AI-BASED COST OPTIMIZATION AND FINOPS GOVERNANCE FOR CLOUD NATIVE BANKING PLATFORMS

Authors

  • Nikita Chawla Author

DOI:

https://doi.org/10.65009/f8xvc352

Abstract

The AI-based FinOps governance in the matter of cost-efficient use of clouds in the 
cloud-based bank platform. The issues that have been determined in the literature are the 
lack of visibility of costs, the governance immaturity, and a surge in cloud expenditures. The 
AI-based predictions, optimisation, and anomaly observation turn out to be valuable 
enablers to the realisation of improved financial accountability and decision-making. The 
data is complemented by the graphs, which point to the increased use of FinOps, yet there 
was a lack of maturity, as well as a rising relationship to the sustainability objectives. The 
study emphasises the need to have formal AI-enhanced governance systems unique to 
banking environments to enhance transparency, conformity and effectiveness. Overall, AI
based FinOps can offer the proactive, sustainable and strategically managed cloud cost to a 
great extent.

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Published

2024-04-17

Issue

Section

Articles

How to Cite

AI-BASED COST OPTIMIZATION AND FINOPS GOVERNANCE FOR CLOUD NATIVE BANKING PLATFORMS . (2024). Phoenix: International Multidisciplinary Research Journal ( Peer Reviewed High Impact Journal ), 2(2), 1-12. https://doi.org/10.65009/f8xvc352