Data Makes the World Go 'Round

Chapter 19Data Governance—Building Trust for AI

In this chapter, we will examine the following:

• The new data governance environment
• Data governance—not just a compliance task
• Key regulatory requirements
• Data governance frameworks
• Modernizing data governance—tools
• Modernizing data governance—organizational structures
• Cross-platform data governance
• Moving forward with data governance

The best data foundations and architectures are only as strong as the trust users have in the data that flows through them. Governance, if done well, creates that trust. It ensures that data are accurate, traceable, protected, and aligned with the organization’s purpose and values. It drives confidence in decisions and AI applications. This chapter focuses on data governance, how it changes with AI, and provides insights into how some organizations are doing it well.

For leaders, data governance is not only about compliance or control; it is about trust and competitiveness. Organizations that govern their data effectively can innovate with confidence, accelerate AI adoption, and respond faster to regulatory change. Good governance builds the transparency and reliability that make data usable at scale. It is the system of accountability that keeps data-driven organizations both agile and responsible.

The New Data Governance Environment

Throughout this book, we’ve seen that the data environment that AI requires continues to evolve. The modern data environment includes structured data as well as ...