AI Integration in Financial Services: a Systematic Review of Trends and Regulatory Challenges

AI integration in financial services: a systematic review of trends and regulatory challenges

The integration of Artificial Intelligence (AI) into financial services represents a developmental shift in the industry, presenting unprecedented opportunities and challenges. This scientometric review examines the evolution of AI in finance from 1989 to 2024, analyzing its pivotal applications in credit scoring, fraud detection, digital insurance, robo-advisory services, and financial inclusion. The analysis reveals significant trends, particu…

Machine Learning in FinTech: Risk management and fraud detection

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud. Machine learning has emerged as a game-changer in FinTech, providing real-time, adaptive intelligence that safeguards transactions, detects anomalies, and mitigates risk at unprecedented scale. This white paper explores the transformative impact of machine learning on financial security, exploring its key applications, impl…

Fintech meets banking: The risks and rewards of hybrid finance

The financial landscape is undergoing a significant transformation as fintechs and traditional banks increasingly converge, forging a dynamic new ecosystem. This fusion, characterised by blurred lines and innovative hybrid models, presents both exciting opportunities and novel risks. From neobanks expanding their offerings to fintechs acquiring bank charters, this evolving space promises enhanced customer experiences and new revenue streams. How…