Dalet

Dalet solutions and services enable media organizations to create, manage and distribute content faster and more efficiently, fully maximizing the value of assets. Based on an agile foundation, Dalet offers rich collaborative tools empowering end-to-end workflows for news, sports, program preparation, post-production, archives and enterprise content management, radio, education, governments and institutions. Dalet platforms are scalable and modular. They offer targeted applications with key capabilities to address critical functions of small to large media operations - such as planning, workflow orchestration, ingest, cataloging, editing, chat and notifications, transcoding, play out automation, multi-platform distribution and analytics. With the Ooyala Flex Media Platform, Dalet’s customers can deploy successful strategies to better address their audiences with agile multi-platform content distribution in a wide range of markets, such as sports for teams and leagues, brands and corporate organizations, as well as Media and Entertainment companies looking to scale up their digital offerings.

Current Applications of Machine Learning and Artificial Intelligence in M&E

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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In Conversation with Bitmovin & Plume

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 Conversation with Metaliquid

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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Advanced Video and Dynamic Media Orchestration with Airbnb and TechStyle Fashion Group

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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