Category: Amazon Kinesis

In the high-stakes world of NASCAR, fuel management can make the difference between victory and defeat. Recent races have demonstrated how critical fuel calculations are, with multiple top drivers experiencing last-minute fuel shortages, dramatically altering race outcomes. NASCAR broadcasts have historically provided limited visibility into fuel consumption—one of racing’s most crucial strategic elements. While announcers […]

Your streaming content is taking off, viewership is soaring and ad revenue is increasing. However, the costs of monitoring all those streaming sessions, and remaining operational, are also increasing. Sound familiar? Streaming services face this challenge every day as they scale their server-side ad insertion (SSAI) streaming operations. We are excited to share how Amazon […]

The most watched sporting event in the United States, the annual National Football League (NFL) championship game is a high stakes broadcast with little room for error. So, when Fox Corporation’s ad-supported streaming service, Tubi, started planning to simulcast FOX’s Super Bowl LIX broadcast, the company immediately focused on preparing its infrastructure to support unprecedented […]

The media and entertainment (M&E) industry is experiencing extensive transformation, driven by evolving consumer expectations, the rise of competing streaming platforms, and the increasing importance of data-driven insights. As content libraries continue to grow, many media organizations recognize the need to migrate valuable legacy assets to the cloud. By doing so, they unlock opportunities to […]

This post was co-authored by Kerry Travilla, VP Technology, Datazoom. This blog explores how to gain video player and CDN observability by integrating Datazoom’s video data platform with Amazon CloudFront. The solution enables real-time monitoring of client-side player data correlated with CDN performance data, helping video operations reduce time to resolution. The first step towards […]

In this blog post, we explore how Swimming Australia uses AWS Panorama from Amazon Web Services (AWS) to perform real-time computer vision (CV) inference at the edge with state-of-the-art computer vision models. We describe how to integrate an end user application with AWS Panorama along with the rationale for design strategies and their impact. This solution features services such as AWS Panorama for machine learning (ML) at the edge, Amazon Simple Queue Service (Amazon SQS) for messaging, Amazon Kinesis Video Stream for video streaming, and AWS App Runner for the end user application.

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 […]

This blog post was co-authored by Chris Wolford, Managing Director, Event & Media Technology at NASCAR. Introduction The National Association for Stock Car Auto Racing (NASCAR) has a rich history that dates back to the late 1940s. Over the years, NASCAR has become one of the most popular motorsport organizations in the world, giving fans […]

Sky Italia is one of Europe’s leading media and entertainment companies and the largest pay TV provider in Italy. One of the biggest draws to the service is “X-Factor,” the award-winning TV music competition. A key part of the show is that the home viewing audience votes for their favorite performers, with the results tabulated […]

This blog was coauthored by Martin Whittaker (Evertz), Jeremy Blythe (Evertz), and Noor Hassan (Amazon Web Services). Introduction  Driven by industry-wide transformation, broadcasters, content owners, and content creators continue to reinvent ways of creating and sharing content in pursuit of greater efficiencies and faster and more effective processes. Evertz, an Amazon Web Services (AWS) Partner, recently […]