AI is changing the conversation from where data resides to how organizations govern, control, and trust it.

This guidebook explores why data governance is becoming a strategic priority for organizations adopting AI. Learn how leaders are strengthening visibility into regulated data, improving governance across hybrid environments, and establishing the controls needed to confidently use data for AI while maintaining compliance and trust.
What you'll find in this guidebook:

• Why AI, hybrid environments, and distributed data ecosystems are changing how organizations think about governance and control. 
• Data dependencies that can limit visibility, compliance confidence, and authority over sensitive information.
• Key capabilities organizations are using to strengthen data classification, lineage, residency, and governance.
• Practical guidance for identifying governance gaps and reducing risk before data reaches AI systems.
• Steps for building an AI-ready data foundation that can adapt as regulatory requirements, technologies, and business needs evolve.