Category: Artificial Intelligence

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 […]

This blog is co-authored by Nilay Naik from ThinkAnalytics and Kevin Yao from AWS. The ThinkAnalytics Think360 platform helps media, entertainment, news, and direct-to-consumer video providers use a data-driven approach to increase revenue and customer engagement. The platform integrates Amazon Personalize from Amazon Web Services (AWS) to allow a wide selection of personalized recommendation solutions […]

Introduction The expansive and ongoing market penetration of broadband services and mobility devices has triggered exponential demand for content across the globe. News content is no exception, with steady growth in the number of players in the news business. User generated content (UGC) on social media platforms is also a strong disruptor. At times, breaking […]

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 Each day, we are presented with information that is personalized to us. This comes in the form of advertisements, social media content, entertainment, and more. This personalization helps us to meet consumer demand and influence consumer behavior. From the perspective of sports franchises, there is yet unmet demand to deliver personalized content to both […]

This is the third and final post in the series of blog posts on contextualized viewer engagement and monetization for live over-the-top (OTT) events. This post details how Amazon Personalize, which allows developers to quickly build and deploy curated recommendations and intelligent user segmentation at scale using machine learning (ML), can be adopted to determine […]

Tabcorp, one of Australia’s top gaming and entertainment companies, operates betting across 641 locations for multiple sports and race types. Even as customers flock to digital platforms to place bets, interactive voice response (IVR) remains a critical part of the company’s business to accommodate customers that prefer telecommunication. To modernize its IVR system, Tabcorp enlisted […]