Automated cost optimization for cloud infrastructure with generative AI: A technical deep dive
Year: 2025
Type: article
Abstract: Automated Cost Optimization for Cloud Infrastructure powered by Generative AI represents a transformative approach to managing and optimizing cloud expenses. This comprehensive article examines how artificial intelligence and machine learning technologies are revolutionizing cloud cost management through automated analysis, prediction, and optimization. The article investigates the challenges organizations face in cloud cost management and demonstrates how AI-driven solutions provide enhanced visibility, improved resource utilization, and automated optimization capabilities. Through analysis of implementation strategies, best practices, and real-world case studies, this article illustrates the effectiveness of AI-powered approaches in achieving sustainable cost optimization while maintaining performance and compliance requirements. The article also explores the integration of FinOps practices, the impact of multi-cloud environments, and the role of automated decision-making in cloud resource management.
Author: Vijayakumar Jayaseelan
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409418767