AI-driven data governance for multi-cloud environments

This document investigates how Artificial Intelligence (AI) helps reinforce data governance across multiple cloud settings. Organizational adoption of multi-cloud platforms leads to mounting difficulties for proper data management across various platforms. AI technology provides innovative solutions that help organizations solve issues about data-scattering compliance risks and security vulnerabilities. The research investigated data governance optimization through AI automation using a combination of case studies with industry experts' data analytics and systematic interviews. The study demonstrates that AI technology enhances data classifications, enables better access control management and monitoring functions, and covers regulatory compliance demands. AI implementation grants organizations reduced personnel requirements in governance work while improving data protection and real-time segmentation between cloud platforms. System management through essential staffing and complex integration requirements constitute the primary hurdles for AI systems in cloud platforms. Organizations need to solve particular challenges for their AI-based multi-cloud data governance systems to reach full benefits that enable both intelligent and scalable data management.

Authors

Publication Details

Journal
International Journal of Science and Research Archive
Published
2025-05-20
DOI
https://doi.org/10.30574/ijsra.2025.15.2.1284
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
3.25
Controls
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article

AI-driven data governance for multi-cloud environments

K. S. Shaik
1 citations
International Journal of Science and Research Archive
Cloud Computing and Resource Management
3.25
article

AI-driven data governance for multi-cloud environments

K. S. Shaik
article en
1 citations

Abstract

This document investigates how Artificial Intelligence (AI) helps reinforce data governance across multiple cloud settings. Organizational adoption of multi-cloud platforms leads to mounting difficulties for proper data management across various platforms. AI technology provides innovative solutions that help organizations solve issues about data-scattering compliance risks and security vulnerabilities. The research investigated data governance optimization through AI automation using a combination of case studies with industry experts' data analytics and systematic interviews. The study demonstrates that AI technology enhances data classifications, enables better access control management and monitoring functions, and covers regulatory compliance demands. AI implementation grants organizations reduced personnel requirements in governance work while improving data protection and real-time segmentation between cloud platforms. System management through essential staffing and complex integration requirements constitute the primary hurdles for AI systems in cloud platforms. Organizations need to solve particular challenges for their AI-based multi-cloud data governance systems to reach full benefits that enable both intelligent and scalable data management.

International Journal of Science and Research ArchiveVol. 15(2)
Openalex Percentile: Top 9%
Cloud Computing and Resource Management
3.25
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