Data Governance in the Era of AI People, Processes, and Tools to Operationalize Data Trustworthiness for Humans and Agents

Data and AI can help organizations move faster, but speed without trust creates costly risk. As AI agents begin interpreting data, making recommendations, and taking action, traditional governance models are no longer enough. Data Governance in the Era of AI, second edition, offers a practical framework for keeping data trustworthy, secure, and ready for both human and agentic use. It shows leaders how governance can enable innovation rather than stand in its way.

This fully updated guide brings together people, processes, policies, and tools across the full data lifecycle. Readers will explore AI-ready data, vector database governance, automated traceability, privacy-enhancing technologies, and human-in-the-loop oversight. The book connects compliance and risk management with operational efficiency, customer trust, and new business value. It's a timely reference for governing not only the data AI consumes, but the actions intelligent systems take.

• Prepare enterprise data for reliable AI use
• Govern agents across the data lifecycle
• Establish clear human oversight
• Strengthen privacy, security, and traceability
• Scale governance without limiting innovation