Resilient Enterprise Cloud Systems Leveraging AI for Secure Adaptive and High Performance Digital Transformation
DOI:
https://doi.org/10.15662/IJEETR.2025.0705013Keywords:
Enterprise cloud systems, Artificial intelligence, Digital transformation, Resilience, Cloud security, Adaptive systems, High performance computing, Microservices, Predictive analytics, Automation, Distributed systemsAbstract
The accelerating pace of digital transformation has compelled enterprises to adopt cloud-based infrastructures that are not only scalable but also resilient, secure, and high-performing. This paper explores the integration of Artificial Intelligence (AI) into enterprise cloud systems to enhance resilience, adaptability, and operational efficiency. Resilience in cloud systems refers to the ability to withstand, recover from, and adapt to disruptions, including cyber threats, system failures, and fluctuating workloads. AI technologies, including machine learning and predictive analytics, enable proactive monitoring, anomaly detection, and automated decision-making, thereby strengthening system robustness. The study examines how AI-driven cloud architectures can dynamically optimize performance, ensure data security, and support adaptive resource management. It also highlights architectural models such as microservices and containerization that facilitate modularity and scalability. Additionally, the paper addresses key challenges such as data privacy, system complexity, and integration barriers. A comprehensive research methodology is proposed to guide the development and deployment of resilient enterprise cloud systems. The findings indicate that AI-enhanced cloud infrastructures significantly improve system reliability, reduce downtime, and support continuous innovation. However, careful planning and governance are essential to mitigate risks and ensure sustainable digital transformation.
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