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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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ARTIFICIAL INTELLIGENCE AS A CATALYST FOR OPERATIONAL EFFICIENCY IN FINANCIAL INSTITUTIONS

Authors: Melikmurodov Dilshod;

ARTIFICIAL INTELLIGENCE AS A CATALYST FOR OPERATIONAL EFFICIENCY IN FINANCIAL INSTITUTIONS

Abstract

This article examines the growing role of artificial intelligence (AI) in the financial sector, focusing on its impact on productivity enhancement and cost reduction. It highlights how AI technologies—such as machine learning (ML), natural language processing (NLP), and computer vision—are transforming core financial operations, including fraud detection, credit scoring, customer service, trading, and compliance. Drawing on industry case studies and reports, the paper demonstrates that AI significantly improves operational efficiency by automating repetitive tasks, accelerating decision-making, and extracting insights from large datasets. Furthermore, AI contributes to cost optimisation through reduced labour requirements, lower compliance costs, and enhanced fraud prevention mechanisms.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average