AI-Driven Cloud Cost Optimization for Small and Medium Enterprises (SMEs)

Authors

  • Sai Dikshit Pasham University of Illinois, Springfield, UNITED STATES

Keywords:

AI-driven cost optimization, Cloud cost management, SMEs cloud computing, Cloud cost efficiency, AI-powered cloud solutions, Cloud resource allocation, Cloud cost-saving strategies, Predictive analytics for cloud costs, Cloud cost challenges for SMEs, Automated resource scaling

Abstract

Small and Medium Enterprises (SMEs) increasingly rely on cloud computing to drive innovation, scalability, and operational efficiency. However, managing cloud costs effectively remains a significant challenge, often leading to resource wastage and budget constraints. This article explores how Artificial Intelligence (AI) is revolutionizing cloud cost optimization for SMEs, offering advanced capabilities such as predictive analytics, automated resource scaling, and real-time anomaly detection. By leveraging AI-driven solutions, SMEs can achieve significant cost savings, enhance decision-making, and ensure efficient resource utilization. The discussion also addresses implementation strategies, potential challenges, and future trends in AI-powered cloud cost management, providing SMEs with a roadmap to harness the full potential of AI for sustainable growth.

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Published

2017-02-13