As part of the organization, users can take on different organization-level roles to collaborate. The roles will determine their access to certain platform functionality and information.
Upon joining an organization, users' information such as name, email address, and phone number is shared with the organization owner.
As part of the organization, users can take on different organization-level roles, which will determine their access to certain platform functionality and information.
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For more information, see Managing people’s access within your organization with roles.
Projects
Within an organization, projects are created as spaces for users to organize their own Machine Learning projects. Within a project, users can create and store:
- Datasets;
- Recipes for data-wrangling; and
- Applications, in which to train and deploy machine learning models.
Each project is designed to be a standalone space, and only members invited to be part of the project can see and access the project. Similarly, members can take on different project-level roles which will determine their level of access.
For more information, see Managing people’s access within your project with roles.