AWS for M&E Blog
Category: Amazon Machine Learning
AWS to highlight generative AI, cloud advancements at IBC 2024
With the annual International Broadcasting Convention (IBC) around the corner, Amazon Web Services (AWS) is gearing up to showcase the latest media & entertainment (M&E) innovations from artificial intelligence (AI) to live cloud production solutions. In addition to hosting meetings and demos in its double-decker stand (5.C90) in Hall 5 at the RAI from September […]
PGA TOUR automates play-by-play commentary with Amazon Bedrock
PGA TOUR harnesses generative AI for real-time, contextualized play-by-play commentary, enhancing fan engagement across multiple channels and languages.
AI-powered FAST channel assembly with ThinkAnalytics on AWS
This post was co-authored by Chris McGuire, SVP Products, ThinkAnalytics. ThinkAnalytics is an AWS ISV Partner specializing in personalized content discovery, metadata, viewer insight, and targeted advertising for media and entertainment. ThinkAnalytics offers tools for AI-powered content recommendations, channel creation, and scheduling. Major broadcasters and streaming services around the world use the company’s products. At […]
Inside the NFL’s innovative fan data platform powered by AWS
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 […]
Revolutionizing fan engagement: Bundesliga generative AI-powered live commentary
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, […]
Media2Cloud on AWS Guidance: Scene and ad-break detection and contextual understanding for advertising using generative AI
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 […]
4 new ways AWS customers are using Amazon Bedrock to transform advertising and marketing
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 […]
AWS brings generative AI to the FORMULA 1 AWS GRAND PRIX DU CANADA 2024
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 […]
How Swimming Australia uses machine learning for real-time training pool analytics with AWS Panorama
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.
Enabling publishers to customize content while maintaining editorial oversight with Amazon Bedrock
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 […]