AWS for M&E Blog

Category: Data Science & Analytics for Media

AWS and NHL unveil new NHL EDGE IQ Ice Tilt metric to help measure momentum during the game

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 […]

Build generative AI conversational search assistant on IMDb dataset using Amazon Bedrock and Amazon OpenSearch Service

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 […]

Crunching the numbers with Next Gen Stats: Unveiling the impact of defensive pressure in the NFL

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 […]

Tackling Next Gen Stats: How AWS is using AI to advance sports analytics with the NFL

Football, a sport of strategy, athleticism, and heart-pounding moments, has always been a game of numbers. Beyond the touchdowns, sacks, and interceptions, there’s a world of hidden metrics that shape the dynamics of each play. We sat down with the AWS Generative AI Innovation Center (GAIIC) to unveil the intricacies behind ‘Pressure Probability,’ the latest AI-powered […]

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Generative AI assists creative workflows with inpaint eraser and Amazon SageMaker – Part 1

Introduction Generative AI is transforming how content is created and consumed. Media & Entertainment (M&E) companies face growing demand for personalized and engaging content to serve their audiences across multiple channels. Models like Stable Diffusion, where images and video can be generated with just a simple text prompt, allows businesses to leverage generative AI as […]

AWS Partners showcase how the cloud is transforming the media & entertainment industry at IBC 2023

Take your business to the next level with the help of Amazon Web Services (AWS) and AWS Partners as they demonstrate new solutions for media and entertainment built on AWS at IBC 2023. From 15 to 18 September at the RAI: Amsterdam, learn more about these media and entertainment solutions designed to simplify how industry […]

AWS to showcase transformative M&E cloud solutions at IBC 2023

Demonstrations, customer presentations, and a variety of panel discussions illustrate the power of the cloud in creating, delivering, and monetizing compelling content experiences As professionals across the global media and entertainment (M&E) industry prepare for the annual International Broadcasting Convention (IBC) 2023 in Amsterdam September 15–18, Amazon Web Services (AWS) is unveiling an exciting lineup […]

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12 Partner Solutions now available in the M&E Solutions Library

Amazon Web Services (AWS) has added 12 new Partner Solutions tailored for media and entertainment (M&E) applications to the AWS Solutions Library. Designed as a pathway to enable customers to deliver better outcomes faster, the AWS Solutions Library features purpose-built technologies, ready-to-deploy software packages, and customizable architectures offered by AWS and AWS Partners. Each new […]

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Ball trajectory tracking in sports broadcast videos using AWS machine learning

In the past few years, professional sports has applied machine learning (ML) in ways that revolutionize game analysis, accelerate innovation, and improve fan experiences. For instance, NFL Next Gen Stats uses machine learning and data analytics to boost accuracy, speed, and insights in real time to enhance viewing experiences. NHL Face-off Probability uses ML-driven data […]

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Inside the arc: The Toronto Raptors’ journey from on-premises compute to AWS for novel player insights

This post is authored by Devin Pleuler, Senior Director of R&D at Maple Leaf Sports & Entertainment (MLSE), and Ari Entin, Principal of AWS Sports Marketing Communications. 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.  Introduction In […]