AUTONOMOUS DATA GOVERNANCE: AI-ENABLED COMPLIANCE FOR GLOBAL DATA ECOSYSTEMS by Sandeep Kumar Dasa

In an era where data is the lifeblood of digital transformation, ensuring its governance, security, and compliance has become a paramount concern. Organizations worldwide are grappling with the complexities of managing vast amounts of data while adhering to stringent regulatory frameworks. Traditional approaches to data governance often fall short, being labor-intensive, error-prone, and incapable of keeping pace with the evolving regulatory landscape. The advent of Artificial Intelligence (AI) offers a revolutionary shift—ushering in an era of Autonomous Data Governance that seamlessly integrates compliance, security, and operational efficiency.

This book, Autonomous Data Governance: AI-Enabled Compliance for Global Data Ecosystems, delves into the transformative role of AI-driven automation in data governance. It explores how AI can be leveraged to ensure regulatory compliance, mitigate risks, and enhance decision-making processes in real time. By automating critical aspects of data stewardship, organizations can reduce human intervention while ensuring accuracy, transparency, and accountability in data management.

Throughout this book, we will examine the foundations of data governance, the challenges of compliance in a globalized digital economy, and the cutting-edge AI methodologies that can drive autonomous governance. Key topics covered include:

·         The evolution of data governance and the regulatory landscape

·         AI techniques for automated data classification, policy enforcement, and anomaly detection

·         Ethical and legal considerations in AI-driven governance

·         Case studies showcasing real-world implementations of autonomous data governance frameworks

·         Future trends and the role of AI in shaping the next generation of compliance models

The insights provided in this book are designed for data professionals, AI researchers, compliance officers, and business leaders who seek to harness AI for more efficient and reliable data governance. By blending theoretical insights with practical applications, this book aims to equip readers with the knowledge needed to navigate the complexities of modern data ecosystems.

I extend my gratitude to all researchers, industry professionals, and pioneers who have contributed to the advancement of AI in data governance. It is my hope that this book will inspire new discussions, innovations, and solutions in the field of autonomous compliance.

Let us embark on this journey toward a future where AI not only enhances data governance but revolutionizes the way we manage and protect information in an interconnected world.