Strategies For Legacy Insurance Systems Through Ai And Cloud Integration: A Study For Transitioning Mainframe Workload To Azure And Ai Solution

International Journal of Engineering and Science Research 13 (2):204-211 (2023)
  Copy   BIBTEX

Abstract

This study explores the migration of legacy insurance systems to Microsoft Azure, integrated with AI for operational efficiency and customer service. It addresses the challenges and opportunities that insurers will confront during this migration, with particular emphasis on a variety of areas of concern in terms of security and compliance. The analysis illustrates best practices for moving to the cloud through the analysis of how cloud computing is impacting an institutional knowledge base and employee retraining. It highlights the findings that could empower insurance companies to renovate their IT setup to be cost-effective and scalable, with better decision-making.

Other Versions

No versions found

Links

PhilArchive

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Cloud Migration Strategies for Mainframe Modernization: A Comparative Study of AWS, Azure, and GCP.Govindaraj Vasanthi - 2024 - International Journal of Computer Trends and Technology 72 (10):57-65.
Exploring the Power of Cloud Storage with Azure and AWS.Talluri Durvasulu Mohan Babu - 2022 - International Journal on Recent and Innovation Trends in Computing and Communication 10 (2).
Transforming Pension Service Request Processing with Secure, Scalable, and AI-Powered Azure Cloud Technologies.Akshay Sharma & Satish Kabade - 2024 - International Journal of Scientific Research in Science, Engineering and Technology 11 (1).
Navigating the World of Cloud Storage: AWS, Azure, and More.Talluri Durvasulu Mohan Babu - 2019 - International Journal of Multidisciplinary Research in Science, Engineering and Technology 2 (8):1667-1673.
ENHANCING TRANSPARENCY AND EFFICIENCY IN LIFE INSURANCE THROUGH AZURE BLOCKCHAIN SERVICES.Pasam Thulasiram Prasad - 2025 - International Journal for Innovative Engineering and Management Research 14 (03):444-453.
Leveraging Azure AI and Machine Learning For Predictive Analytics and Decision Support Systems IN.Vishnuvardhan S. Venkatapathi S. - 2024 - International Journal of Multidisciplinary Research in Science, Engineering and Technology 7 (6):11631-11636.
CLOUD STORAGE FOR PROFESSIONALS: AWS, AZURE, AND BEYOND.Talluri Durvasulu Mohan Babu - 2023 - International Journal of Computer Engineering and Technology 14 (3):246-259.
Microsoft Azure Networking: Empowering Cloud Connectivity and Security.Borra Praveen - 2024 - International Journal of Advanced Research in Science, Communication and Technology 4 (3):469-475.
Future Proofing Insurance Operations: A Guidewire-Centric Approach to Cloud, Cybersecurity, and Generative AI.Adavelli Sateesh Reddy - 2023 - International Journal of Computer Science and Information Technology Research 4 (2):29-52.
Building Resilient Digital Insurance Ecosystems: Guidewire, Cloud, And Cybersecurity Strategies.Adavelli Sateesh Reddy - 2022 - Esp Journal of Engineering and Technology Advancements 2 (3):140-153.

Analytics

Added to PP
2025-05-19

Downloads
476 (#110,076)

6 months
208 (#54,079)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

Data Privacy and Ethics in Analytics: Balancing Insight and Responsibility.Harsha Kumari Srinivasan Farah Kumari Prasad, Gauri Kumari Raghavan - 2024 - International Journal of Multidisciplinary Research in Science, Engineering, Technology and Management 11 (8).
Bias and Fairness in Machine Learning Models: A Critical Examination of Ethical Implications.Krishna Singh Mishra Vivaan Chandra Reddy, Saanvi Kumar Kapoor - 2024 - International Journal of Multidisciplinary Research in Science, Engineering and Technology 7 (2):4927-4931.
Privacy-Enhanced AI for IoT: Federated Learning in Security Applications.Anand Kumar Rao Rohit Kumar Iyer - 2024 - International Journal of Advanced Research in Education and Technology 11 (2).

Add more citations

References found in this work

No references found.

Add more references