Abstract

In the era of rapid digital transformation, data governance has emerged as a cornerstone for ensuring the integrity, accessibility, and security of data assets. This presentation highlights the transformative role of Artificial Intelligence (AI) in enabling robust data governance across all dimensions of the DAMA wheel. By leveraging AI's capabilities, organizations can streamline data management processes, enhance decision-making, and ensure compliance with regulatory standards.
The discussion will focus on how AI supports various facets of the DAMA wheel, including data quality, metadata management, data security, analytics, and more. Practical examples from the Monetary and Economic Department will demonstrate these concepts, such as the AI Mapper, , and AI-powered search tools, which improve the accessibility of vast datasets. These applications show how AI can tackle challenges like data silos, inconsistencies, and inefficiencies, fostering a culture of data-driven innovation.
Particular attention will be given to how consistency in data governance, enabled by AI tools, improves the quality and reliability of analysis. For example, the AI-assisted search in the portal ensures analysts can quickly and efficiently locate accurate, relevant, and up-to-date datasets. This reduces the risk of errors, ensures uniformity in insights, and strengthens trust in the analytical processes across the organization.
The presentation will also explore the broader implications of AI-driven data governance, including improved operational efficiency, enhanced collaboration across teams, and better alignment with organizational goals. Attendees will gain insights into best practices, real-world use cases, and the future potential of AI in shaping data governance strategies that are resilient, adaptive, and forward-looking.
Join us to learn how AI is revolutionizing data governance, ensuring consistency, and unlocking new opportunities for organizations navigating the complexities of the data-driven world.