AWS Media Blog

Category: Amazon Machine Learning

The New World of Watching Machine Learning-Enhanced Streaming Sports

Gone are the days when watching sports on television meant turning on the one and only broadcaster which owned the rights to televise an event. Several sports-specific OTT offerings have launched in the last year with broadcasters realizing that sports are the last bastion of streaming video for which viewers are willing to pay a […]

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Presentations from the Media & Entertainment London Symposium on December 4

Whether you missed our event on Dec 4 2018 at BAFTA in London, or you were able to attend and would like to have a copy of the presentations, we are delighted to provide an overview of the sessions and assets to review. The overall objective of the event was to gather customers and partners […]

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re:Invent 2018: Presentations from M&E-related Sessions

Missed any of the media-related sessions from re:Invent? Below are the videos and slide decks (where available) for M&E-related breakouts. Click here to see the full list of M&E-related sessions across breakouts, chalktalks, and workshops. If you want to see all videos and slide decks across all re:Invent 2018, they are available here and here respectively. You […]

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What’s New From re:Invent – Relevant M&E Releases and Launches

With over 100 launches and announcements of new services and major features during re:Invent, it can be hard for any media technologist to keep track of the most relevant for media workloads. Of the many announcements, three stood out as game changers for our M&E customers: Amazon Personalize: Leverage Amazon.com’s personalization technology to deliver personalized […]

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In the News: Pac-12 Conference Goes All-In on AWS

Last week AWS announced that Pac-12 Conference (Pac-12) is going all-in on AWS as its standard for machine learning and media workloads. Their new approach takes advantage of AWS cloud technologies to re-imagine core master control production workflows as well as content archive, personalization, and monetization. Read the full Press Release or AWS Elemental Blog to learn more. […]

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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 […]

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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 […]

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Upcoming AWS Tech Talk: Tape-to-Cloud Migration Walkthrough

DATE and TIME: October 24 | 11:00 AM – 12:00 PM PT (2:00 PM – 3:00 PM ET) 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 […]

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AWS M&E Cloud Symposium in Los Angeles – Presentations Available for Download

If you missed our M&E Cloud Symposium on July 31, 2018, session recordings and presentation decks are now available for viewing and download. PRESENTATIONS Opening: State of Media and What’s New from AWS State of Media and Whats New from AWS: LA Symposium 2018 from Amazon Web Services Ben Masek (Global M&E BD Lead, AWS) […]

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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 […]

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