional M&E industries can efficiently generate short video clips from original content and distribute them across various social media platforms such as Facebook, […]

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 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 […]

National Football League (NFL) fans have all witnessed a returner getting tackled a nanosecond after receiving a punt or kickoff. Holding onto the ball, let alone gaining a chunk of yardage, is a huge win. And the odds of a return touchdown are rare. But that’s exactly why it’s a thrill to see a returner […]

Introduction As the media and entertainment (M&E) industry evolves, companies within the space are finding more opportunities to use artificial intelligence (AI) and machine learning (ML) to deliver a better customer experience. Customer acquisition, retention, and engagement are key areas where AI/ML technologies are poised to deliver significant value. With increasingly complex content consumption patterns, […]