Data science and AI in FinTech: An overview
Cao, L., Yang, Q. & Yu, P.S. Data science and AI in FinTech: an overview. Int J Data Sci Anal (2021). https://doi.org/10.1007/s41060-021-00278-w
20 Pages Posted: 29 Jul 2021 Last revised: 10 Aug 2021
Date Written: July 21, 2021
Financial technology (FinTech) has been playing an increasingly critical role in driving modern economies, society, technology, and many other areas. Smart FinTech is the new-generation FinTech, largely inspired and empowered by data science and new-generation AI (DSAI) techniques. Smart FinTech synthesizes broad DSAI and transforms finance and economies to drive intelligent, automated, whole-of-business and personalized economic and financial businesses, services and systems. The research on data science and AI in FinTech involves many latest progress made in smart FinTech for BankingTech, TradeTech, LendTech, InsurTech, WealthTech, PayTech, RiskTech, cryptocurrencies, and blockchain, and the DSAI techniques including complex system methods, quantitative methods, intelligent interactions, recognition and responses, data analytics, deep learning, federated learning, privacy-preserving processing, augmentation, optimization, and system intelligence enhancement. Here, we present a highly dense research overview of smart financial businesses and their challenges, the smart FinTech ecosystem, the DSAI techniques to enable smart FinTech, and some research directions of smart FinTech futures to the DSAI communities.
Keywords: Financial technology, FinTech, Financial service, Smart FinTech, Finance, Economics, Blockchain, Data science, AI, Intelligent systems, Machine learning, Deep learning, Federated learning, Privacy-preserving, Modeling, Mathematics, Statistics, Ethics
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