Scalable Intelligent Cloud Platforms Enabled by AI for Secure Autonomous and Future Ready Enterprise Systems
DOI:
https://doi.org/10.21590/Keywords:
Intelligent cloud platforms, Artificial intelligence, Enterprise systems, Cloud-native architecture, Autonomous systems, Scalability, Cybersecurity, Machine learning, Future-ready systems, Distributed computingAbstract
The growing demand for digital transformation has led enterprises to adopt intelligent cloud platforms that integrate artificial intelligence (AI) to achieve scalability, security, and autonomy. This paper explores the development of scalable intelligent cloud platforms designed to support secure, autonomous, and future-ready enterprise systems. By leveraging cloud-native technologies such as microservices, containerization, and orchestration, these platforms enable dynamic scalability and efficient resource utilization. AI techniques, including machine learning, deep learning, and reinforcement learning, empower systems to operate autonomously by enabling predictive analytics, anomaly detection, and automated decision-making. Security is enhanced through AI-driven threat detection, encryption mechanisms, and zero-trust architectures, ensuring data integrity and privacy. Furthermore, these platforms incorporate self-optimization capabilities that allow continuous monitoring and automatic adjustment of system performance. The study examines architectural frameworks, enabling technologies, and implementation strategies while addressing challenges such as interoperability, governance, and system complexity. The proposed approach demonstrates how intelligent cloud platforms can transform enterprise systems into adaptive, resilient, and future-ready infrastructures. This research contributes to the advancement of enterprise computing by presenting a unified model that integrates AI and cloud technologies to support next-generation digital enterprises.
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