Category: Amazon SageMaker

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 […]

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.

Generative AI offers exciting new possibilities for creatives. In this blog series, we explore different generative AI models for image editing. In Part 1, we developed an AI-powered eraser using Segment Anything Model (SAM) and Big LaMa model hosted on Amazon SageMaker. In just a few clicks, we can remove any unwanted objects from an image. […]

Slow motion video is an integral part of media productions, particularly sports broadcasting, that provides viewers with an enhanced experience. Capturing action in slow motion allows the audience to see details not possible to observe at full speed. However, recording real-time video at high frame rates requires expensive specialized cameras. Even then, extreme slow motion […]

This blog was co-authored by Peter Docherty, Founder and Chief Technology Officer, ThinkAnalytics. ThinkAnalytics is an AWS ISV partner specializing in personalized content discovery, metadata, viewer insight and targeted advertising for media and entertainment. ThinkAnalytics provides AI-powered personalized content recommendations for media companies. Its products are used by major broadcasters and streaming services globally. To […]

Introduction Today, media and entertainment companies own a large number of legacy media content that was created in low or standard resolutions before high-resolution technology was available—for instance, movies, television shows, music videos, and sports highlight clips. Given today’s advancements in display technology, it’s common for audiences to demand video content to be delivered in […]

This blog was co-authored by Alexander Smirnoff, Senior Cloud Applications Developer, and Kirill Serykh, Data Scientist, from Sportec Solutions AG. Figure 1: Bundesliga Match Facts showing real-time in-game statistics Bundesliga, Germany’s premier football league, uses Amazon Web Services (AWS) to deliver near real-time statistics and in-depth in-game insights called Bundesliga Match Facts (BMF). These statistics […]

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 […]

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 […]

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 […]