THE ROLE OF ARTIFICIAL INTELLIGENCE AND BIG DATA TECHNOLOGIES IN THE TRANSFORMATION OF BANKING SERVICES

This article examines the growing role of Artificial Intelligence (AI) and Big Data technologies in the banking sector from a scientific and analytical perspective. The study analyzes the processes of digitalization of modern banking services, the application of machine learning algorithms in credit risk assessment, the effectiveness of predictive models in fraud detection, and innovations in providing personalized financial services. In addition, the current state and future prospects of digital transformation in the banking system of Uzbekistan are discussed. The results of the research show that the implementation of Artificial Intelligence and Big Data technologies in banking activities can significantly increase efficiency, reduce costs, and improve customer satisfaction.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-24
DOI
https://doi.org/10.5281/zenodo.19208315
Primary Topic
Water and Wastewater Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE ROLE OF ARTIFICIAL INTELLIGENCE AND BIG DATA TECHNOLOGIES IN THE TRANSFORMATION OF BANKING SERVICES

Muslima Panjiyeva, Ne'mat Normamatov, Sirojiddin Xidirnazarov, Sardorbek Usmonov
Zenodo (CERN European Organization for Nuclear Research)
Water and Wastewater Treatment
article

THE ROLE OF ARTIFICIAL INTELLIGENCE AND BIG DATA TECHNOLOGIES IN THE TRANSFORMATION OF BANKING SERVICES

Muslima Panjiyeva, Ne'mat Normamatov, Sirojiddin Xidirnazarov, Sardorbek Usmonov
article en

Abstract

This article examines the growing role of Artificial Intelligence (AI) and Big Data technologies in the banking sector from a scientific and analytical perspective. The study analyzes the processes of digitalization of modern banking services, the application of machine learning algorithms in credit risk assessment, the effectiveness of predictive models in fraud detection, and innovations in providing personalized financial services. In addition, the current state and future prospects of digital transformation in the banking system of Uzbekistan are discussed. The results of the research show that the implementation of Artificial Intelligence and Big Data technologies in banking activities can significantly increase efficiency, reduce costs, and improve customer satisfaction.

Zenodo (CERN European Organization for Nuclear Research)
Termez State University (UZ)
Openalex Percentile: Top 8%
Water and Wastewater Treatment
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.