watsonx.governance on Cloud Pak for Data as a Service
Description
Use Watson OpenScale to analyze your AI with trust and transparency and understand how your AI models make decisions. Detect and mitigate bias and drift. Increase the quality and accuracy of your predictions. Explain transactions and perform what-if analysis.
Watson OpenScale is part of Cloud Pak for Data as a Service and provides the AI monitoring capabilities of the data fabric architecture.

Watson OpenScale is an enterprise-grade environment for AI applications that provides your enterprise visibility into how your AI is built, is used, and delivers return on investment. Its open platform enables businesses to operate and automate AI at scale with transparent, explainable outcomes that are free from harmful bias and drift. Watson OpenScale supports external models that are developed in third-party providers, including Amazon Web Services or Microsoft Azure.
With the Watson OpenScale service, you can scale adoption of trusted AI across enterprise applications on hosted on-premises environments or in a private cloud environment.
This service adds a tool or other type of interface that runs in IBM Cloud outside of Cloud Pak for Data as a Service and provides APIs that you can run in notebooks.
Quick links
- Administer: Manage and maintain the service
- Use: Work with the service
- Develop: Write code and build applications
- What's new: See what's new each week
- Troubleshoot: Find solutions to problems
- Create: Create the service instance
Integrated services
Service | Capability |
---|---|
Watson Speech services | Speech processing capabilities to transcribe spoken text from audio or to produce natural-sounding voice audio from written text. |
watsonx Assistant | Build your own branded assistant into any device, application, or channel. Users interact with your application through the user interface that you implement. |
Watson Machine Learning | Build, train, and deploy machine learning models with a full range of tools. |
Watson Studio | Prepare, analyze, and model data in a collaborative environment with tools for data scientists, developers, and domain experts. |