The Digital Revolution and Satisfaction Knowledge of Fintech-Based Advancements in Machine Learning

Abstract

On the international stage, financial technology, or Fintech, is a relatively new industry. The automation of financial services using IT is becoming more and more important as the several transactions occurring online rise. Fintech helps businesses to provide round-the-clock services to clients wherever in the world. However, since Fintech transactions involve information, maintaining security becomes crucial. Such systems' weaknesses expose them to fraudulent activities, which seriously harm both clients and suppliers. For this reason, anomalies in Fintech applications are detected using methods from the field of machine learning (ML). The results showed that customer satisfaction is highly influenced by the tangibles, fintech services' dependability, and empathy. However, there was no discernible difference in consumer satisfaction between assurance and responsiveness. Additionally, the results demonstrated that customer satisfaction with fintech services has a significant and positive impact on the intention to re-use fintech services, underscoring the importance of sustaining high customer satisfaction for retention. Interestingly, there was little direct effect of digital transformation on the sustainable performance of banks, even though the intention to reuse fintech was positively correlated with that performance. Furthermore, adopting fintech services with digital awareness has a major and favorable impact on the long-term success of banks. Furthermore, we offer an examination of the impact of particular characteristics on their functionality. We conclude by talking about how the results will affect future Fintech application security.