- Govern generative AI (gen AI) and machine learning (ML) models from any vendor including IBM® watsonx.ai™, Amazon Sagemaker and Bedrock, Google Vertex and Microsoft Azure.
- Evaluate and monitor for model health, accuracy, drift, bias and gen AI quality.
- Access powerful governance, risk and compliance capabilities featuring workflows with approvals, customizable dashboards, risk scorecards and reports.
- Use factsheet capabilities to collect and document model metadata automatically across the AI model lifecycle.
The value of building responsible AI spans across several key areas:
Compliance - manage AI to meet upcoming safety and transparency regulations and policies, including the EU AI Act, worldwide—a nutrition label for AI.
Risk management - detect and mitigate risks proactively while monitoring fairness, bias, drift and new LLM metrics.
Lifecycle governance - manage, monitor and govern AI models from IBM, open-source communities and other model providers.
Watsonx.governance can be configured to meet the needs of your organization across relevant use cases. For example, in customer care you can monitor chats for red flags regarding toxicity, personal information or off-topic conversations and alerts when responses are outside of social norms. You can also support business process outsourcing activities across finance, human resources and procurement with dashboards and customizable workflows.
Explore IBM watsonx.governance and read case studies of where it is in action today HERE.
For any questions or requests contact your IBM Representative today.
