Data science and AI in FinTech: An overview

Cao, L; Yang, Q; Yu, PS

Data science and AI in FinTech: An overview

Cao, L

Yang, Q Yu, PS

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: SSRN Electronic Journal, 2021
Issue Date:: 2021-01-01

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Field	Value	Language
dc.contributor.author	Cao, L https://orcid.org/0000-0003-1562-9429
dc.contributor.author	Yang, Q
dc.contributor.author	Yu, PS
dc.date.accessioned	2022-01-19T09:56:12Z
dc.date.available	2022-01-19T09:56:12Z
dc.date.issued	2021-01-01
dc.identifier.citation	SSRN Electronic Journal, 2021
dc.identifier.issn	1556-5068
dc.identifier.issn	1556-5068
dc.identifier.uri	http://hdl.handle.net/10453/153371
dc.description.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 new-generation AI and (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.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	SSRN Electronic Journal
dc.relation.isbasedon	10.2139/ssrn.3890556
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Data science and AI in FinTech: An overview
dc.type	Journal Article
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access	*
dc.date.updated	2022-01-19T09:56:11Z
pubs.publication-status	Accepted

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 new-generation AI and (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.

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http://hdl.handle.net/10453/153371