While the impact of ML and AI have been discussed and debated for years, practical applications are fast accelerating across the media supply chain. The pace of innovation is moving quickly and with the cloud wars in full force, there are new services becoming available all the time that offer novel ways to automate tasks with ML and AI. Already, the big three cloud providers — AWS, Azure, and Google — have rolled out powerful capabilities that help with essential tasks including captioning, transcription, and even object/facial recognition to bolster compliance edits and to augment metadata. For media organizations, the implications of these solutions are vast, and we’ve already begun to see their power. With things moving so fast, though, it’s challenging to keep up and important to have the right architecture and structure in place to take advantage of these innovations.
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We catch up with Kara Kandarakis of Triforce Entertainment to discuss how the company have adapted during the Covid19 Pandemic and the opportunities they see going forward.
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In this panel discussion with Reinhard Grandl (Head of Product, Bitmovin) & Bill McFarland (CTO, Plume), we hear about their key markets and the differences in each of these markets. We hear how Covid-19 has affected their business along with the biggest challenges they have faced during the crisis.
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In this IABM TV interview, Maria Lodolo D'Oria (Head of Sales, Metaliquid) discusses the current state of recognition technology in the broadcast and media industry.
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Organizations of all types and sizes use an ever-growing variety of tools, systems, and platforms that specialize in particular tasks or stages of the content lifecycle – from planning tools, asset and metadata management systems, to creative production, analytics, and AI platforms just to name a few.
As we’ve learned over the years, the more tools you have, the more tools and processes you have to connect. And soon, the number of arrows on the ecosystem diagram outnumber the boxes (tools). But which specialty is responsible for governing all those arrows that span from planning to preservation and everything in-between? Dynamic Media Orchestration.
Join us for a look at how two very different video content leaders came to realize that their greatest opportunities weren’t around how many more tools they could leverage – but instead, involved intelligently orchestrating the tools, people, and processes they already had.
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In this Lorenzo Zanni (Head of Insight & Analysis, IABM) and Ryan Steelberg (President, Veritone) discuss Artificial Intelligence and Machine Learning.
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This session examines the effects of COVID-19 across production and post-production workflows throughout the APAC region.
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We caught up with Brick Eksten, the new CEO of Qligent to find out his plans for the companies development going forward.
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Join us to learn how GrayMeta and Qumulo are simplifying workflows, driving organizational and cost efficiencies across the content supply chain. Through the seamless integration of the GrayMeta platform powered by Machine Learning, its suite of next generation quality control, compliance and collaboration tools, and the myriad of storage solutions offered by Qumulo, content is more readily accessible, anytime, anywhere.
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This on demand webinar is part 1 of our Demystifying AI/ML series. In it, we will delve deeper into one of the most important and interesting use cases of artificial intelligence and machine learning (AI/ML): content monetization. The focus will be on the strategic and practical implications of AI/ML at the intersection of content and technology.
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