Regulatory-Grade Autonomous Data Modernization: The RAMA Framework  for Compliance-Aware AI-Native Cloud Architectures

Hirenkumar N. Dholariya

Regulatory-Grade Autonomous Data Modernization: The RAMA Framework for Compliance-Aware AI-Native Cloud Architectures

Authors

Hirenkumar N. Dholariya

Keywords:

AI-Driven Modernization, Cloud Architecture, Semantic Intelligence, Predictive Analytics, Regulated Industries

Abstract

Contemporary data engineering within heavily regulated sectors has witnessed transformative shiftsthrough artificial intelligence integration. Healthcare, life sciences, and financial services faceunprecedented challenges in managing diverse data landscapes spanning legacy infrastructure, compartmentalized applications, and distributed computing environments

References

J. Mattioli, et al., "AI Engineering to Deploy Reliable AI in Industry," in 2023 Fifth International

Conference on Transdisciplinary AI (TransAI), 16 January 2024. Available: https://ieeexplore.ieee.org/document/10387654

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Published

2026-01-15

How to Cite

Hirenkumar N. Dholariya. (2026). Regulatory-Grade Autonomous Data Modernization: The RAMA Framework for Compliance-Aware AI-Native Cloud Architectures. Journal of Computational Analysis and Applications (JoCAAA), 35(1), 510–528. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4740