0 / 0
AI Governance

AI Governance

AI Governance is a set of tools and capabilities for managing your AI assets in accordance with your organization's regulations and requirements. Evaluate assets to meet compliance goals, and collect governance facts for machine-learning models from request to production.

Use these tools to meet your compliance goals:

  • Watson OpenScale provides tools for configuring monitors that evaluate your deployed assets against thresholds you specify. For example, you can configure a threshold that alerts you when predictive machine learning models perform below a specified threshold for fairness in monitored outcomes, or drift from accuracy. A Model Health monitor provides real-time performance tracking for deployed models.
  • AI Factsheets collects the metadata for machine learning models and prompt templates you explicitly track. Develop AI use cases to gather all of the information for managing a model from the request phase through development and into production. Manage multiple versions or a model, or compare different approaches to solving a business problem within a use case. Factsheets display information about the models including creation information, data that is used, and where the asset is in the lifecycle.

Learn more

Learn about watsonx.governance plans.

Generative AI search and answer
These answers are generated by a large language model in watsonx.ai based on content from the product documentation. Learn more