Real-Time AI and Data Transparency in Financial Services: A New Era of Trust and Liquidity Optimization

Authors

  • Nirajkumar Radhasharan

Keywords:

Real-Time Treasury Management, Artificial Intelligence In Finance, Regulatory Compliance Automation, Distributed Ledger Technology, Digital Banking Maturity

Abstract

The financial services industry is undergoing a fundamental transformation in liquidity management andrisk oversight through the integration of artificial intelligence, cloud computing, and real-time dataprocessing capabilities. Traditional treasury management approaches based on batch processing and endof-day reconciliation have proven inadequate for modern market demands, creating temporal delays that impede dynamic response to liquidity events and regulatory requirements

References

Nguyen Minh Sang et al., "Evolution and future directions of banking risk management research: A bibliometric analysis," ResearchGate, April 2024[Online].Available:https://www.researchgate.net/publication/379484837_Evolution_and_future_directions_of_banking_risk_management_research_A_bibliometric_analysis

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Published

2026-01-09

How to Cite

Nirajkumar Radhasharan. (2026). Real-Time AI and Data Transparency in Financial Services: A New Era of Trust and Liquidity Optimization . Journal of Computational Analysis and Applications (JoCAAA), 35(1), 205–215. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4661

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Section

Articles