Category: Artificial Intelligence

Football, a sport of strategy, athleticism, and heart-pounding moments, has always been a game of numbers. Beyond the touchdowns, sacks, and interceptions, there’s a world of hidden metrics that shape the dynamics of each play. We sat down with the AWS Generative AI Innovation Center (GAIIC) to unveil the intricacies behind ‘Pressure Probability,’ the latest AI-powered […]

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 […]

With the announcement of the AWS for M&E Monetization solution area, Amazon Web Services (AWS) demonstrates new monetization solutions at IBC 2023 that enable media companies to maximize advertising revenue and drive customer engagement across platforms and channels. Ten AWS and AWS Partners feature solutions spanning the end-to-end media advertising lifecycle on stand 5.C90 at […]

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 […]

Groundbreaking Recap Feature, Catch Up With Highlights, Built with Amazon Media Replay Engine (MRE) With the digitization and continued advancement of broadcast delivery technology, sports fans have come to expect a dynamic viewing experience. Whether streaming a game live or recording to view on-demand, audiences are increasingly looking for standout elements in the coverage of […]

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 […]

Artificial Intelligence (AI) and Machine Learning (ML) make it easy to create personalized user experiences. If you are a digital publisher, you can use AI/ML to display and recommend content that is tailored to the interests of an individual user. Personalization can improve customer satisfaction, increase user engagement, and reduce the workload of editorial and […]

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 […]