AI governance
An AI governance platform to drive responsible, transparent and explainable artificial intelligence workflows
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AI visibility Drive AI visibility for stakeholders Dynamic and customizable dashboards provide real-time model status and facilitate stakeholder collaboration for decision-making. Try it now

Enterprise AI monitoring 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. Try it now

Manage risk and regulation 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. Try it now
Benefits of AI governance Operationalize AI governance

Trace and document the origin of datasets, models, associated metadata and pipelines at scale.

Manage risk with responsible AI

Monitor AI models for fairness, bias and drift that automatically identify the need for correction.

Protect against regulations at scale

Use protections and validation to ensure machine learning (ML) models in production are fair, transparent and explainable.

Satisfy ever-increasing stakeholders

Use automated and collaborative tools to shorten processes and increase AI lifecycle visibility.

Optimize AI strategy and planning

Increase efficiency and create balance across people, processes and AI technologies.

Capabilities Lifecycle governance

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

Risk management

Automate, identify, monitor and report on facts and workflows at scale, mitigating bias and drift to manage AI risk.

Regulatory compliance

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

AI governance case studies

Learn how IBM customers are using AI governance to create innovative solutions.

Innocens BV

Innocens BV uses predictive AI practices to protect the most vulnerable newborns.

Change Machine

Change Machine builds financial security in low-income communities using AI solutions.

News and events IBM Cloud Pak for Data Express

IBM Cloud Pak for Data Express is a set of three pre-built, pre-sized offerings designed to address problems in cataloging, analyzing and integrating data. Check out the low-cost options for data fabric use cases.

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IBM Cloud Pak for Data 4.7 now available

IBM Cloud Pak for Data version 4.7 helps you get the most out of your data.

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IBM acquires

IBM Cloud Pak for Data version 4.6 helps you get the most out of your data.

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Scale your enterprise AI capabilities

Explore how to operationalize AI across an organization in the latest Data Differentiator chapter.

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AI governance overview

Discover how AI governance helps organizations build explainable, transparent and trusted AI.

Your organization needs responsible AI

Understand three key steps to driving driving explainable, transparent and responsible AI.

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 principles in AI.

Deployment options

Choose the solution that best suits your needs.

AI Governance on IBM Cloud Pak for Data as a Service

Start building your data fabric architecture in the cloud.

AI Governance Express on IBM Cloud Pak for Data Software

Accelerate the data fabric architecture for on-premises customers with our express solutions.

Take the next step

Get started with a free trial of IBM Cloud Pak for Data or book a consultation with an IBM expert to discuss how it can advance your specific business needs.

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