Applications of artificial intelligence and machine learning in the financial services industry: A bibliometric review

Pattnaik, Debidutta; Ray, Sougata; Raman, Raghu

doi:10.1016/j.heliyon.2023.e23492

Cited by 14 publications

(2 citation statements)

References 110 publications

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“…AI and ML methods have a significant influence on improving the efficacy and efficiency of anti-money laundering initiatives in the banking, financial services, and insurance (BFSI) industry. Strong AML processes are becoming more and more important as the financial sector gets more digitalized and as internet transactions increase (Pattnaik et al 2024).…”

Section: Financial Inclusion Fintech and Artificial Intelligencementioning

confidence: 99%

Financial Inclusion and Its Ripple Effects on Socio-Economic Development: A Comprehensive Review

Mishra,

Kandpal,

Agarwal

et al. 2024

JRFM

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This study provides an overview of the different dimensions of financial inclusion, its socioeconomic impacts on society’s sustainable development, and future research agendas. Initially, 620 studies were identified using Scopus and other databases, employing keywords such as financial literacy, financial inclusion, financial capability, women’s empowerment, fintech, artificial intelligence, financial accessibility, sustainable development goals, and economic growth. After refinement based on focus and relevance, 325 papers were analyzed in detail for review, primarily focused on India and emerging economies. This review highlights that access to finance by untouched segments of society is essential for sustainable and socio-economic development in developing economies. The official banking system, an effort by the government to assist the financially disadvantaged, can incorporate the impoverished into a formal financial system through campaigns and credit system reforms. Socioeconomic programs reinforce one another and foster the development of children, women, families, and society. This research paper undertakes a systematic literature review primarily focused on relevant articles in broad areas of financial inclusion and its impact analysis and offers a valuable agenda for future research.

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Section: Financial Inclusion Fintech and Artificial Intelligencementioning

confidence: 99%

Financial Inclusion and Its Ripple Effects on Socio-Economic Development: A Comprehensive Review

Mishra,

Kandpal,

Agarwal

et al. 2024

JRFM

View full text Add to dashboard Cite

show abstract

“…The study by Ref. [ 10 ] examines the research state of artificial intelligence (AI) and machine learning (ML) applications in the Banking, Financial Services, and Insurance sectors.…”

Section: Introductionmentioning

confidence: 99%

Evaluating human resources management literacy: A performance analysis of ChatGPT and bard

Raman,

Venugopalan,

Kamal

2024

Heliyon

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Exploring large language models as an integrated tool for learning, teaching, and research through the Fogg Behavior Model: a comprehensive mixed-methods analysis

Jyothy,

Kolil,

Raman

et al. 2024

Cogent Engineering

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Applications of artificial intelligence and machine learning in the financial services industry: A bibliometric review

Cited by 14 publications

References 110 publications

Financial Inclusion and Its Ripple Effects on Socio-Economic Development: A Comprehensive Review

Financial Inclusion and Its Ripple Effects on Socio-Economic Development: A Comprehensive Review

Evaluating human resources management literacy: A performance analysis of ChatGPT and bard

Exploring large language models as an integrated tool for learning, teaching, and research through the Fogg Behavior Model: a comprehensive mixed-methods analysis

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