watsonx.ai Studio
on Cloud Pak for Data as a Service
Last updated: Feb 21, 2025
watsonx.ai Studio on Cloud Pak for Data as a Service
Description
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IBM
watsonx.ai Studio is one of the core services in
Cloud Pak for Data as a Service.
The watsonx.ai Studio service was formerly known as the Watson Studio service.
watsonx.ai Studio is part of Cloud Pak for Data as a
Service and provides the data science capabilities of the data fabric architecture.
watsonx.ai Studio provides the environment and tools
for you to collaboratively work on data to solve your business problems. You can choose the tools
you need to analyze and visualize data, to cleanse and shape data, to ingest streaming data, or to
create and train machine learning models.
The architecture of watsonx.ai Studio is centered
around the project. A project is a workspace where you organize your resources and work with
data.
You can have these types of resources in a project:
Collaborators are the people on the team who work with the data. Data
scientist tasks include analyzing data and building models. Data engineer tasks include preparing
and integrating data.
Data assets point to your data that is either in uploaded files or accessed through connections
to data sources.
Operational assets are the objects you create, such as scripts and models, to run code on
data.
Other types of assets that provide components, templates, or other information.
Tools are the software you use to derive insights from data. These tools are included with the
watsonx.ai Studio service:
Data Refinery: Prepare and visualize data.
Jupyter notebook editor: Code Jupyter notebooks.
RStudio®: Code Jupyter notebooks in R and R Shiny apps.
SPSS Modeler: Automate the flow of data through a model with SPSS algorithms.
Decision Optimization model builder: Optimize solving business problem scenarios.
Other project tools require additional services. See the lists of supplemental and
related services.
Federated learning: Train models on remote parties without sharing data.
Pipelines: Automate end-to-end flows of data or models.
watsonx.ai Studio projects fully integrate with the catalogs and
deployment spaces:
Catalogs are provided by the Watson Knowledge Catalog service
You can easily move assets between projects and catalogs.
Catalogs and projects support the same types of data assets.
Data protection rules are enforced on catalog assets that you add to projects.
Deployment spaces to view and manage model and other types of deployments.
You can easily move assets between projects and deployment spaces.
Table 2. Related services. The following related services are often used with this service and
provide complementary features, but they are not required.
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