Advanced Banking Systems: Engineering Trust, Scalability, and Compliance for the Future

Abstract

This paper discusses the engineering remedies that are needed in the creation of the next-generation banking systems that focus on trust, scale, and compliance. It explores the use of machine learning, cloud computing, and blockchain capabilities to improve the processing of transactions and detection of fraud. The study involves predicting the behavior of the customers using LSTM, as well as the normalization techniques enhance the accuracy of models. The study helps to create better, high-performance, scalable, and secure banking platforms in the future by addressing the issue of scalability and security.