What is the architecture of Watson Studio centered around?

The architecture of Watson Studio is centered around projects, which serve as the foundational units for organizing and managing various elements of data science work. In a project, users can collaborate on data assets, share notebooks, and work on machine learning models. Each project encompasses a range of components such as datasets, models, and code, allowing teams to effectively organize their workflow and ensure that all necessary resources are available in one cohesive space.

By structuring Watson Studio around projects, it facilitates collaboration among data scientists, analysts, and other team members, making it easier to track progress, allocate resources, and manage contributions from multiple collaborators. This project-centric approach streamlines the workflow and enhances the overall efficiency of data science initiatives compared to focusing solely on individual data assets, collaborators, or specific environments like Spark.