CEO, Peter White, and Head of Insight and Analysis, Lorenzo Zanni share IABM’s latest research and analysis of the current state of Broadcast and Media, and how its future is likely to unfold over the coming months and years.
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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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In this presentation, we will look at how artificial intelligence can learn to produce highly accurate duration estimations, even for complex workflows. The presentation has a technical focus, starting from the initial collection of requirements and working through the modelling process and evaluation, before looking at how such a solution could be deployed. Finally, we’ll look at how such a solution could be integrated into workflows to automate decisions such as “red line” workflows, or pre-emptively scale systems for load.
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In this speaking session, we detail why there is so much untapped potential for AI within the TV industry, and how executives can better harness the power of AI. He would also be able to outline the television industry’s attitudes, experiences and perceptions about AI, as well as how they can use the technology to track, analyze and monetize content more effectively, while also enhancing audience engagement along the way. Finally, we outline additional findings from Veritone’s recent research on the use of AI by television organizations.
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Craig Bury will offer an insight into how development opportunities will advance cognitive and machine learning processes, improving, and enhancing deep content discovery, analysis, and identification to unlock and increase existing and new revenue opportunities and initiatives
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In this presentation Streamhub will demonstrate how a cross-industry data collaboration platform between broadcasters, platforms and agencies in a major OTT market has successfully led to stronger strategic positioning of broadcasters in Japan with greater AVOD revenues for all - and a more joyful user experience for video consumers.
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In this video, Bhavesh Vaghela will delve into the mindset of subscriber to share the psychological drivers motivating their behaviours and reveal how industry-standard practices are alienating consumers from the very beginning of the relationship.
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Cloud-based platforms have opened the door to new opportunities for content companies to automate their supply chain workflows. As component-based workflow formats, such as IMF, become more mainstream, innovative AI technologies are further augmenting the efficiencies that companies are experiencing with IMF in the cloud. This presentation will walk through how companies can make their media workflows as efficient as possible through AI-driven tools, the scalability of the cloud, and the flexibility of IMF.
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In this talk, we will present some recent insights, technical challenges, and lessons learned from creating applications, in which we use AI to help the viewer select the right content quickly.
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