AI Data Strategy and Governance — Part III

A Practical Enterprise Framework for Building Trusted, Secure, and Responsible AI — Enterprise Data and AI Governance

Part III continues the enterprise framework where Parts I and II leave off: from data foundations into the governance, security, ethics, and risk machinery that makes AI defensible in front of a regulator or a board.

Five chapters cover the operating layer — governance bodies and decision rights, data security and privacy, ethical use, AI governance itself, and AI risk management as a repeatable discipline rather than a one-off review.

Inside the book

Chapter 10 — Enterprise Data Governance
Chapter 11 — Enterprise Data Security and Privacy
Chapter 12 — Data Ethics and Responsible Data Use
Chapter 13 — Enterprise AI Governance
Chapter 14 — Enterprise AI Risk Management

Written for

Data governance leadsAI risk and compliance teamsPrivacy and security officersChief Data and AI Officers