Navigating Data Governance Challenges

This chapter delves into the slow evolution of data governance in critical sectors like banking and healthcare, emphasizing the roles of disruptors, optimizers, and keepers in facilitating change. It highlights the importance of understanding human behavior in AI implementation, the tension between consensus and decisive action, and the need for a culture shift in viewing data as a service. The discussion also critiques the prevailing negativity within organizations, urging a focus on customer-centric practices to enhance data utilization and engagement.