AWS for M&E Blog

Category: Analytics

AWS Elemental MediaLive Reservation Management: A Data-Driven Approach

The need for organizations and users to stream video to TVs, set-top-boxes, mobile viewers and websites is growing. As video streaming demands are surging, and so are costs. This blog walks you through visualizing and improving Amazon Web Services (AWS) Elemental MediaLive reservation utilization by creating an Amazon QuickSight dashboard using AWS Cost and Usage […]

Sportradar delivers cloud-native OTT on AWS

This blog was co-written by Ing. Philipp Neuhofer MSc., Senior Domain Architect at Sportradar. Operating within the fast-growing over-the-top (OTT) services industry, Sportradar Group AG, a leading global sports technology company, has to keep pace with the industry’s high demands. Since Sportradar’s OTT service launched in 2016, there has seen rapid growth in demand for […]

Reinvent live sports search with generative AI on AWS

Imagine asking your TV, “When’s the next Formula One race?” and instantly getting accurate results. This is the future of live sports search, powered by generative AI. In an era where viewers expect quick and relevant information, traditional search methods often miss the mark, but a revolutionary solution is taking shape. Generative AI is transforming […]

Leverage Common Media Client Data (CMCD) on AWS

Common Media Client Data (CMCD) is a valuable tool in the streaming industry, used to collect quality of service metrics across video players. However, the absence of native iOS support has hindered analytics capabilities for a significant portion of the mobile ecosystem, affecting widespread adoption. iOS 18 changes that. The latest update to HTTP Live […]

Unlock the full potential of your media supply chain at IBC 2024

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 […]

Enhancing video operations with Datazoom and Amazon CloudFront

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 […]

4 new ways AWS customers are using Amazon Bedrock to transform advertising and marketing

AWS customers reveal generative AI-powered technologies at Cannes Lions, debut data privacy advancements The advertising and marketing industry is no stranger to rapid transformation. At the Cannes Lions International Festival of Creativity June 17—21, thousands of advertising, marketing, and media and entertainment professionals from around the world come together to celebrate innovative work and discuss […]

Streamline ad monetization with Prebid Server Deployment on AWS

Today, Amazon Web Services (AWS) announces the general availability of Prebid Server Deployment on AWS. This new solution empowers AWS customers to monetize their content with programmatic advertising at scale across web, mobile, connected TV, gaming, and other properties by quickly and easily deploying Prebid Server, an open-source solution for real-time ad monetization, in their […]

Gaining media insights while protecting customer data with Amazon Publisher Cloud (APC) powered by AWS Clean Rooms

Many Amazon Web Services (AWS) customers in media and entertainment (M&E) today work with Amazon Publisher Services (APS), part of Amazon Ads, which helps publishers build, grow, and monetize their digital businesses through a suite of tools and cloud services. These customers also run broadcasting, streaming, and analytics workloads using AWS Media Services, such as […]

How Swimming Australia uses machine learning for real-time training pool analytics with AWS Panorama

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.