Watson OpenScale
Version: 5.1.2
Experience: Cloud Pak for Data watsonx™
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 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.
Choosing a governance solution
Watson OpenScale can be installed as part of the integrated watsonx.governance™ service or as a separate service.
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The watsonx.governance service includes governance features for generative AI assets as well as machine learning assets.
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As a separate service, Watson OpenScale can evaluate machine learning models and generate insights about performance. It can be used with other services to build a comprehensive AI governance solution for machine learning models.
Licensing information
This service is included in the following licenses:
- IBM Cloud Pak® for Data Enterprise Edition
- IBM Cloud Pak for Data Standard Edition
- IBM® watsonx.governance Model Management
For more information, see Licenses and entitlements.
Quick links
- Install: Install the service
- Administer: Manage and maintain the service
- Use: Work with the service
- What's new: See a list of new features
- Known issues: View limitations
- Troubleshoot: Find solutions to problems
- Develop: Write code and build applications
Integrated services
Service | Capability |
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Runtime 24.1 on Python 3.11 for GPU | Access compute environments for Jupyter Notebooks that use GPU-accelerated Python 3.11 libraries. |
Runtime 24.1 on R 4.3 | Access compute environments to create Jupyter Notebooks that use R 4.3 libraries. |
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. |
AI Factsheets | Use AI Factsheets to organize and track lineage events, facts, and details for each of your machine learning models' lifecycle, and increase transparency for model governance needs. |