Six steps to guide your business through a metadata transformation process to deliver world class entertainment experiences and become a future-proofed business.
In this paper we’re going to focus on Metadata in the context of the Media & Entertainment Industry and why it’s the most important thing you need to consider right now. We’re going to give you an outline of the steps you need to go through to get from where you are today, to where you need to be, to drive world class entertainment experiences.
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Video consumption on OTT platforms has gathered rapid momentum in the last couple of years, peaking significantly in the past few months – thanks to the audience being locked down due to COVID19 pandemic. With so many platforms and so much of content available for consumption today, OTT players are hard pressed for time to create the buzz and differentiation for their shows across media.
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Success with video doesn’t come from choosing a mystical single best-of-breed MAM, Edit Suite, Live Switcher, DAM – or any other system.
Instead, it comes with being able to easily orchestrate human, semi-automated and automated workflows among these systems, and others that will inevitably emerge.
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Getting The Job Done: Production Teams During COVID-19 Global Pandemic
As scientists and doctors work around the clock to save lives while global measures to flatten the curve (398,900+ COVID-19 cases to date) continue, such as global lock-downs and travel bans, journalists and production teams are experiencing extremely difficult and unique circumstances surrounding news asset collection and publishing.
For a majority of those working in the media industry, there is a newsroom epicenter in which all digital content is stored and shared via internal servers.
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From small time studios to international broadcasters, everyone is rethinking their technology choices and weighing their options. Here are the top 5 tech trends Prime Focus Technologies predict will have a major impact in 2020:
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For diehard football fans everywhere, COPA90 is “How Football Feels.” That tagline says it all:
As the world’s largest independent football media business, COPA90 reaches millions of fans and followers across a multitude of online platforms and social media channels. Unlike traditional rights holders that stream live matches, COPA90 focuses on the world of fan culture – serving up a rich helping of content ranging from chats with favorite footballers and in-depth documentaries to amazing animations and explainers about the biggest stories in the game.
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The evidence of industry change is all around us and the Broadcast and Media (BaM) Content Chain® has been developed to reflect those changes and to be inclusive of emerging new products and services. IABM is perfectly positioned to observe these changes with its various activities such as market research and biannual BaM Awards® at IBC and NAB. But more than that, IABM can act as a catalyst and support for change, helping existing organisations to adapt and new ones to flourish.
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Manage is one of the BaM Content Chain® segments that’s seeing the most change and innovation. Content management systems have historically been associated with large, complex and expensive installations, requiring extensive customization and integration work by technology suppliers. But as broadcast and media companies have increasingly required more flexible systems to keep up with the inexorable move of the industry towards multi-platform content delivery, they are shifting away from monolithic solutions towards agile content management systems that are increasingly utilizing microservices.
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Shweta Jain, APAC Head of Business Development, Media & Entertainment, Amazon Web Services
In this session you will learn about enhancing media workflows built around ingest, media asset management, live and on-demand video streaming and also the customer engagement with Machine Learning. The session covers a broad set of use cases ranging from metadata enrichment and content moderation to personalisation and how to address them using AWS’s powerful portfolio of Machine Learning services.
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