A Comprehensive Review of the Significance of Low-code Automation in Risk Management for Banks
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2024, Vol 12, Issue 2
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
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...
Energy Aware Sensor Node Design
Wireless sensor network (WSN) have been identified as one of the most important technology for 21st century. But the energy consumption is the major problem for the implementation of wireless sensor network now days. Thi...
Free Area Estimator for Simulated Annealing of VLSI Floor Plans
VLSI floor planning problem encounter large dynamically changing decision trees and is known to be a NP Hard problem. Near optimal results can be obtained by non-deterministic methods such as simulated annealing. Anneali...
Performance Analysis of Optical Fiber Network from MAC Layer Perspective
Optical fiber provides infinite capacity to support the rapid traffic growth which is required to our information society. However, as demand is increased and technology has developed, we have realized that there is a fu...
Research on Real-time Multilingual Transcription and Minutes Generation for Video Conferences Based on Large Language Models
This scholarly inquiry examines the utilization of the Hybrid Grey Wolf Optimization Algorithm (HGWOA) in addressing the Job Shop Scheduling Problem (JSSP), a combinatorial optimization problem commonly encountered withi...