Converging Intelligent Cloud Computing with Enterprise Platforms and Artificial Intelligence Using Predictive Analytics
DOI:
https://doi.org/10.15680/IJCTECE.2025.0806039Keywords:
Intelligent Cloud Computing, Secure Enterprise Platforms, Predictive Analytics, AI Innovation, Zero-Trust Architecture, Proactive Cyber DefenseAbstract
The rapid evolution of corporate digital infrastructure requires a structural convergence between scalable computing, hardened corporate defenses, and predictive analytics. This paper details a unified framework for converging Intelligent Cloud Computing with Secure Enterprise Platforms and Artificial Intelligence Innovation Using Predictive Analytics. Traditional corporate architectures frequently treat data analysis, security infrastructure, and cloud storage as isolated, independent systems. This structural fragmentation introduces significant processing delays and exposes enterprises to sophisticated cyber threats. By embedding advanced predictive analytics engines directly into the core virtualization and security layers of intelligent cloud infrastructures, this framework transforms enterprise systems from defensive repositories into proactive intelligence engines. The architecture utilizes machine learning models to forecast operational bottlenecks, anticipate sophisticated cyber attacks before they penetrate the perimeter, and optimize cloud resource distribution in real time. Through an integration of zero-trust verification frameworks, automated predictive models, and high-throughput data processing networks, this study outlines how large organizations can achieve continuous operational resilience. Ultimately, this research provides a definitive blueprint for enterprise architects and chief information officers looking to minimize structural complexity, eliminate operational vulnerabilities, and drive sustainable corporate innovation using predictive data insights.
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