In this IABM TV interview, Marc Stevens (CEO, Zorroa) gives an overview of Zorroa’s ML platform including who it's built for, it's common use cases, and how it is helping organizations solve challenges in the ML space.
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We catch up with Mataliquid's Head of Sales Maria Lodolo D'Oria to find out more about their recent project with Minerva where they delivered a revolutionary viewing experience of the recent US Presidential Debates.
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In this IABM TV interview, Hiren Hindocha (CEO, Digital Nirvana) gives an update on Digital Nirvana including a snapshot of some of their upcoming products and the key technologies they plan to leverage going forward.
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Discover how AI and ML improve the quality of schedules, reduce human efforts, and boost the accuracy of predicted ratings. By MEDIAGENIX.
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How the SF Giants Further Fan Engage by using AI featuring Logan Ketchum Director of Sales and Strategic Partnerships at Veritone and Paul Hodges Vice President of San Francisco Giants Productions.
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This live session will focus on data-driven media, including innovative artificial intelligence and machine learning solutions to create, manage and deliver content as well as analytics solutions enabling informed decision-making at media organizations.
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The innovation we want to talk about in this session explains how AI/ML is used today to automatically transform horizontal 16:9 live streams into vertical 9:16 ones in real-time and without “cropping” (so loosing) important information contained in the original 16:9 frames.
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This presentation will examine the benefits of targeted advertising for viewers, advertisers, and operators, as well as some of the delivery challenges. Attendees will learn how operators can collect viewer data and enhance decisions related to targeted advertising using artificial intelligence. By providing invaluable insights into what content is popular and what’s not, data and analytics help to improve the relevance of content and advertising delivered by service providers to individual viewers and households.
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New intelligence introduces a new dimension to video service churn management because it paves the way for service providers to act on an individual at-risk customer basis, tailoring their actions in accordance with each of these variables identified as increasing individual churn risk levels!
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During this session we will discuss how to use AI content tagging to optimize video services content catalogue, making it easily searchable, and their content discoverable.
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