AI-Enabled Cloud Cost Management Platforms: Automating Cost Reports, Alerts, and Optimization Recommendation

Authors

  • Praveen Chaitanya Jakku Individual Researcher/DevOps Engineer Author

DOI:

https://doi.org/10.63412/47vq8161

Keywords:

AI-based Cloud Cost Management, Cloud Computing, Cost Optimization, Automation, Real-time Monitoring, Anomaly Detection, Optimization Recommendations, Machine Learning Algorithms, Cost Reporting Automation, Predictive Analysis, Cross-cloud Optimization, Security Compliance Monitoring, Cost-cutting Tactics, Financial Projections, Operational Effectiveness, Budget Overruns, Hybrid Cloud, Multi-cloud Environments, Intelligent Cost Allocation, Workload Optimization

Abstract

Cloud computing today is an essential component of modern business, yet its escalating price tag is a significant issue facing organizations. AI-based cloud cost management tools are transforming the way businesses track, optimize, and control their cloud expenses. By leveraging automation, real-time monitoring, anomaly detection, and optimization recommendations, AI-based solutions provide cost-cutting tactics, improve financial projections, and optimize operational effectiveness. These tools utilize machine learning algorithms to track expenses, flag anomalies, and make actionable suggestions to prevent budget overruns. This article explores the various aspects of AI-driven cloud cost management, including cost reporting automation, predictive analysis, cross-cloud optimization, and security compliance monitoring.

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Published

2025-03-29

How to Cite

[1]
P. C. Jakku, “AI-Enabled Cloud Cost Management Platforms: Automating Cost Reports, Alerts, and Optimization Recommendation”, IJGIS, vol. 2, no. 1, Mar. 2025, doi: 10.63412/47vq8161.