Watson OpenScale on Cloud Pak for Data as a Service

Description

Use IBM 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.

A diagram depicting how Watson OpenScale fits into the service architecture for Cloud Pak for Data as a Service.

IBM 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.

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

Table 1. Related services. The following related services are often used with this service and provide complementary features, but they are not required.
Service	Capability
Watson Speech services	Speech processing capabilities to transcribe spoken text from audio or to produce natural-sounding voice audio from written text.
Watson 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.