RegTech Modernization with AI: Cross-Domain Predictive Modeling Using  Bedrock and Blockchain Data

Naveen Kumar Vayyasi

RegTech Modernization with AI: Cross-Domain Predictive Modeling Using Bedrock and Blockchain Data

Authors

Naveen Kumar Vayyasi

Keywords:

RegTech, artificial intelligence, blockchain analytics, predictive modeling, compliance automation, Amazon Bedrock, financial regulation

Abstract

Regulatory technology faces unprecedented challenges as financial institutions navigateincreasingly complex compliance landscapes while managing exponential data growth fromblockchain-based transactions. This research explores the integration of artificial intelligencethrough Amazon Bedrock with blockchain data analytics to create cross-domain predictive models for regulatory compliance monitoring.

References

Anderson, M. and Singh, P. (2019) 'Regulatory frameworks for artificial intelligence in financial services: Balancing innovation and consumer protection', Journal of Financial Regulation and Compliance, 31(2), pp. 187-205

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Published

2019-02-05

How to Cite

Naveen Kumar Vayyasi. (2019). RegTech Modernization with AI: Cross-Domain Predictive Modeling Using Bedrock and Blockchain Data . Journal of Computational Analysis and Applications (JoCAAA), 26(2), 7–20. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4878