DDS-8590

Eryurek, E., Gilad, U., Lakshmanan, V., Kibunguchy-Grant, A., & Ashdown, J. (2021). Data governance: The definitive guide. O'Reilly Media. https://go.oreilly.com/nationaluniversity/https://learning.oreilly.com/library/view/data-governance-the/9781492063483/?sso_link=yes&sso_link_from=nationaluniversity

Read Chapters 7, 8, and 9. These chapters explore governance roles, communication strategies, and how to drive adoption of governance policies across an organization.

Batchelder, W. S. (2024). Data governance handbook: A practical approach to building trust in data. Packt Publishing. https://go.oreilly.com/nationaluniversity/https://learning.oreilly.com/library/view/data-governance-handbook/9781803240725/?sso_link=yes&sso_link_from=nationaluniversity

Read Chapter 16. This chapter focuses on emerging trends in data governance and how to future-proof governance practices in a dynamic data environment.

Santos, O., & Radanliev, P. (2024). Beyond the algorithm: AI, security, privacy, and ethics. Addison-Wesley Professional. https://go.oreilly.com/nationaluniversity/https://learning.oreilly.com/library/view/beyond-the-algorithm/9780138268442/?sso_link=yes&sso_link_from=nationaluniversity

Read Chapter 7. This chapter examines the intersection of AI governance and ethical considerations, particularly in the context of responsible data usage and regulatory compliance.

Santos, O., & Radanliev, P. (2024). Beyond the algorithm: AI, security, privacy, and ethics. Addison-Wesley Professional. https://go.oreilly.com/nationaluniversity/https://learning.oreilly.com/library/view/beyond-the-algorithm/9780138268442/?sso_link=yes&sso_link_from=nationaluniversity

Read Chapter 8. This chapter addresses the practical challenges of implementing ethical AI, with a focus on real-time decision-making, transparency, and the role of human oversight.