Implementation of AI in Finance

Artificial Intelligence (AI) is revolutionizing the financial industry by enabling previously unheardof levels of efficiency, accuracy, and innovation through the transformation of conventional systems andprocedures. This study examines the complex effects of AI in several important financial domains, includingrisk assessment, fraud detection, investment management, and customer service. According to a surveyconducted with 500 participants, more than 70% of participants have a good opinion of AI adoption, pointingto its capacity to increase customer experience, save operating expenses, and improve decision-making. Butissues like algorithmic bias, data privacy, and regulatory compliance continue to be major roadblocks tobroad use. This study's methodologies, which provide a thorough understanding of AI's advantages andlimits, include statistical analysis of survey data and qualitative evaluation using thematic analysis.Thefindings underscore the need for a balanced approach to harness AI's potential while addressing ethical andregulatory concerns. This paper contributes to ongoing discussions about AI's role in shaping the future offinance, offering insights for policymakers, industry leaders, and researchers.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-12
DOI
https://doi.org/10.5281/zenodo.15204230
Primary Topic
Cancer, Hypoxia, and Metabolism
Type
article
Field-Weighted Citation Impact
0.00
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article

Implementation of AI in Finance

Zenodo (CERN European Organization for Nuclear Research)
Cancer, Hypoxia, and Metabolism
article

Implementation of AI in Finance

article en

Abstract

Artificial Intelligence (AI) is revolutionizing the financial industry by enabling previously unheardof levels of efficiency, accuracy, and innovation through the transformation of conventional systems andprocedures. This study examines the complex effects of AI in several important financial domains, includingrisk assessment, fraud detection, investment management, and customer service. According to a surveyconducted with 500 participants, more than 70% of participants have a good opinion of AI adoption, pointingto its capacity to increase customer experience, save operating expenses, and improve decision-making. Butissues like algorithmic bias, data privacy, and regulatory compliance continue to be major roadblocks tobroad use. This study's methodologies, which provide a thorough understanding of AI's advantages andlimits, include statistical analysis of survey data and qualitative evaluation using thematic analysis.Thefindings underscore the need for a balanced approach to harness AI's potential while addressing ethical andregulatory concerns. This paper contributes to ongoing discussions about AI's role in shaping the future offinance, offering insights for policymakers, industry leaders, and researchers.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Cancer, Hypoxia, and Metabolism
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