Smart Cloud Enabled Computing Frameworks for Enterprise Analytics Security and Automation
DOI:
https://doi.org/10.15680/IJCTECE.2024.0704017Keywords:
Smart cloud computing, enterprise analytics, cloud security, automation frameworks, artificial intelligence, enterprise automation, hybrid cloud architecture, cybersecurity, data analytics, distributed computing, machine learning, cloud orchestration, intelligent enterprise systemsAbstract
Smart cloud-enabled computing frameworks have emerged as a transformative solution for modern enterprises seeking scalable, secure, and intelligent digital infrastructures. The increasing adoption of enterprise analytics, automation technologies, and distributed computing environments has created the need for advanced cloud architectures capable of handling massive datasets, real-time processing, and cybersecurity challenges. This study explores the integration of cloud computing frameworks with enterprise analytics, security mechanisms, and automation tools to improve organizational efficiency, operational agility, and decision-making processes. The research investigates how technologies such as artificial intelligence, machine learning, Internet of Things integration, edge computing, and automated orchestration contribute to secure enterprise ecosystems. The paper further analyzes the role of smart cloud frameworks in enhancing data protection, minimizing operational risks, and supporting predictive analytics for strategic planning. A detailed literature review highlights recent advancements, architectural models, and industrial implementations in cloud-enabled enterprise systems. The proposed methodology emphasizes a hybrid intelligent cloud framework that integrates automation, security governance, and analytics optimization. The study identifies both the benefits and limitations of smart cloud infrastructures in enterprise environments. The findings demonstrate that cloud-enabled intelligent frameworks significantly improve scalability, security management, resource optimization, and automation efficiency while addressing emerging cybersecurity and compliance challenges in enterprise computing environments.
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