The Transformative Effects of Artificial Intelligence, Machine Learning, and Blockchain on the Fintech Sector: A Systematic Review

Abstract

The Fintech industry is going through a major shift fueled by the application of Artificial Intelligence (AI), Machine Learning (ML), and blockchain technology, which are growing in significance due to increasing consumer demand for innovative financial products. This systematic review investigates the role of these technologies in transforming Fintech, their uses, advantages, and challenges. A systematic search of literature on major databases was done to select relevant studies, using strict selection criteria to guarantee methodological quality and relevance. Qualitative analysis was used to synthesize key themes and findings. The review emphasizes the role of AI in the provision of personalized financial advice and stringent fraud detection mechanisms to improve customer experience. ML is able to advance predictive analytics, leading to better market forecasting and risk assessment. Blockchain technology is a secure and decentralized platform for transactions that provides better transparency and operational efficiency in the financial industry. There are still problems associated with regulatory issues, data privacy, and ethics despite these developments. The results highlight the profound influence of AI, ML, and blockchain on the Fintech industry while underlining the importance of future research aimed at creating ethical guidelines that guarantee the responsible implementation of such technology. Such frameworks are important in ensuring the greatest benefits at the expense of addressing risks such as fairness, transparency, and accountability. In conclusion, this review illustrates how AI, ML, and blockchain are revolutionizing Fintech by enhancing security and efficiency, but also necessitates cautious consideration of ethical considerations as these technologies advance.