Category: Amazon Machine Learning

Discover how the NFL uses AWS technology to transform fan engagement, offering personalized experiences and real-time insights through a cutting-edge data platform. When Paul Ballew became Chief Data & Analytics Officer at the National Football League (NFL) in 2021, one of his key priorities was to develop a unified view of the League’s fans across […]

Many football (or soccer, in the United States) fans follow teams and leagues from around the world, regardless of their native country or continent. What truly matters is their love for the game and their devotion to specific teams or players abroad. However, fans may encounter difficulty accessing live game updates for their favorite foreign team, […]

Overview Contextual advertising matches advertisements to the content a user consumes, creating a personalized advertising experience. It involves three key players: publishers (website or content owners), advertisers, and consumers. Publishers provide the platform and content, while advertisers create contextually tailored ads. Consumers engage with the content, and relevant ads display based on context. A challenge […]

AWS customers reveal generative AI-powered technologies at Cannes Lions, debut data privacy advancements The advertising and marketing industry is no stranger to rapid transformation. At the Cannes Lions International Festival of Creativity June 17—21, thousands of advertising, marketing, and media and entertainment professionals from around the world come together to celebrate innovative work and discuss […]

This year, Amazon Web Services (AWS) debuts the first-ever generative AI-inspired trophy at the FORMULA 1 AWS GRAND PRIX DU CANADA 2024 June 7 – 9 in Montreal, Canada. AWS designers and marketers collaborated with FORMULA 1 (F1) and the AWS Generative AI Innovation Center to explore trophy designs that capture the elegance of F1 […]

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.

Reader engagement is key for any publisher and directly correlates to revenue growth. One of the best mechanisms to increase reader engagement is personalization. Prior to the mainstream availability of generative AI foundation models (FMs), personalization was, and still is, achieved by understanding patterns in reader behaviour and surfacing content relevant to them. Amazon Bedrock […]

Catching the action of a European football (or soccer) match is easy today, with no shortage of available streaming platforms and services to watch players from all leagues go head-to-head. Yet, when it comes to other sports—like handball, basketball, volleyball, hockey, and table tennis—fans have fewer options. To level the playing field for these enthusiasts, […]

We are pleased to announce the official release of Guidance for Media2Cloud on AWS version 4.0. This release offers enhancements that assist Amazon Web Services (AWS) customers in monetizing their media archives, generating content metadata more cost effectively, and leveraging generative AI to produce new kinds of content metadata. The new version of Media2Cloud still […]

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 […]