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Empowering Secure Enterprise Digital Transformation using Artificial Intelligence for Predictive Analytics in Cloud Computing

Dr. S. Jagadeesh Soundappan

Independent Researcher, USA

Abstract

Enterprise digital transformation has become a strategic priority for organizations seeking to improve operational efficiency, enhance customer experiences, and maintain competitive advantage in an increasingly digital economy. Cloud computing serves as the foundation of this transformation by offering scalable infrastructure, flexible services, and cost-effective resource management. However, the migration of enterprise applications and sensitive business data to cloud environments has introduced significant security, privacy, and compliance challenges. Artificial Intelligence (AI) has emerged as a transformative technology that enables predictive analytics to strengthen enterprise cloud security while supporting informed decision-making and operational resilience. AI-driven predictive analytics processes large volumes of structured and unstructured data to identify patterns, forecast potential security threats, detect anomalies, optimize resource allocation, and anticipate system failures before they occur. This proactive approach enhances risk management by enabling organizations to implement preventive security measures instead of relying solely on reactive incident response. Furthermore, AI supports automated threat detection, continuous monitoring, intelligent access control, and adaptive cybersecurity strategies across cloud infrastructures. The integration of AI-based predictive analytics with cloud computing also improves business continuity, regulatory compliance, and strategic planning by providing real-time insights into operational and security risks. This study examines the role of artificial intelligence in empowering secure enterprise digital transformation through predictive analytics in cloud computing, reviews existing literature, and presents a qualitative research methodology for analyzing current developments, challenges, opportunities, and future directions in this rapidly evolving technological domain

Article Information

Journal

International Journal of Emerging Trends in Engineering and Management Research

Volume (Issue)

Vol. 8 No. 5 (2023): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR)

DOI

https://doi.org/10.15662/ijetemr.2023.0805005

Pages

14363-14373

Published

September 13, 2023
Copyright

Open Access

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Dr. S. Jagadeesh Soundappan (%2023). Empowering Secure Enterprise Digital Transformation using Artificial Intelligence for Predictive Analytics in Cloud Computing. International Journal of Emerging Trends in Engineering and Management Research , Vol. 8 No. 5 (2023): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) , pp. 14363-14373. https://doi.org/10.15662/ijetemr.2023.0805005

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