Innovations in Cloud Data Engineering for Automated Financial Analytics and Intelligent Cost Optimization

Authors

  • Ramakrishna Taluri

Keywords:

Cloud Financial Analytics, Automated Cost Optimization, Machine Learning Forecasting, Real-Time Expenditure Monitoring, Intelligent Data Engineering

Abstract

The speed of the cloud infrastructure growth has required an essential shift in financial analytics to gobeyond the standard reporting to the systems that are smart and automated, and therefore give real-time visibility and predictive solutions

References

AWS, "Detecting unusual spend with AWS Cost Anomaly Detection,". [Online]. Available:

https://docs.aws.amazon.com/cost-management/latest/userguide/manage-ad.html

Downloads

Published

2024-12-02

How to Cite

Ramakrishna Taluri. (2024). Innovations in Cloud Data Engineering for Automated Financial Analytics and Intelligent Cost Optimization . Journal of Computational Analysis and Applications (JoCAAA), 34(12), 38–45. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4288

Issue

Vol. 34 No. 12 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.