THE IMPACT OF AI: ADVANCING ACCURACY AND EFFICIENCY IN THE BANKING INDUSTRY

Artificial Intelligence (AI) is transforming the banking industry by improving accuracy, efficiency, and decision-making processes.This paper explores the impact of AI on various banking functions, including credit risk management, customer service, fraud detection, loan processing, investment management, and regulatory compliance.AI-driven models analyze large volumes of real-time data to enhance credit scoring, identify fraud patterns, automate loan underwriting, and personalize customer experiences.Machine learning algorithms improve predictive accuracy, enabling banks to make faster and more informed decisions.AI also enhances operational efficiency by automating routine tasks, reducing processing time, and minimizing human errors.The paper highlights the advantages of AI in banking, such as cost reduction, improved customer satisfaction, enhanced fraud prevention, and better risk management.Real-world examples from Indian banks, including HDFC, ICICI, and SBI, demonstrate how AI has improved operational performance and customer engagement.AIdriven solutions have positioned banks to respond more effectively to market changes and customer needs, ensuring long-term competitive advantage in the financial sector.

Authors

Publication Details

Journal
International Research Journal of Education and Technology (IRJET).
Published
2024-11-29
DOI
https://doi.org/10.70127/irjedt.vol.7.issue03.1050
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE IMPACT OF AI: ADVANCING ACCURACY AND EFFICIENCY IN THE BANKING INDUSTRY

S JEYAKUMAR
International Research Journal of Education and Technology (IRJET).
FinTech, Crowdfunding, Digital Finance
article

THE IMPACT OF AI: ADVANCING ACCURACY AND EFFICIENCY IN THE BANKING INDUSTRY

S JEYAKUMAR
article en

Abstract

Artificial Intelligence (AI) is transforming the banking industry by improving accuracy, efficiency, and decision-making processes.This paper explores the impact of AI on various banking functions, including credit risk management, customer service, fraud detection, loan processing, investment management, and regulatory compliance.AI-driven models analyze large volumes of real-time data to enhance credit scoring, identify fraud patterns, automate loan underwriting, and personalize customer experiences.Machine learning algorithms improve predictive accuracy, enabling banks to make faster and more informed decisions.AI also enhances operational efficiency by automating routine tasks, reducing processing time, and minimizing human errors.The paper highlights the advantages of AI in banking, such as cost reduction, improved customer satisfaction, enhanced fraud prevention, and better risk management.Real-world examples from Indian banks, including HDFC, ICICI, and SBI, demonstrate how AI has improved operational performance and customer engagement.AIdriven solutions have positioned banks to respond more effectively to market changes and customer needs, ensuring long-term competitive advantage in the financial sector.

International Research Journal of Education and Technology (IRJET).Vol. 6(11)
Decent work and economic growth
Openalex Percentile: Top 55%
FinTech, Crowdfunding, Digital Finance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.