Category: Artificial Intelligence

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 […]

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 […]

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? […]

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, […]

We are happy to announce the official release of Media2Cloud 3.0. This release helps AWS customers simplify and expedite their media migration workflow into AWS. It provides a framework to implement artificial intelligence and machine learning (AI/ML) to create frame-level descriptive metadata about content. This new version of Media2Cloud still includes the features that customers have […]

The use of artificial intelligence (AI) helps speed up many operations that were unthinkable until some time ago. In many cases, it is necessary to understand the content of your image archive or the dialogue in an audio or video file to intercept content deemed harmful, dangerous, or out of place for a given situation […]