Overview
- Provides a comprehensive overview of Artificial Intelligence in China's financial industry
- Quick understanding the application of AI Technology in Financing in China
- Presents specific Artificial Financial Intelligence application cases of China
Part of the book series: Financial Mathematics and Fintech (FMF)
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About this book
This book starts from the application scenarios of artificial financial intelligence regulation, commercial banking, wealth management and payments, etc., and makes a detailed study of the main scenarios of the application of China's artificial intelligence in the financial field, and also analysis specific application cases of China.
With the popularization of smart phones and the rapid development of e-commerce, mobile payment, big data and other technologies are in the ascendant in China in recent years. In particular, artificial intelligence technologies in the form of facial, speech and semantic recognition are showing preliminary advantages in the field of FinTech, and the future era of Intelligent Finance has quietly come. The Chinese government has clearly put forward "China should rely on a robust cycle of domestic demand and innovation as the main driver of the economy while maintaining foreign markets and investors as a second engine of growth", science and technology innovation is the basic motivation of economic and social cycle, to implement the " dual circulation strategy ", it is necessary to understand the key role of scientific and technological innovation in financial innovation services, and improve financial services must be driven by science and technology. There is a natural relationship between artificial intelligence and financial services, because financial services are credit and information intermediaries, and data is the most critical for finance, while artificial intelligence has a super ability in dealing with complex data. At present, many Chinese Banks have applied artificial intelligence to their daily operations and management, such as accurate customer identification, enhanced process tracking, intelligent marketing, and product process transformation, so as to simplify financial service processes and shorten service cycles.
In General, this book both pays attention to practical application and theoretical, which is a useful reference book in theoretical research and practical work, and also helps readers to understand the application of intelligent finance in China.
With the popularization of smart phones and the rapid development of e-commerce, mobile payment, big data and other technologies are in the ascendant in China in recent years. In particular, artificial intelligence technologies in the form of facial, speech and semantic recognition are showing preliminary advantages in the field of FinTech, and the future era of Intelligent Finance has quietly come. The Chinese government has clearly put forward "China should rely on a robust cycle of domestic demand and innovation as the main driver of the economy while maintaining foreign markets and investors as a second engine of growth", science and technology innovation is the basic motivation of economic and social cycle, to implement the " dual circulation strategy ", it is necessary to understand the key role of scientific and technological innovation in financial innovation services, and improve financial services must be driven by science and technology. There is a natural relationship between artificial intelligence and financial services, because financial services are credit and information intermediaries, and data is the most critical for finance, while artificial intelligence has a super ability in dealing with complex data. At present, many Chinese Banks have applied artificial intelligence to their daily operations and management, such as accurate customer identification, enhanced process tracking, intelligent marketing, and product process transformation, so as to simplify financial service processes and shorten service cycles.
In General, this book both pays attention to practical application and theoretical, which is a useful reference book in theoretical research and practical work, and also helps readers to understand the application of intelligent finance in China.
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Keywords
Table of contents (8 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the authors
Zhao Dawei, Research Fellow, Ph.D. in Economics, is currently the Deputy Secretary General of the FinTech Research Center of the Financial Research Institute of the People's Bank of China. He holds Bachelor, Master and Doctorate degree of economics all from Central University of Finance and Economics. In 2009, funded by China Scholarship Council, as a visiting scholar, he went to the State University of New York. After Dr. Zhao has join into the People's Bank of China Financial Research Institute in 2011, he has won the First Award of the “Youth Research Project 2019" of the People's Bank of China, the First Award of the "2017-2018 the PBC FinTech Research Project" by FinTech Committee of the People's Bank of China, and the First Award of the "2018 FinTech Youth Thesis" by FinTech Research Center of National Institution for Finance & Development. With a long-term focus on FinTech and RegTech, Dr. Zhao has published more than 50 academic papers. As the author and co-author, Dr. Zhao has compiled “Technology Rebuild Finance: FinTech Utilization and Perspective”, “Chained Future: Blockchain Theory and Application”, “Development Trends and Supervision of FinTech”, “China FinTech Annual Report (2018, 2019, 2020)”, “Annual Report on China's RegTech Development (2019, 2020)”, and other works.
Zhang Wenting, PhD in Finance and Investment of Durham University of UK, is currently Senior Research Fellow of the Financial Research Institute of the People's Bank of China. Dr. Zhang is mainly engaged in the research of International Finance, Inclusive Finance, FinTech and the relative policy suggestions. Academic research focuses on the reform of RMB exchange rate system, foreign exchange movement and exchange rate microstructure. She has won the Best Doctoral Thesis Award of Durham University Business School. Dr. Zhang has participated in many domestic and international academic conferences, she has compiled and translated books such as “Bank Credit Operation Management”, “China Community Bank Management”, “Why Not Default” and other works. Dr. Zhang has published dozens of academic papers or articles published on top domestic and international journals, such as International Review of Financial Analysis, China Finance, etc.
Zhang Wenting, PhD in Finance and Investment of Durham University of UK, is currently Senior Research Fellow of the Financial Research Institute of the People's Bank of China. Dr. Zhang is mainly engaged in the research of International Finance, Inclusive Finance, FinTech and the relative policy suggestions. Academic research focuses on the reform of RMB exchange rate system, foreign exchange movement and exchange rate microstructure. She has won the Best Doctoral Thesis Award of Durham University Business School. Dr. Zhang has participated in many domestic and international academic conferences, she has compiled and translated books such as “Bank Credit Operation Management”, “China Community Bank Management”, “Why Not Default” and other works. Dr. Zhang has published dozens of academic papers or articles published on top domestic and international journals, such as International Review of Financial Analysis, China Finance, etc.
Bibliographic Information
Book Title: Artificial Financial Intelligence in China
Authors: Dawei Zhao, Wenting Zhang
Series Title: Financial Mathematics and Fintech
DOI: https://doi.org/10.1007/978-981-16-5592-0
Publisher: Springer Singapore
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-5591-3Published: 28 October 2021
Softcover ISBN: 978-981-16-5594-4Published: 29 October 2022
eBook ISBN: 978-981-16-5592-0Published: 27 October 2021
Series ISSN: 2662-7167
Series E-ISSN: 2662-7175
Edition Number: 1
Number of Pages: XIV, 192
Number of Illustrations: 6 b/w illustrations, 14 illustrations in colour
Topics: Macroeconomics/Monetary Economics//Financial Economics