Year: 2025
Type: article
Abstract: This article examines the emergence of AI-driven data governance as a transformative approach for enterprises adopting cloud-native Business Intelligence and data engineering architectures. As organizations navigate the complexities of multi-cloud and hybrid environments, traditional governance models prove insufficient for managing the scale, velocity, and variety of modern enterprise data. Artificial intelligence and machine learning technologies enable automated policy enforcement, enhance compliance monitoring, and strengthen security protocols in real-time. Implementation strategies across various industries demonstrate how AI-driven governance frameworks can integrate with existing cloud infrastructure while maintaining alignment with regulatory requirements such as GDPR, CCPA, HIPAA, and SOC 2. The insights provided contribute to the evolving discourse on intelligent data governance and offer actionable guidance for organizations seeking to modernize their governance practices in increasingly complex data ecosystems.
Author: Muruganantham Angamuthu
Language: English
Subfield: Law
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4410516870