Sivakumaran, Vaidyanathan (2025) Leveraging AI/ML-enhanced observability in financial services: A technical deep dive. International Journal of Science and Research Archive, 14 (1). pp. 1610-1617. ISSN 25828185
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Abstract
The integration of artificial intelligence and machine learning with observability practices is fundamentally transforming how financial institutions measure, track, and optimize their business outcomes. This comprehensive article explores how AI/ML-enhanced observability solutions are revolutionizing various aspects of financial services, from marketing campaign effectiveness to anomaly detection and fraud prevention. The article examines the implementation of predictive analytics, real-time monitoring systems, and cloud-native architectures, demonstrating significant improvements in operational efficiency, customer experience, and risk management. Through a detailed examination of practical applications and technical considerations, this article provides insights into how financial institutions are leveraging AI-enhanced observability to bridge the gap between business objectives and technical implementation while achieving substantial improvements in performance, reliability, and decision-making capabilities.
Item Type: | Article |
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Uncontrolled Keywords: | AI/ML Observability; Financial Technology Integration; Cloud-Native Architecture; Predictive Analytics; Real-time Monitoring |
Subjects: | H Social Sciences > HG Finance Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Computer software |
Depositing User: | Editor IJSRA |
Date Deposited: | 08 Jul 2025 16:44 |
Last Modified: | 08 Jul 2025 16:44 |
URI: | https://eprint.scholarsrepository.com/id/eprint/148 |