What's new and changed in Watson Studio
Watson™ Studio updates can include new features, bug fixes, and security updates. Updates are listed in reverse chronological order so that the latest release is at the top.
You can see a list of the new features for the platform and all of the services at What's new in IBM® Cloud Pak for Data.
Initial release of Cloud Pak for Data Version 4.0
A new version of Watson Studiowas released as part of Cloud Pak for Data Version 4.0.
Operand version: 4.0.0
This release includes the following changes:
- New features
Version 4.0.0 of the Watson Studio service includes the following features and updates:
- Use groups to manage project collaborators
- You can now add a user group as a collaborator in an analytics project. All users in the group have the role that you assign to the group. For details, see Project collaborators.
- Python environments use libraries from Open Cognitive Environment (open-CE)
- In IBM Cloud Pak for Data 4.0, all default environments with Python included in Watson Studio use the latest open source versions of many popular machine learning libraries like TensorFlow, XGBoost and PyTorch from the Open Cognitive Environment (Open-CE). For details, see Environments.
- New permission required to create projects
- To create a project, users must have the Manage projects or Create projects
permission. Restricting who can create projects gives you more control over resource on the
By default, these permissions are only associated with the Administrator role. For details, see Predefined roles and permissions
If you are upgrading from Cloud Pak for Data Version 3.5, your existing users will not have permission to create projects unless they have the Administrator role.
To give users one of these permissions, you can edit an existing role or create a new role. For details, see Managing roles.
- Notebooks support more data source connections
- You can now use the Insert to code function in notebooks with more database connections. For details, see Data load support.
- Access assets with the
ibm-watson-studio-liblibrary provides convenient access to the assets in analytics projects or in deployment spaces.
ibm-watson-studio-liblibrary replaces the
project-liblibrary, which is deprecated.
For details on the advantages of using this new asset library in notebooks in projects or spaces, see Using
- Promote notebooks to deployment spaces
- You can promote notebooks to deployment spaces, then deploy them and make the URL available to users. You can do this manually from a project, or programmatically by using CPDCTL commands. For details, see Promoting notebooks to spaces.
- New version of JupyterLab
- JupyterLab is now at Version 3.0, which includes several Elyra 2.x extensions to the JupterLab interface. These extensions enhance the development of data science and AI models. For details about which Elyra extensions are included, see JuypterLab.
- Support for new connection types
- Watson Studio can now connect to:
In addition, the following connection names have changed:
- Databases for MongoDB
- Microsoft Azure File Storage
- Sybase is now SAP ASE
- Sybase IQ is SAP IQ
This change impacts only the connection type names. The connection settings remain the same.