Services for watsonx.data as a Service with gen AI experience

For watsonx.data as a Service with gen AI experience required different services. For the Lite plan, key services are automatically provisioned. For enterprise plan, the services must be manually provisioned.

Services for watsonx.data with gen AI experience

The following services are required for watsonx.data as a Service with gen AI experience.

watsonx.data

IBM watsonx.data is an open lakehouse architecture that combines the elements of the data warehouse and data lake models. The best-in-class features and optimizations available on watsonx.data make it an optimal choice for next generation data analytics and automation.

watsonx.ai Studio

watsonx.ai Studio provides the environment and tools for your team to collaboratively solve your business problems. You can choose the tools you need to analyze and visualize data, to cleanse and shape data, to experiment with prompting foundation models, to tune foundation models, or to create and train machine learning models.

The watsonx.ai Studio service was formerly known as the Watson Studio service.

watsonx.ai Runtime

watsonx.ai Runtime provides the resources to run and deploy gen AI and machine learning solutions.

watsonx.data integration

watsonx.data integration is where you transform, integrate, and observe your data across various data sources, including databases, file systems, real-time web services, and other enterprise applications.

watsonx.data intelligence

Watsonx.data intelligence is where you manage data quality, governance, and compliance with data lineage, a governed catalog, and data product sharing. For watsonx.data as a Service gen AI experience, you must provision a Premium plan for watsonx.data intelligence. For more information, see watsonx.data intelligence.

Cloud Object Storage

IBM Cloud Object Storage provides storage for projects, catalogs, and deployment spaces. You can also create connections to access data in an IBM Cloud Object Storage instance. When you create a project, catalog, or deployment space, you must choose an IBM Cloud Object Storage instance. You can use a single instance for all projects, catalogs, and deployment spaces, or you can use multiple instances. Each project, catalog, and deployment space has its own dedicated bucket. The bucket stores files for assets, such as uploaded data files or notebook files. The connection between the project, catalog, or deployment space and its storage bucket is implicit.