AWS Media Blog

Category: Amazon Polly

Case Study: RSI Affordably modernizes audio and video content management on AWS

  Radiotelevisione svizzera (RSI), a Swiss public broadcaster, needed to modernize its infrastructure. Its systems were built specifically for broadcast television, and were not able to adapt to the rapidly evolving media industry – particularly streaming content. Claranet, an AWS Premier Consulting Partner, developed a prototype in just 3 weeks, and a backend architecture to […]

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Learn more: M&E chalk talk presentations from AWS re:Invent 2019

re:Invent Chalk Talks are a highly interactive content format, beginning with a short lecture delivered by an AWS expert, followed by a 45- or 50-minute Q&A session with the audience. While these sessions are not recorded, we wanted to share the decks with you as they contain valuable technical details. If there are any topics […]

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How-to: Capturing and amplifying user engagement through real-time sentiment analysis

Often times in the evening, I come across a random television commercial that has nothing to do with my interests and it totally missed the mark. Several weeks back, I began thinking, what if there was a way for advertisers to be able to dynamically adjust content based on how I was feeling? What if […]

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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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AWS Media & Entertainment at NAB 2018

NAB is the ultimate event for the media, entertainment, and technology industry with over 100,000 attendees from around the world coming to the Las Vegas Convention Center from April 9-12. And once again AWS will be present to showcase our latest releases to help media technologists work faster, smarter, and more efficiently. Machine learning and […]

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