Data science and AI in FinTech: an overview

Longbing Cao*, Qiang Yang, Philip S. Yu

*Corresponding author for this work

Research output: Contribution to journalEditorial

62 Citations (Scopus)

Abstract

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 artificial intelligence (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.

Original languageEnglish
Pages (from-to)81-99
Number of pages19
JournalInternational Journal of Data Science and Analytics
Volume12
Issue number2
DOIs
Publication statusPublished - Aug 2021
Externally publishedYes

Keywords

  • Financial technology
  • FinTech
  • Financial service
  • Smart FinTech
  • Finance
  • Economics
  • Blockchain
  • Data science
  • Artificial intelligence (AI)
  • Intelligent systems
  • Machine learning
  • Deep learning
  • Federated learning
  • Privacy-preserving
  • Modeling
  • Mathematics
  • Statistics

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