Fintech with Artificial Intelligence, Big Data, and Blockchain
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Fintech with Artificial Intelligence, Big Data, and Blockchain

Fintech with Artificial Intelligence, Big Data, and Blockchain


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About the Book

Introduction to big data, AI and blockchain and their applications in finance

Spectrums in Financial Technologies - from instant payments to large-scale asset management

Cybersecurity and Blockchain's Use in Finance and the Efficiency Savings

Natural Language Processing Applications in Fintech

Computer Vision in Financial Technology - Security and Efficiency

Computer Vision Application - Asset Management

Advanced Deep Neural Network Structures in Sequence Modeling and Classification

Data Augmentation and Model Robustness in Sequence Classification

The Accelerated Trend of Fintech and AI in 2020

About the Author:

Dr. Paul Moon Sub Choi: Dr. Choi has served on the business faculty of Ewha (Associate Dean and Associate Professor of Finance), Cornell (Fulbright Visiting Scholar), and the State University of New York at Binghamton (lecturer). He earned a Ph.D. with a financial economics concentration and an A.M. in statistics from Cornell and Harvard Universities, respectively. He was an undergraduate economics major at Yonsei University before joining Deutsche Bank in equity research on the Korean technology industry. He has published numerous peer-reviewed research articles in leading journals and presented papers in some of the most prestigious conferences in finance and economics. His recent research areas include distributed ledger technology (blockchain), artificial intelligence, financial technology, etc. He is an advisor at various technology-based start-ups, including OrganicSmart, Lozi, Squared-S Artificial Intelligence, etc.

Dr. Seth H. Huang: Dr. Huang has over ten years of artificial intelligence (A.I.) research and financial management experiences developing large-scale fintech applications for hedging, global sentiment analysis, and risk management. Most recently, he was Director of A.I. Applications Research Center in Guangdong, China. He occasionally served on the business faculty at the State University of New York-Korea (Adjunct Professor of Finance), the Hong Kong University of Science and Technology (Adjunct Associate Professor of Finance), Ewha Womans University (Assistant Professor of Finance), and Soochow University (lecturer) designing and teaching fintech, A.I., and finance courses. He has vast cross-industry application expertise with 6 patents on A.I. predictive systems and is the founder of a quantitative trading operation, Aris Intelligence Corporation, based in New York. He earned his Ph.D. with a financial economics concentration from Cornell University.


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Product Details
  • ISBN-13: 9789813361362
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 304
  • Series Title: Blockchain Technologies
  • Weight: 666 gr
  • ISBN-10: 9813361360
  • Publisher Date: 17 Apr 2021
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Spine Width: 19 mm
  • Width: 156 mm


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