Articles
| Open Access |
DOI: Deep Learning Applications in Financial Crime Detection: AWS Solutions for Enhanced Customer Experience and Security
Vimal Pradeep Venugopal , Independent researcher, USAAbstract
This article explores the transformative role of AWS deep learning technologies in financial crime detection and prevention. It examines how advanced neural networks and cloud infrastructure enable financial institutions to overcome the limitations of traditional rule-based systems, significantly enhancing both security capabilities and customer experience. The article shows various deep learning frameworks, including CNNs, LSTMs, and GNNs, for detecting different types of financial crimes, analyzes implementation architectures on AWS, and presents a comprehensive case study demonstrating substantial improvements in fraud detection rates and operational efficiency. Additionally, the article addresses emerging trends, implementation recommendations, and regulatory considerations that will shape the future of AI-based financial crime prevention.
Keywords
Deep Learning, Financial Crime Detection, Cloud Infrastructure, CustomerExperience
References
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Copyright (c) 2025 Vimal Pradeep Venugopal
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