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When defining the scope of a new R&D project, the team examines it to verify that it meets the following principles: Impact on editorial staff: Each project must correspond to an editorial use case. Any experimentation not exploited editorially is set aside. Degree of collaboration within the company : the tool developed must serve journalists and editors from several departments. Scalability: Avoid “one-shot” projects and ensure intelligent resource allocation. Impact on data collection or production: the goal of the R&D team is to help bring out journalistic processes as opposed to product development (managed by a different team) Deployment of Artificial Intelligence (AI) and/or Machine-learning (ML): prerequisites necessary for the creation of an efficient editorial team according to the R&D department.



The department within the WSJ The gambling data myanmar mission of the R&D department is to contribute to the overall editorial strategy of the WSJ. Close collaboration with the different teams within the Journal is therefore very important and necessary. An example



” In addition to this collaboration with the Journal's various departments, the R&D department forms partnerships with universities and technology companies around certain projects. For example: the collaboration with the Craig Newmark Graduate School of Journalism which allowed new tools to be tested. The tool developed by it possible to record and structure journalist interviews. The AI ​​tool developed by for WSJ journalists – Image credit: WSJ The long-term objective of the R&D department: to democratize AI and data science within editorial offices by developing tools to serve journalistic skills and talents.