Data science and AI in FinTech: an overview
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AISDR can benefit from the practice and lessons learned from successful AIDS applications in other domains such as AI in finance.
“AISDR can benefit from the practice and lessons learned from the successful AIDS applications in other domains such as AI in finance [6].”
From AI and data science for smart emergency, crisis and disaster resilience. (2023) · cites this paper as [6]
Lessons from successful AI and data science applications in other domains lead to a new-generation smart emergency, crisis, and disaster resilience framework.
“Taking the lessons learned from successful AIDS applications in other domains [5, 6], a new-generation smart ECD resilience framework emerges.”
From AI and data science for smart emergency, crisis and disaster resilience. (2023) · cites this paper as [6]
With advanced AI and data science, the mitigation, preparedness, response, and recovery framework can be personalized, strengthened, and upgraded with intelligence toward more proactive, active, fine-grained, tailored, and full-life-span-oriented emergency, crisis, and disaster resilience.
“With advanced AIDS (including shallow and deep machine learning and analytics), the MPRR framework can be further personalized, strengthened and upgraded with intelligence toward more proactive, active, fine-grained, tailored, and full life span-oriented ECD resilience.”
From AI and data science for smart emergency, crisis and disaster resilience. (2023) · cites this paper as [6]
Section 3, “The smart FinTech ecosystem” (page unavailable), discusses using data science and AI to predict and mitigate financial crises. Searches for the MPRR framework, emergency and disaster resilience, and full-life-span ECD resilience found no passage addressing the attributed claim. (LLM, conf=0.76)
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Cited by
Sorted by citations
AI and data science for smart emergency, crisis and disaster resilience.
Cao, L. (2023) · International journal of data science and analytics · doi:10.1007/s41060-023-00393-w · Cited by 102 · see citing works
“Taking the lessons learned from successful AIDS applications in other domains [5, 6], a new-generation smart ECD resilience”
BackgroundSelf-citation
- Authors
- Cao, L., Yang, Q., & Yu, P. S.
- Affiliations
- University of Technology Sydney (AU)
- Hong Kong University of Science and Technology (HK)
- University of Illinois Chicago (US)
- Corresponding author
- Cao, Longbing
- Venue
- International Journal of Data Science and Analytics
- Published
- 2021-08
- Volume
- 12
- Issue
- 2
- Pages
- 81-99
- ISSN
- 2364-415X (ISSN-L)
- 2364-4168
- OpenAlex
- W3192184597
- Cited by
- 238
- References
- 70
- Citations by year
- 2026: 48 · 2025: 71 · 2024: 66 · 2023: 35 · 2022: 15 · 2021: 2 · 2020: 1
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Journal of Data Science and Analytics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- arXiv (Cornell University) (submittedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › FinTech, Crowdfunding, Digital Finance
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Digital Transformation in Financial Services
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Keywords
- fintech, data science, artificial intelligence, banking technology, lending technology, insurtech, WealthTech, risk management, cryptocurrency, blockchain, federated learning, deep learning, financial services automation
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