AWS Media Blog

Category: Artificial Intelligence

Part 3: contextualized viewer engagement and monetization for live OTT events

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 […]

Case Study: Tabcorp enhances personalized interactive voice response with AWS

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 […]

Nippon Professional Baseball image.

DAZN leverages Amazon Rekognition Custom Labels to score big with Nippon Professional Baseball fans

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 […]

Live content moderation using machine learning

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 […]

Integrating the Content Localization on AWS solution into your media creation and distribution workflow

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 […]

AWS Partner TrackIt streamlines the content curation process with AI Video Reviewer

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 […]

In this diagram, two types of feeds are processed. First, the live RTMP feed from the game court is processed by the media pipeline using AWS Elemental MediaLive and MediaConvert services to create video clips. Second, Hawk-Eye and statistical feeds are pushed into Amazon Kinesis streams. Lambda processes these events and stores them in Aurora Serverless Postgres database.

How Infosys reimagines the game of tennis using AWS

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 […]

Sample high-level architecture overview

“What was that?” Increasing subtitle accuracy for live broadcasts using Amazon Transcribe

Including accurate subtitles for your live content is crucial for an improved viewer experience and to meet accessibility requirements. While most transcriptions for live broadcast are still generated by human stenographers, these processes scale poorly and can be expensive. Amazon Transcribe, which automatically converts speech to text, is an automatic speech recognition (ASR) service that […]

Best Practices for Implementing a Media Asset Management (MAM) Solution on AWS

Media & Entertainment (M&E) customers seeking to modernize their Media Asset Management (MAM) on Amazon Web Services (AWS) have questions to consider before getting started: Should they build their own solution or invest in a 3rd party system? How can they best leverage AWS services to get the most from a MAM in the cloud? […]

Democratize documentation summarization with Hugging Face on Amazon SageMaker

Introduction As the media and entertainment (M&E) industry evolves, companies within the space are finding more opportunities to use artificial intelligence (AI) and machine learning (ML) to deliver a better customer experience. Customer acquisition, retention, and engagement are key areas where AI/ML technologies are poised to deliver significant value. With increasingly complex content consumption patterns, […]