Year: 2025
Type: article
Abstract: ABSTRACT: This paper presents an AI / ML enabled protocol translation middleware that fills the gap between legacy banking systems and modern cloud native platform. It enables an intelligent, secure and cost-effective way of modernization in increments, which will preserve the legacy systems in a manner that can meet the ever-changing technological demands by leveraging the scale of cloud infrastructure, semantic data mapping and real time translation.
Authors: Executive Director, JP Morgan Chase Bank, Lewisville, TX, USA, Laxmikanth Mukund Sethu Kumar
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410244881
