Artificial Intelligence and Fintech: Redefining the Landscape of Financial Services

The convergence of artificial intelligence (AI) and financial technology (fintech) is reshaping the landscape of financial services, offering unprecedented advancements in efficiency, accuracy, and customer experience. This research aims to analyze and evaluate the impact of AI on the fintech sector, focusing on its transformative effects on traditional financial services, operational efficiencies, and customer interactions. This study seeks to provide a comprehensive understanding of AI applications in fintech, exploring their benefits and challenges including regulatory, ethical, and security considerations. By examining current trends, case studies, and recent literature, the research aims to elucidate the future trajectory of AI in fintech and its potential to revolutionize financial services. The research methodology encompasses a thorough literature review of academic journals, conference papers, and industry reports. Case studies detailing AI implementations in financial services are analyzed to provide real-world insights. Regulatory documents and policy frameworks are examined to understand compliance requirements and ethical implications. Data analysis will employ thematic analysis to identify patterns and themes across the collected data. The integration of AI in fintech enhances financial decision-making through advanced algorithms and predictive models, facilitating informed investments and risk assessments in real-time. AI-driven customer service tools improve engagement by offering personalized interactions and operational efficiencies. Moreover, AI is critical in fraud detection and risk management, optimizing credit scoring processes, and enhancing regulatory compliance. AI technologies improve investment decisions and risk assessments, potentially increasing profitability and reducing financial risks. AI-driven tools enhance customer service with personalized interactions, improving user satisfaction and operational efficiency. Therefore, AI's integration in fintech presents opportunities for innovation while posing challenges such as data privacy and regulatory compliance. In conclusion, the transformative impact of AI in fintech underscores the need for ongoing research and adaptive regulatory frameworks to harness its full potential ethically and securely.

Publication Details

Journal
Canadian Journal of Business and Information Studies
Published
2025-08-17
DOI
https://doi.org/10.34104/cjbis.025.04170425
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence and Fintech: Redefining the Landscape of Financial Services

Canadian Journal of Business and Information Studies
FinTech, Crowdfunding, Digital Finance
article

Artificial Intelligence and Fintech: Redefining the Landscape of Financial Services

article en

Abstract

The convergence of artificial intelligence (AI) and financial technology (fintech) is reshaping the landscape of financial services, offering unprecedented advancements in efficiency, accuracy, and customer experience. This research aims to analyze and evaluate the impact of AI on the fintech sector, focusing on its transformative effects on traditional financial services, operational efficiencies, and customer interactions. This study seeks to provide a comprehensive understanding of AI applications in fintech, exploring their benefits and challenges including regulatory, ethical, and security considerations. By examining current trends, case studies, and recent literature, the research aims to elucidate the future trajectory of AI in fintech and its potential to revolutionize financial services. The research methodology encompasses a thorough literature review of academic journals, conference papers, and industry reports. Case studies detailing AI implementations in financial services are analyzed to provide real-world insights. Regulatory documents and policy frameworks are examined to understand compliance requirements and ethical implications. Data analysis will employ thematic analysis to identify patterns and themes across the collected data. The integration of AI in fintech enhances financial decision-making through advanced algorithms and predictive models, facilitating informed investments and risk assessments in real-time. AI-driven customer service tools improve engagement by offering personalized interactions and operational efficiencies. Moreover, AI is critical in fraud detection and risk management, optimizing credit scoring processes, and enhancing regulatory compliance. AI technologies improve investment decisions and risk assessments, potentially increasing profitability and reducing financial risks. AI-driven tools enhance customer service with personalized interactions, improving user satisfaction and operational efficiency. Therefore, AI's integration in fintech presents opportunities for innovation while posing challenges such as data privacy and regulatory compliance. In conclusion, the transformative impact of AI in fintech underscores the need for ongoing research and adaptive regulatory frameworks to harness its full potential ethically and securely.

Canadian Journal of Business and Information Studies
Openalex Percentile: Top 65%
FinTech, Crowdfunding, Digital Finance
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Artificial Intelligence and Fintech: Redefining the Landscape of Financial Services · Canadian Journal of Business and Information Studies (2025) | TGRS Research Map | TGRS