AWS for M&E Blog
Category: Amazon Machine Learning
Pac-12 Conference upgrades sports video experience using AWS
Pac-12 Networks, the sports media production arm of the prestigious Pac-12 Conference, is on a mission to transform the sports fan experience – reaching more viewers, at more locations, and on more devices. Their new approach takes advantage of AWS cloud technologies, including AWS Elemental Media Services, to re-imagine core master control production workflows as […]
AWS M&E Symposium in London – December 4, 2018
[UPDATE Dec 13] Presentations from this event are now available for viewing and downloading here. This one-day event will bring together Media & Entertainment industry pioneers that are transforming their businesses with the Cloud. We will address video workloads across content production, media management and delivery. Join us to hear the experiences of others in […]
New case study: National Geographic speeds innovation with serverless computing on AWS
In this case study, learn how National Geographic leveraged AWS serverless and machine learning services to build the mobile-native National Geographic App, a searchable portal to the company’s multimedia content catalog going back over 130 years. “We have 130 years of valuable content that is relevant and useful today, but only if it’s accessible and […]
On-demand AWS tech talk: Tape-to-cloud migration walkthrough
ABSTRACT: Level 300 | Service How To Whether a content creator (like a studio) or a distributor (like a broadcaster), Media Asset Management is a core workload for Media & Entertainment companies. In this tech talk, learn from media-specialist AWS Solution Architects as they walk through the newly released content migration solution from AWS, incorporating […]
AWS M&E Cloud Symposium in Los Angeles – Presentations available on-demand
If you missed our M&E Cloud Symposium on July 31, 2018, session recordings are now available for viewing. PRESENTATIONS Opening: State of Media and What’s New from AWS Ben Masek (Global M&E BD Lead, AWS) Usman Shakeel (Global M&E Tech Lead, AWS) Chris Kuthan (M&E Solutions BD, AWS) AWS M&E subject matter experts present AWS’s […]
AWS at vETC: The grand convergence – The evolving media pipeline aided by machine learning
Watch Scott Spector, AWS Professional Services Global M&E Lead, as he discusses The Evolving Media Pipeline Aided by Machine Learning at the June 27, 2018 vETC. This presentation covers the evolving media landscape of content delivered anytime, anywhere on any platform as new Machine Learning (ML) services help content creators navigate the end-to-end ecosystem from content […]
VidMob combines computer vision and language AI services for data-driven creative asset production
Learn how VidMob is taking machine learning to ad viewing and engagement data in order to improve content creation: VidMob is a social video creation platform that marketers of all sizes can use to develop personalized advertising communications at scale. VidMob uses machine learning (ML) to power its SaaS application. This application uses metadata extraction […]
AWS speaks at HITS spring on how M&E companies can benefit from machine learning
Usman Shakeel, AWS Media & Entertainment Global Tech Lead, recently spoke at MESA HITS Spring on the topic of how media and entertainment companies stand to benefit from the use of machine learning. Click the link below link to learn more about the session. LINK: HITS Spring: M&E Companies Can Significantly Benefit from Machine Learning […]
Tech talk now on-demand: Media processing workflows at high velocity & scale using orchestration & machine learning
If you missed our webinar on March 28, no need to worry. The recording is now available on YouTube with the slides available for download (see below). Abstract: Content owners, creators and publishers use media supply chains to package and process digital video content and programming from content producers so it can then be delivered […]
Webcast on-demand: Media processing workflows at high velocity and scale using orchestration and machine learning
Click here to watch the on-demand version of Media Processing Workflows at High Velocity and Scale using Orchestration & Machine Learning Level 200 | Use Cases How To Content owners, creators and publishers use media supply chains to package and process digital video content and programming from content producers so it can then be delivered to local affiliates […]