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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This presentation will look at how the latest advancements in AI/ML are helping to improve quality control of captions. The session will also explore new ML solutions for text detection and speech to text conversion, and how, by using these intelligent techniques, broadcasters can auto align content and text suggestions, save significant time and expense, while increasing accuracy and creativity.

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This presentation will explain the basic limitations of deep learning-based methods and corrective measures that might help improve the outcome of any ML-based solution. The benefits of manual review and offline/batch training will be discussed. Attendees will gain a better understanding of the inherent limitations of the ML methods to use the technology more effectively.

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Data Week AI/ML & AnalyticsAccomplishing Rapid Closed-Captioning Across All Platforms, Using AIRussell Wise, Senior Vice PresidentArtificial intelligence (AI) and machine learning (ML) processing in the cloud today offers impressive accuracy, scalability and trainability across a variety of applications useful to production houses and content creators. To benefit fully from these services, however, users must be able to integrate AI- and ML-driven microservices into the on-premises workflows that already support day to-day operations. [bc_video video_id="6187288104001" account_id="4229317768001" player_id="BkgkXSCcOM" embed="in-page" padding_top="56%" autoplay="" min_width="0px" max_width="640px" width="100%" height="100%"]

Data Week AI/ML & AnalyticsFostering Effective Collaborative News Production in COVID-era Newsrooms using Neural AI Multimodal Recommendation TechniquesMichael Elhadad, Director of Research & DevelopmentSPEAKER BIOMichael Elhadad is a co-founder of Dalet and serves as a Member of the Management Board and Director. Mr. Elhadad has been Director of Research & Development of the group since 1996. Mr. Elhadad graduated from Ecole Centrale de Paris and has a PhD in Artificial Intelligence from Columbia University. He is the author of over 50 papers on Artificial Intelligence and Computational Linguistics.As news production teams are increasingly forced to work in a dispersed manner, technology solutions can partially alleviate the lack of co-location to create connections among journalists. We report on an experiment where AI techniques are used to recommend multi-media content to journalists when they are working on their stories. These techniques rely on dramatic, recent progress in Natural Language Processing and Vision research, including neural pre-trained Transformer models such as BERT (Bidirectional Encoder Representations from Transformers). At Dalet, we have developed a news recommendation system for journalists as a set of cloud-based SaaS APIs. In this talk we will report on user experiments with journalists that cover text and video in multiple languages...

Three Media's XEN:Pipeline is a new generation Business Content Management System that will drive transformational change across the content supply chain. Sitting at the heart of operations, its automated workflows and business processes are designed to discover, transform, curate and manage your metadata and content throughout its lifecycle, from concept through to distribution.