Next-Generation Enterprise Engineering through Artificial Intelligence Integrated Cloud Automation and Predictive Cyber Resilience
DOI:
https://doi.org/10.21590/Keywords:
Artificial Intelligence, Enterprise Engineering, Cloud Automation, Predictive Cyber Resilience, Digital Transformation, Machine Learning, Cybersecurity, Cloud Computing, Intelligent Automation, Industry 5.0, Enterprise Architecture, Predictive AnalyticsAbstract
The rapid evolution of digital technologies has transformed enterprise engineering into a strategic discipline that integrates intelligent automation, cloud computing, and cyber resilience to improve organizational performance and sustainability. Artificial Intelligence (AI) has emerged as a fundamental technology for enabling intelligent decision-making, predictive analytics, process optimization, and autonomous system management. Simultaneously, cloud automation has revolutionized enterprise infrastructure by providing scalable, flexible, and cost-effective computing environments that support dynamic business operations. Predictive cyber resilience complements these technologies by employing machine learning algorithms, behavioral analytics, and real-time threat intelligence to anticipate, detect, and mitigate cyber threats before they disrupt critical business services. This integrated approach enhances operational efficiency, strengthens cybersecurity, minimizes downtime, and supports continuous innovation across enterprise ecosystems. Organizations adopting AI-integrated cloud automation with predictive cyber resilience benefit from automated workflows, intelligent resource allocation, proactive risk management, and improved compliance with evolving regulatory requirements. Furthermore, these technologies facilitate digital transformation by enabling data-driven decision-making, adaptive infrastructure management, and resilient enterprise architectures capable of responding to rapidly changing market demands. This study explores the convergence of Artificial Intelligence, cloud automation, and predictive cyber resilience within next-generation enterprise engineering. It examines their technological foundations, implementation strategies, benefits, and challenges while proposing an integrated framework that supports secure, intelligent, and sustainable enterprise operations in the era of Industry 5.0 and digital transformation.
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