AI Driven Intelligent Enterprise Systems for Secure Scalable and Resilient Digital Transformation
Abstract
Artificial Intelligence (AI) has emerged as a transformative force in modern enterprises, enabling organizations to achieve secure, scalable, and resilient digital transformation. As businesses increasingly operate in highly dynamic and data-intensive environments, traditional enterprise systems face challenges related to operational efficiency, cybersecurity threats, infrastructure scalability, and business continuity. AI-driven intelligent enterprise systems address these challenges by integrating machine learning, predictive analytics, automation, natural language processing, and intelligent decision-making capabilities into organizational processes. These systems enhance operational agility, improve customer engagement, optimize resource utilization, and strengthen security frameworks through proactive threat detection and response mechanisms. Furthermore, cloud computing, big data analytics, Internet of Things (IoT), and edge computing technologies complement AI-driven architectures, creating interconnected digital ecosystems capable of adapting to evolving market demands. This study explores the role of AI-driven intelligent enterprise systems in facilitating secure, scalable, and resilient digital transformation. The research examines existing literature, identifies technological enablers, and proposes a comprehensive methodology for implementing AI-enabled enterprise frameworks. Particular emphasis is placed on cybersecurity resilience, cloud-based scalability, intelligent automation, governance structures, and data-driven innovation. The findings suggest that organizations adopting AI-centric enterprise systems achieve improved operational performance, enhanced security posture, greater adaptability, and long-term competitive advantages. The study contributes to the growing body of knowledge regarding intelligent enterprise architectures and provides strategic insights for organizations seeking sustainable digital transformation in an increasingly complex technological landscape
Article Information
Journal |
International Journal of Emerging Trends in Engineering and Management Research |
|---|---|
Volume (Issue) |
Vol. 10 No. 5 (2025): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) |
DOI |
|
Pages |
18641-18650 |
Published |
October 10, 2025 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Laurence Liew (%2025). AI Driven Intelligent Enterprise Systems for Secure Scalable and Resilient Digital Transformation. International Journal of Emerging Trends in Engineering and Management Research , Vol. 10 No. 5 (2025): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) , pp. 18641-18650. https://doi.org/10.15662/ijetemr.2025.1005002 |
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