We’re excited to announce the release of IBM Cloud Pak for Data version 4.6

How it’s used

AI visibility

Dashboard displaying information from a data analysis of a mortgage application

Drive AI visibility for stakeholders

Dynamic and customizable dashboards provide real-time model status and facilitate stakeholder collaboration.

Enterprise AI monitoring

Dashboard displaying the mortgage approval catalog

Monitor AI activities enterprise-wide

Trace and document the origin of models, the techniques used to train them, and any associated metadata needed for audits.

Manage risk and regulation

Dashboard displaying a conceptual map about Loan Automation use case

Simplify risk and regulation management

Use a unified and automated GRC platform that runs on any cloud and is designed to identify, manage, monitor, and report on risk and regulatory compliance.

Benefits of AI governance

IBM AI Governance is a one stop solution for transparent, explainable AI workflows.

Capabilities of AI governance

Lifecycle governance

Catalog and monitor AI models with metadata capture, success identification, and the ability to determine remediation needs.

Risk management

Automate, identify, monitor and report on facts and workflows at scale, mitigating bias and drift.

Regulatory compliance

Translate external AI regulations into policies for automated enforcement. Use customizable dashboards to improve stakeholder collaboration.

Get the trial at no cost

Automate AI governance.

Resources

AI Governance: Break open the black box

Learn how AI delivers insights, amplifies human capabilities, decreases risk, and increases ROI.

Explainable AI on IBM Cloud Pak for Data

Learn how to break down barriers to enterprise AI. 

IBM Global AI Adoption Index 2022

Review insights into overall global AI adoption as well as upcoming trends and challenges.

AI ethics in action

See how organizations can distinguish themselves with a strategic approach to ethical issues in AI.