Category: Data Science & Analytics for Media

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 […]

This blog is co-authored by William Reyes, Data Engineer, MLSE, Sport Performance Lab. How MLSE developed a cloud-based rapid prototyping solution to reduce time-to-insight In the dynamic world of professional sports, analytics and data-driven decision-making offer competitive advantage to sports teams and leagues. New avenues for competitive advantage have emerged as the varieties of performance […]

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.

Introduction The quantity of video content is expanding rapidly, driven by both professional publishers and the contributions of social media users. As users increasingly demand content that resonates with their interests, the role of recommendation engines becomes critical. For video, these engines rely on rich meta-information to deliver relevant suggestions. However, the sheer volume of […]

More than 61,000 media and entertainment (M&E) industry professionals from 163 countries gathered in Las Vegas, Nevada, earlier this month to network, explore emerging technologies, and discuss the trends shaping the future of content production, delivery, and monetization at NAB Show 2024. Amazon Web Services (AWS) pulled out all the stops for the show, including […]

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. […]

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 […]