Next-gen Fintech: The Ai Advantage

The FinTech is becoming even more central to the establishment of new economies, societies, and technologies. The latest generation of FinTech, or "smartfintech," utilizesdata science and artificial intelligence approaches to propel significant progress in areas like block chain, cryptocurrency, insurtech, paytech, banking tech, tradetech, lendtech, wealthtech, and risktech. This paper provides an over view of these topics withthe data science and artificial intelligence techniques involved. These methods include deep learning, federated learning, augmentation, optimization, privacy-preserving processing, intelligent interactions, mathematical approaches, complex system approaches, knowledgable communication, recognition and responses, and data analytics. This paper provides a comprehensive overview of smart financial companies, their issues, the smart FinTech ecosystem, the AI and data science techniques that enable smart FinTech, and directions for future research in these disciplines. The study uses visual means like tables and figures to enhance comprehension and analysis. The study focuses on financial institutions' data quality in terms of data manipulation and augmentation, increasing fairness and decision-support, as well as responsible business and FinTech designs that focus on privacy protection, responsibility, transparency, and objectivity. The study also covers ethical and explainable FinTech.

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Publication Details

Journal
International Journal of Development Research
Published
2025-03-30
DOI
https://doi.org/10.37118/ijdr.29385.03.2025
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

Next-gen Fintech: The Ai Advantage

International Journal of Development Research
FinTech, Crowdfunding, Digital Finance
article

Next-gen Fintech: The Ai Advantage

article en

Abstract

The FinTech is becoming even more central to the establishment of new economies, societies, and technologies. The latest generation of FinTech, or "smartfintech," utilizesdata science and artificial intelligence approaches to propel significant progress in areas like block chain, cryptocurrency, insurtech, paytech, banking tech, tradetech, lendtech, wealthtech, and risktech. This paper provides an over view of these topics withthe data science and artificial intelligence techniques involved. These methods include deep learning, federated learning, augmentation, optimization, privacy-preserving processing, intelligent interactions, mathematical approaches, complex system approaches, knowledgable communication, recognition and responses, and data analytics. This paper provides a comprehensive overview of smart financial companies, their issues, the smart FinTech ecosystem, the AI and data science techniques that enable smart FinTech, and directions for future research in these disciplines. The study uses visual means like tables and figures to enhance comprehension and analysis. The study focuses on financial institutions' data quality in terms of data manipulation and augmentation, increasing fairness and decision-support, as well as responsible business and FinTech designs that focus on privacy protection, responsibility, transparency, and objectivity. The study also covers ethical and explainable FinTech.

International Journal of Development Research
TD Bank (US), Government of the United States of America (US)
Openalex Percentile: Top 54%
FinTech, Crowdfunding, Digital Finance
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Next-gen Fintech: The Ai Advantage · International Journal of Development Research (2025) | TGRS Research Map | TGRS