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Fintech Fundamentals: Big Data / Cloud Computing / Digital Economy [Mīkstie vāki]

  • Formāts: Paperback / softback, 228 pages, height x width: 229x178 mm, weight: 454 g
  • Sērija : Computer Science
  • Izdošanas datums: 20-Jul-2022
  • Izdevniecība: Mercury Learning & Information
  • ISBN-10: 1683928385
  • ISBN-13: 9781683928386
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  • Cena: 58,28 €
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Fintech Fundamentals: Big Data / Cloud Computing / Digital EconomyPalielināt
  • Formāts: Paperback / softback, 228 pages, height x width: 229x178 mm, weight: 454 g
  • Sērija : Computer Science
  • Izdošanas datums: 20-Jul-2022
  • Izdevniecība: Mercury Learning & Information
  • ISBN-10: 1683928385
  • ISBN-13: 9781683928386
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781683928386.html
Keywords:
This book examines the underlying digital technologies required to build the new digital economy. It discusses basic concepts and elements of the technologies that make a digital economy possible, such as cloud and edge computing, 5G telecommunication, blockchain, big data, and how financial technology affects both old and new industry. The book serves as a comprehensive introduction and background to anyone who is interested in the subject in order to do further research on the individual subjects included here.

FEATURES:
  • Discusses basic concepts and elements of the technologies that make a digital economy possible, such as cloud and edge computing, 5G telecommunication, blockchain, big data, and AI
  • Covers financial service industries and effects of financial technology on industry
Preface ix
Chapter 1 Introduction to the Digital Economy
1(14)
1.1 Digital Economy
1(6)
1.2 Infrastructure for the Digital Economy
7(4)
1.3 Data Center Evolution
11(4)
References
13(2)
Chapter 2 Cloud and Edge Computing
15(14)
2.1 Cloud Computing
17(2)
2.2 Edge Computing
19(2)
2.3 High-Performance Computers
21(3)
2.4 Quantum Computers and Quantum Communication
24(5)
References
26(3)
Chapter 3 5C Telecommunication
29(8)
3.1 5G Communication Technologies
29(3)
3.2 Software-Defined Network (SDN)
32(2)
3.3 Private 5G
34(1)
3.4 Beyond 5G
35(2)
References
36(1)
Chapter 4 Blockchain and Other Digital Economy Infrastructures
37(14)
4.1 IoT Devices and Sensors
37(3)
4.2 Semiconductors
40(4)
4.3 Evolution of Computers Driven by AI
44(3)
4.4 Blockchain
47(4)
References
49(2)
Chapter 5 Big Data and Artificial Intelligence
51(20)
5.1 What is Artificial Intelligence?
51(2)
5.2 How is Artificial Intelligence Created?
53(2)
5.3 Machine Learning
55(2)
5.4 Big Data
57(1)
5.5 AI Applications
58(4)
5.6 The AI Market
62(1)
5.7 Government's Role in AI
63(1)
5.8 European Approach to AI
64(1)
5.9 Fusion of AI with Biotechnology
65(2)
5.10 AI and Blockchain
67(4)
References
68(3)
Chapter 6 What's New in the Digital Economy?
71(32)
6.1 Use of Blockchain to Secure IoT Data
71(3)
6.2 Blockchain and Credit Card
74(1)
6.3 Cross-border Retail Business
75(2)
6.4 Counterparty Platform Dapps
77(2)
6.5 AML & KYC
79(1)
6.6 020 Business
80(2)
6.7 Third-Party Payment
82(8)
6.8 Mobile Wallet and Payment Transfer
90(1)
6.9 European Security Settlement Platform
91(2)
6.10 Credit Rating System
93(10)
References
99(4)
Chapter 7 Financial Services Industries
103(42)
7.1 Fintech
103(3)
7.2 Blockchain and Fintech
106(2)
7.3 Technology-Driven Fintech
108(5)
7.4 Global Fintech Landscape
113(14)
7.5 Major Global Fintech Companies
127(4)
7.6 TechFin
131(2)
7.7 Blockchain Technology for Banks
133(2)
7.8 Crowdsale and Crowd Prediction
135(2)
7.9 Building MDL for Financial Services
137(2)
7.10 Digital Currency
139(6)
References
141(4)
Chapter 8 Trading and Lending
145(16)
8.1 Security Trading
145(2)
8.2 Commodity Trading
147(1)
8.3 Energy Trading
148(2)
8.4 Alternative Trading System
150(2)
8.5 Peer-to-Peer Lending
152(3)
8.6 Online Lending
155(1)
8.7 Microlending and SME Lending
156(5)
References
158(3)
Chapter 9 Renewed Industries
161(22)
9.1 Wealth Management
161(5)
9.2 Insurance
166(3)
9.3 Supply Chain Management
169(2)
9.4 Healthcare
171(2)
9.5 Food Industry
173(1)
9.6 Defense Industry
174(2)
9.7 Cybersecurity
176(2)
9.8 Autonomous Vehicles
178(5)
References
180(3)
Chapter 10 Industrie 4.0
183(8)
10.1 The Fourth Industrial Revolution
184(1)
10.2 Equipment Automation
185(1)
10.3 Factory Automation
186(1)
10.4 Data Automation
187(2)
10.5 From Product Design to Market
189(2)
References
189(2)
Chapter 11 Smart City
191(10)
11.1 What is a Smart City?
191(3)
11.2 Smart City Projects in the World
194(2)
11.3 Smart City Project - Transportation
196(1)
11.4 Smart City Project - Utility Management
197(1)
11.5 Smart City Project - Crime Prevention
198(1)
11.6 Smart City Project - Healthcare and Disease Prevention
199(2)
References
200(1)
Chapter 12 Governance, Legal Applications, and Regulation
201(14)
12.1 Governance and Voting
201(3)
12.2 Regulatory Applications and Issues
204(2)
12.3 Overcoming Privacy Issues in Data Collection
206(1)
12.4 Land Title Registration and Real Estate
207(2)
12.5 Law and Justice
209(2)
12.6 Protection of Intellectual Property
211(4)
References
212(3)
Chapter 13 Conclusion
215(10)
13.1 Near-Future Positive Impact
215(2)
13.2 Future Job Market
217(1)
13.3 Wealth Redistribution
218(3)
13.4 Technology-Empowered Extremism
221(1)
13.5 Longer-term Impact
222(3)
References
223(2)
Index 225
Mei Len : Len Mei, Ph.D. is a senior executive in the semiconductor industry with extensive experience in quality management and technology development. He has over 20 international patents and numerous research publications.