AI and Automation in Capacity Planning: Predicting and Managing Cloud Resource Demands
DOI:
https://doi.org/10.32628/CSEIT25112420Keywords:
Artificial Intelligence, Cloud Computing, Edge Processing, Machine Learning, Resource OptimizationAbstract
This article examines the transformative impact of Artificial Intelligence and automation on cloud capacity planning. It delves into how AI-driven systems revolutionize resource allocation, enabling organizations to optimize their infrastructure through predictive analytics and dynamic scaling. The article explores various aspects including machine learning models, automated scaling mechanisms, implementation challenges, and business benefits. By analyzing the evolution from traditional methods to AI-powered solutions, it demonstrates how organizations can achieve enhanced resource utilization, improved performance reliability, and significant cost optimization. The integration of edge computing and advanced AI capabilities emerges as crucial factors in shaping the future of cloud resource management, offering insights into upcoming trends and innovations in the field.
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