Category: Amazon Machine Learning

In an era of advanced analytics, fans of professional sports expect more than subjective commentary as part of the viewing experience. They seek data-driven insights, which is where company IMG ARENA (IMGA) excels. Harnessing the power of official sports data to deliver fan-centric experiences, IMGA has helped rights holders, the media, and betting industries offer […]

This blog demonstrates how to use Large Language Models (LLMs), Amazon Bedrock, and Amazon OpenSearch Service to create a movie recommendations chatbot. The demonstration uses the IMDb and Box Office Mojo Movies/TV/OTT licensable data package, which provides a wide range of entertainment metadata. Many Amazon Web Services (AWS) media and entertainment (M&E) customers license IMDb […]

At IBC 2023 in Amsterdam, Amazon Web Services (AWS) Partners showcased cloud solutions that are transforming the media and entertainment (M&E) industry. With over 40,000 attendees from 170+ countries, IBC provided an opportunity for AWS Partners to demonstrate how they help M&E companies reinvent workloads in the cloud to a large in-person audience. The breadth […]

Pressure Probability introduces a dynamic measure of pressure magnitude in the NFL, capturing factors such as distance from the quarterback, speed, and the quarterback’s movement. The result? A numerical representation of how much duress a quarterback faces over time on each play. Football is a game of strategy, athleticism, and split-second decisions. The rush of […]

Last year, we launched Amazon Rekognition video segment detection, an API that makes it easy for media customers to automatically detect frame accurate end credits, black frame segments, shot changes, and color bars in video files using machine learning (ML). Today, we are announcing support for four new types of segments (opening credits, content segments, […]

Content creators face the ever-increasing challenge of cataloging content in a way that is easily accessible by users. Providing content relevant to a user’s search from vast archives of content requires a system that automatically provides the best match from the most relevant content. Using the Amazon Kendra machine learning service, the Wall Street Journal […]

Amazon Rekognition Video is a machine learning (ML) based service that can analyze videos to identify objects, people, faces, text, scenes, and activities, as well as detect any inappropriate content. Starting today, you can streamline media analysis tasks by automating the detection of black frames, end credits, shot changes, and color bars using Amazon Rekognition […]

Hackathons give organizations an opportunity to focus engineering resources on solving sticky challenges or driving bursts of innovation. These exercises can be a valuable part of a tech team’s toolkit, as AWS Partner Network (APN) Advanced Consulting Partner Metal Toad demonstrated. On May 6, Metal Toad launched a virtual hackathon to develop fully functional video […]

Join us May 28 and June 2 for a deep dive on the latest innovations in media technology with AWS customers, partners, and media experts. The conference agenda is now live, featuring four educational tracks spanning the M&E supply chain. Sign up to see breakthrough workflows and hear perspectives from industry leaders in 14 half-hour […]

On February 13, hundreds of media professionals came together for a day of learning at the AWS Media Symposium in Miami. Recordings and slides from selected sessions are now available for viewing as part of this interactive e-book. Whether you missed the event, or want to revisit key insights from AWS customers and partners, click […]