Last updated: Nov 14, 2023
Learn how watsonx.governance extends your governance capabilities to include all of your AI assets.
Planning a governance strategy is essential to ensuring that your AI solutions comply with the requirements established for your organization. Choose from one of these solutions:
AI Governance
Govern your predictive machine learning models from request to production.
- Define a model use case to identify a business problem and request a predictive machine learning model as a solution.
- Dynamically add factsheets to the associated use case for a model and its deployments throughout the AI lifecycle.
- Evaluate the deployed model for dimensions such as quality, fairness, and drift to ensure it meets your governance standards.
- Store governance artifacts in a catalog associated with your Watson Knowledge Catalog account.
- Requires Watson Knowledge Catalog
watsonx.governance
Govern prompts for generative AI models in addition to governing predictive machine learning models.
- Define an AI use case to define a business problem and request either a predictive machine learning model or a generative AI prompt template as a solution.
- Dynamically add factsheets to the associated use case with details about the tracked model or prompt template.
- Evaluate prompt templates to measure dimensions such as accuracy and to detect the presence of hateful or abusive speech.
- Store governance artifacts in an inventory associated with your OpenScale account.
- Requires watsonx.ai
Parent topic: Watsonx.governance overview