The Impact of Artificial Intelligence in The Financial Sector: Opportunities and Challenges

This article explores the transformative impact of Artificial Intelligence (AI) in the financial sector, highlighting its various applications and associated challenges. Through a detailed analysis, key technologies such as machine learning, computer vision, and natural language processing are examined, which have revolutionized critical areas such as customer service, risk management, and financial advising. Although AI has significantly improved operational efficiency and service personalization, it also presents important risks and limitations, such as data privacy, lack of model interpretability, and cybersecurity. Additionally, the article addresses future forecasts for AI adoption in finance, suggesting that its integration will continue to expand, driven by technological advances and regulatory improvements. However, this expansion must be balanced with adequate oversight to mitigate potential risks and maximize benefits. Overall, this study offers a balanced view of the opportunities and challenges that AI presents for the future of global finance.

Authors

Publication Details

Journal
International Journal of Business & Management Studies
Published
2024-10-12
DOI
https://doi.org/10.56734/ijbms.v5n10a4
Citations
8
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
9.03
Controls
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article

The Impact of Artificial Intelligence in The Financial Sector: Opportunities and Challenges

Rafael Becerra Vicario, Lucía Valcarce-Ruiz, José Ramón, Belén Salas-Compás et al.
8 citations
International Journal of Business & Management Studies
Insurance and Financial Risk Management
9.03
article

The Impact of Artificial Intelligence in The Financial Sector: Opportunities and Challenges

Rafael Becerra Vicario, Lucía Valcarce-Ruiz, José Ramón, Belén Salas-Compás, Sánchez Serrano
article en
8 citations

Abstract

This article explores the transformative impact of Artificial Intelligence (AI) in the financial sector, highlighting its various applications and associated challenges. Through a detailed analysis, key technologies such as machine learning, computer vision, and natural language processing are examined, which have revolutionized critical areas such as customer service, risk management, and financial advising. Although AI has significantly improved operational efficiency and service personalization, it also presents important risks and limitations, such as data privacy, lack of model interpretability, and cybersecurity. Additionally, the article addresses future forecasts for AI adoption in finance, suggesting that its integration will continue to expand, driven by technological advances and regulatory improvements. However, this expansion must be balanced with adequate oversight to mitigate potential risks and maximize benefits. Overall, this study offers a balanced view of the opportunities and challenges that AI presents for the future of global finance.

International Journal of Business & Management StudiesVol. 05(10)
Openalex Percentile: Top 3%
Insurance and Financial Risk Management
9.03
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The Impact of Artificial Intelligence in The Financial Sector: Opportunities and Challenges — Rafael Becerra Vicario, Lucía Valcarce-Ruiz, et al. · International Journal of Business & Management Studies (2024) | TGRS Research Map | TGRS