AI-Powered Credit Scoring: Transforming Lending Decisions in Fintech

Authors

  • Manish Saxena

Keywords:

AI-powered credit scoring revolutionizes Fintech lending globally, emphasizing brand building, value proposition, and strategic themes.

Abstract

In the rapidly evolving landscape of financial technology (Fintech), the utilization of artificial intelligence (AI) has become instrumental in transforming lending decisions, particularly in the domain of credit scoring. This abstract explores the strategic imperatives essential for leveraging AI-powered credit scoring to redefine lending practices within the Fintech industry on a global scale. With an emphasis on brand building, value proposition clarity, and narrative consistency, Fintech enterprises can cultivate trust and credibility among consumers, crucial in a digitally-driven marketplace. Additionally, the abstract delves into seven strategic themes guiding the implementation and expansion of AI-driven credit scoring, highlighting its disruptive potential in reshaping traditional approaches to financial transactions. Through this exploration, the abstract sheds light on the pivotal role of AI in driving innovation and efficiency in the Fintech sector, paving the way for enhanced financial inclusivity and accessibility worldwide.

 

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Published

2024-02-07

How to Cite

Manish Saxena. (2024). AI-Powered Credit Scoring: Transforming Lending Decisions in Fintech. International Journal of Research and Review Techniques, 3(1), 31–34. Retrieved from https://ijrrt.com/index.php/ijrrt/article/view/169