Category: Amazon SageMaker

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, […]

With more than 50 launches and announcements of new services and major features during AWS re:Invent 2021, the following is a tailored list of those most relevant for media and entertainment (M&E) workloads. Watch the full Adam Selipsky Keynote here for even more announcements and information. AWS Private 5G for on-set connectivity AWS Private 5G is […]

Media and entertainment (M&E) companies use machine learning (ML) to create personalized content recommendations and improve content engagement. From video and music streaming to internet advertising and sports, Amazon SageMaker helps customers make smarter content investments, better monetize content libraries, and delight users with personalized experiences. Join speaker Amir Imani, AI/ML Specialist Solutions Architect, to […]

Second Spectrum, the Official Optical Tracking and Analytics Provider of sports leagues such as the National Basketball Association (NBA) and the English Premier League, has chosen AWS as its preferred cloud, machine learning (ML), and artificial intelligence (AI) provider. Second Spectrum has also selected AWS media services to help deliver new kinds of live game-watching […]