Category: Artificial Intelligence

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 […]

Baseball isn’t just America’s favorite pastime; it’s also one of the most popular sports in Japan. Nippon Professional Baseball (NPB), the Japanese equivalent of Major League Baseball (MLB), attracts a fanbase of more than 20 million. Following the sport, however, requires ultimate fan dedication, as NPB teams hit the field more than three times a […]

Managing live channels requires humans to monitor streams for unexpected content. It is particularly important to detect harmful content quickly and take appropriate measures for moderation. This guide describes the steps you can take to implement an automatic solution to extract, store, analyze, and sort images from your live channel using cloud services from Amazon […]

Content creators and distributors seeking to deliver video content to worldwide customers have more options than ever before. However, even as tools and services for simplifying the distribution of video streams have become more readily available, the process of localizing content to make it understandable to a worldwide multi-lingual audience remains a challenge for many […]

Authored by Brad Winett, President and Partner at TrackIt. 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. As the availability and demand for media content continues to explode, companies that deal with large volumes of media assets […]

This post has been co-authored by Rohit Agnihotri, Chief Architect of Infosys Tennis Platform, and Satheesh Kumar, Principal Solutions Architect at AWS Infosys is a global leader in next-generation digital services and has developed innovative solutions to engage stakeholders in the sports ecosystem. Infosys is the official digital innovation partner for major tennis events like the […]