A Comprehensive Review of the Significance of Low-code Automation in Risk Management for Banks

Abstract

This study provides a comprehensive examination of the influence of low-code development platforms in the risk management area within the banking sector. This research delves into the tactical utilization of low-code automation in the realm of risk management, with a particular emphasis on compliance monitoring, fraud detection, credit risk evaluation, and operational risk management. Additionally, the study centers on the metamorphosis of software design, development, and deployment processes, made possible by the easy accessibility of low-code platforms. The objective of the study is to illustrate how the digitization and automation of manual tasks in these domains augment service. provision, expedite the identification of compliance violations, and simplify credit risk evaluation, thereby conferring advantages to both banks and their clientele. Through meticulous analysis, this investigation seeks to furnish important perspectives on the uptake and influence of low-code development platforms in the banking sector, illuminating the potential for improved operational efficiency, regulatory adherence, and superior risk management.

Authors and Affiliations

Deepa Ajish

Keywords

Related Articles

AI Based Food Quality Recommendation System

Deep learning has been evidenced to be a cutting-edge technology for big data scrutiny with a huge figure of effective cases in image processing, speech recognition, object detection, and so on. Lately, it has also been...

Analysis of Cyber Security Threats Using Machine Learning Techniques

Nowadays malware detection is a problem that researchers have tried to solve for so many years by using enormous type of methods. The behaviors of two given malware variants remain similar, although their signatures coul...

Real Time Prevention of Driver Fatigue Using Deep Learning and MediaPipe

This paper describes the development of a system for detecting driver drowsiness whose goal is to alert drivers of their sleepy state to prevent traffic accidents. It is essential that drowsiness detection in a driving e...

A Comprehensive Review- Building A Secure Social Media Environment for Kids- Automated Content Filtering with Biometric Feedback

This review paper is all about how important it is to use smart technology to keep kids safe on social media while helping them learn better. By adding things like better controls for parents, filters that stop bad stuff...

Analysing the Impact of Substrate Thickness on Antenna Performance for GPS Application

A microstrip patch antenna is a popular choice of antenna for use in the L band frequency range. They also have good radiation characteristics, making them ideal for receiving and transmitting low-power radio frequency s...

Download PDF file
  • EP ID EP744999
  • DOI 10.55524/ijircst.2024.12.2.8
  • Views 10
  • Downloads 0

How To Cite

Deepa Ajish (2024). A Comprehensive Review of the Significance of Low-code Automation in Risk Management for Banks. International Journal of Innovative Research in Computer Science and Technology, 12(2), -. https://europub.co.uk/articles/-A-744999