Evolve your AI governance maturity

Organizations need effective AI governance to manage risk while driving innovation. However, traditional governance approaches rarely address the complexity, speed, and scale required for modern AI initiatives.

To bridge this gap, Domino Data Lab’s comprehensive AI Lifecycle Governance Maturity Model aligns governance with the practical needs of AI development and deployment. This model organizes governance capabilities into five critical stages with specific tasks essential for minimizing risk, ensuring compliance, and accelerating AI-driven innovation.

Read this white paper and you’ll learn how to effectively:

• Plan: Assess and scope projects and establish policies
• Access: Grant and manage permissions
• Observe: Monitor risks and performance
• Control: Manage risks, apply policies, and remediate issues
• Deliver: Meet requirements before production