Dalet – Fostering Effective Collaborative News Production in COVID-era Newsrooms
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...
In Conversation with Dalet
In Conversation with Robin Kirchhoffer, Dalet
In this IABM TV interview, Robin Kirchhoffer (Director of Marketing, Operations & Content, Dalet) discusses Dalet Connect and the digital and content experiences media professionals can expect on the platform.