This podcast episode features Clément Dumortier, a machine learning engineer at the International Consortium of Investigative Journalists (ICIJ), discussing the impactful role of technology, specifically the Datashare plugin powered by Neo4j, in revolutionizing investigative journalism. Clément elaborates on the challenges faced in processing vast datasets from prominent leaks, showcasing how the Datashare tool transforms these extensive documents into accessible knowledge by employing graph databases to visualize complex connections between entities. Through practical demonstrations, he illustrates how entity resolution enhances data accuracy, paving the way for more insightful investigations, while also outlining future enhancements aimed at automating processes and improving efficiency.
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