Premium Insight

State of the Art of Data Governance for a AI Factory organisation

Published: Nov 2024

Abstract:
Data Governance has emerged as a pivotal element in modern organizations, transforming data from a mere operational asset to a strategic cornerstone. This whitepaper offers a comprehensive analysis of Data Governance, tracing its historical evolution across multiple industries, including banking, healthcare, and telecommunications. It highlights the significant influence of diverse regulatory frameworks, notably GDPR, in shaping contemporary Data Governance standards. The discussion extends to the current state of Data Governance, emphasizing the disparity between theoretical frameworks and practical implementations, and addressing the challenges posed by legacy systems and technical debt. A critical examination of Data Governance’s impact on the AI “industry” is provided, presenting a balanced view that acknowledges both its contributions to AI reliability, ethics, and performance, and the inherent challenges in governing evolving AI systems. The whitepaper incorporates empirical evidence and real-world case studies to substantiate its claims, offering insights into successful and failed Data Governance initiatives. Furthermore, the expertise of the ORBii community is showcased, demonstrating how specialized firms facilitate effective Data Governance implementation through customized solutions, expert teams, and continuous support. The whitepaper concludes by exploring ongoing challenges, stakeholder dynamics, and future directions, including enhanced AI integration, blockchain for data integrity, and real- time governance, providing a roadmap for organizations to harness their data assets effectively in an increasingly data-driven Landscape.