International Research Journal of Education and Technology

This research paper aims to study the interaction of Generative AI with other existing financial programs in the Google Cloud Platform environment. How GenAI could revolutionize finance across areas such as customer service and risk management is discussed, alongside the difficulties of implementing these and other next-generation models onto frequently outdated infrastructure. This paper explores these issues, such as data partitioning, compatibility with existing systems, concerns of security, and requirements for interpretability within the financial industry constraints. Based on GCP’s strong fundamentals, analytics, and security, the study explores the optimal way to integrate them into a project. Topics discussed are data migration, using APIs, run time containers, and managing multi-cloud platforms. It is work that aims to present a reliable how-to guide for the implementation of GenAI on  GCP for financial institutions. To do that while staying compliant with the regulations and secure data, the financial industry needs to become wiser and more efficient.

Keywords: Financial Applications, Generative AI, cloud platforms, cloud and integration platforms, legacy modernization, data security, compliance with regulations.