AWS for M&E Blog
Category: Media Supply Chain & Archive
IBC 2024: A show for the books
The International Broadcasting Convention (IBC), held annually each fall in Amsterdam, provides a forum for forging new connections, reconnecting with old friends, and prompting productive conversations about the media and entertainment (M&E) industry, as well as topics like AI, sustainability, and diversity, equity, and inclusion. Amazon Web Services (AWS) participated in IBC 2024 with more […]
Maple Leaf Sports & Entertainment debuts generative AI video editor to deliver content to fans faster
This blog post was co-authored by Ryan Khurana, Lead, Machine Learning and Advanced Analytics, MLSE. In today’s social media-fueled 24/7 news and entertainment cycle, speed is of the essence, especially when it comes to sports coverage. Every pivotal moment has endless re-watch value, enabling a plethora of stories to be produced from vast archives. This […]
AWS, BBC, Adobe, and others introduce open source framework for fast-turnaround media workflows at IBC 2024
At the 2024 International Broadcasting Convention (IBC), Amazon Web Services (AWS) will unveil the Cloud Native Agile Production (CNAP) project, an open-source initiative aimed at accelerating the creation and delivery of media during live production. Developed in collaboration with BBC’s research and development (R&D) team, Sky, and AWS Partners, including Adobe and CuttingRoom, CNAP debuts […]
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 […]
Unlock the full potential of your media supply chain at IBC 2024
The media and entertainment (M&E) industry is experiencing extensive transformation, driven by evolving consumer expectations, the rise of competing streaming platforms, and the increasing importance of data-driven insights. As content libraries continue to grow, many media organizations recognize the need to migrate valuable legacy assets to the cloud. By doing so, they unlock opportunities to […]
Optimizing streaming media workflows to reduce your carbon footprint: Part II — Codecs and implementation
In Part I of this blog post series, we introduced the Sustainability Pillar of the Amazon Web Services (AWS) Well-Architected Framework through the lens of live and on-demand video encoding workflows powered by Media Services from AWS. We provided guidance to apply best practices from the Sustainability Pillar regarding the choice of AWS Region, use […]
Optimizing streaming media workflows to reduce your carbon footprint, Part I
As awareness grows around the importance of reducing an organization’s carbon footprint, media workflow architects are increasingly interested in understanding the environmental impacts of the workloads they design. One overall resource offered by Amazon Web Services (AWS) cloud architects is the Sustainability Pillar of the AWS Well-Architected Framework (WAF), which provides design principles, operational guidance, […]
How to: Use AudioShake to improve accuracy in localization, transcription, and captioning workflows on AWS
This blog is co-authored by Jessica Powell, AudioShake. Introduction A significant market opportunity exists for individual creators and organizations to provide transcription, dubbing, and captioning services to reach global audiences rapidly. By quantifying demand and optimizing these services, providers can deliver high-quality viewing experiences for consumers worldwide. Automated speech recognition (ASR), artificial intelligence (AI), and […]
Managing media access in a content lake using Shot Locker
Hollywood studios are rapidly adopting cloud-based content production workflows to realize benefits such as scalability, security, and cost savings available with the cloud. However, a major challenge for content producers is allowing secure, controlled access to production media to third-party vendors, such as VFX houses and color grading teams. Shot Locker is an example web […]
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.