Generative AI Enabled Enterprise Systems with Autonomous Operations and Cloud-Native Architectures
DOI:
https://doi.org/10.15680/IJCTECE.2024.0704001Keywords:
Generative AI, Enterprise Systems, Autonomous Operations, Cloud-Native Architecture, Artificial Intelligence, Machine Learning, Large Language Models, Intelligent Automation, Digital Transformation, Microservices, Containers, DevOps, AIOps, Business Process Automation, Enterprise ComputingAbstract
Generative Artificial Intelligence (Generative AI) is transforming enterprise systems by enabling intelligent automation, autonomous decision-making, predictive operations, and adaptive business processes. Modern organizations increasingly adopt cloud-native architectures to support scalable, resilient, and agile digital infrastructures capable of integrating advanced AI capabilities. The convergence of Generative AI, autonomous operations, and cloud-native technologies creates a new paradigm for enterprise computing in which systems can learn from data, generate insights, automate workflows, and continuously optimize operational performance with minimal human intervention. These intelligent enterprise ecosystems leverage technologies such as large language models, machine learning pipelines, microservices, containers, orchestration platforms, and event-driven architectures to deliver enhanced business value. Autonomous operations reduce operational complexity by enabling self-monitoring, self-healing, self-scaling, and self-optimizing capabilities across enterprise environments. Cloud-native architectures provide the flexibility and computational resources required for deploying and managing AI workloads efficiently. This essay examines the integration of Generative AI within enterprise systems, explores the role of autonomous operations, analyzes cloud-native architectural foundations, reviews existing literature, and presents a comprehensive research methodology for studying these emerging technologies. The discussion highlights opportunities, challenges, implementation strategies, governance considerations, and future directions for organizations seeking sustainable competitive advantages through intelligent, autonomous, and cloud-enabled enterprise ecosystems
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