Data Governance Challenges in AI-Driven Cloud Systems

Abstract

The intersection of artificial intelligence (AI) and cloud computing has transformed the way organizations process, manage, and analyze data. While the adoption of AI within cloud systems has also brought about enormous challenges regarding data governance, these involve aspects of data privacy, security, compliance, and ethical use of AI.

This manuscript delves into the intricacies of data governance in AI-powered cloud systems based on existing literature, practices, and real-world implementations. Through the identification of major challenges and suggesting potential solutions, this research seeks to offer insights on how to have sound governance frameworks to ensure regulatory compliance, data integrity, and ethical AI usage.