THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN BANKING SECTOR TO DETECT AND PREVENT FRAUD

In this study, we will explore the role of artificial intelligence (AI) solutions in tackling fraud detection and prevention efforts of commercial banks with due focus on efficiency enhancement in solving various tasks. Particular attention will be paid on the applicability of AI-based solutions in fraud detection and prevention of commercial banks in conditions of Uzbekistan. The study will reveal that the use of AI-based technologies in fraud detection and prevention enhances efficiency leading to decrease of time and costs while processing customer transactions and increase overall performance of these units in commercial banks.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-20
DOI
https://doi.org/10.5281/zenodo.14193009
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN BANKING SECTOR TO DETECT AND PREVENT FRAUD

Zenodo (CERN European Organization for Nuclear Research)
Imbalanced Data Classification Techniques
article

THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN BANKING SECTOR TO DETECT AND PREVENT FRAUD

article en

Abstract

In this study, we will explore the role of artificial intelligence (AI) solutions in tackling fraud detection and prevention efforts of commercial banks with due focus on efficiency enhancement in solving various tasks. Particular attention will be paid on the applicability of AI-based solutions in fraud detection and prevention of commercial banks in conditions of Uzbekistan. The study will reveal that the use of AI-based technologies in fraud detection and prevention enhances efficiency leading to decrease of time and costs while processing customer transactions and increase overall performance of these units in commercial banks.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 57%
Imbalanced Data Classification Techniques
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THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN BANKING SECTOR TO DETECT AND PREVENT FRAUD · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS