Cloud-native and AI-driven architectural frameworks for modern insurance enterprises

Terala, Avinash (2025) Cloud-native and AI-driven architectural frameworks for modern insurance enterprises. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 177-184. ISSN 2582-8266

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Abstract

This article examines the transformative impact of cloud-native and AI-driven architectural frameworks on modern insurance enterprises. The article explores how the convergence of microservice architectures, artificial intelligence, and cloud computing is reshaping the technology landscape for insurers faced with increasing demands for agility, scalability, and real-time processing capabilities. The article investigates emerging architectural patterns including Event-Driven Architecture, AI-powered predictive frameworks, and data Lakehouse solutions that enable insurers to transition from legacy monolithic systems to more flexible, resilient infrastructures. The article identifies key strategies for successful architectural modernization while addressing industry-specific challenges related to consistency management, security, and regulatory compliance. The article demonstrates substantial operational and performance improvements achieved through these architectural innovations, examining future trends in AI architectures and containerization optimization techniques. This comprehensive article provides insurance technology leaders with a strategic framework for evaluating and implementing modern architectural approaches that balance innovation with operational stability in this highly regulated industry.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.2.0537
Uncontrolled Keywords: Cloud-Native Microservices; Ai-Driven Insurance Architecture; Event-Driven Processing; Data Lakehouse Analytics; Zero Trust Security
Depositing User: Editor Engineering Section
Date Deposited: 04 Aug 2025 16:19
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/3404