watsonx.ai Runtime on Cloud Pak for Data as a Service
Description
IBM watsonx.ai Runtime provides a full range of tools and services so that you can build, train, and deploy Machine Learning models. Choose the tool with the level of automation or autonomy that matches your needs.
The watsonx.ai Runtime service was formerly known as the Watson Machine Learning service.
watsonx.ai Runtime is part of Cloud Pak for Data as a Service and provides the machine learning capabilities of the data fabric architecture.
These tools are available with the watsonx.ai Runtime service:
- AutoAI experiment builder for automatically processing structured data to generate model-candidate pipelines. The best-performing pipelines can be saved as a machine learning model and deployed for scoring.
- Notebooks provide an interactive programming environment for working with data, testing models, and rapid prototyping
- Deployment spaces give you the tools to view and manage model deployments.
- Federated Learning to train models using remote, disconnected data sources. The federated sources can contribute to building an accurate model without compromising security.
- Tools to view and manage model deployments.
Quick links
- Use: Work with the service
- Develop: Write code and build applications
- What's new: See what's new each week
- Known issues: View limitations
- Troubleshoot: Find solutions to problems
- Create: Create the service instance
- Videos: Watch tutorials
- Offering plans: Capabilities for each plan
Integrated services
| Service | Capability |
|---|---|
| watsonx.ai Studio | Prepare, analyze, and model data in a collaborative environment with tools for data scientists, developers, and domain experts. |
| Watson OpenScale | Infuse your AI with trust and transparency. Understand how your AI models make decisions to detect and mitigate bias. |