AI & Quantum Computing for Finance & Insurance: Fortunes and Challenges for China and America (Singapore University of Social Sciences - World Scientific Future Economy Series - Volume 1)

Contents
Acknowledgments
Introduction
Part 1: How to Escape the Corporate Lizard Brain: The True Role of AI
	Chapter 1: Purpose of AI: Naming and Shaming the Corporate Lizard Brain — One Meeting at a Time
		1.1 How Us Frail Humans Can Make Peace with AI
		1.2 Cognitive Bias (Human Blind Spots): Humans Need AI as a Recall for Our Defects
		1.3 Artificial Intelligence
	Chapter 2: Case Study: US vs PRC in the Banking Lizard Brain Shift to AI FinTech Machines
		2.1 Introduction
		2.2 Summary
		2.3 AI and Finance: China Gets It While the US is Years Behind
		2.4 Gaping Holes in the Landscape
		2.5 Other Issues: Politics, Policy and Regulation
		2.6 Master Summary: AI Analysis
		2.7 Master Summary: How the Ecosystems are Evolving
		2.8 Project Conclusions: Why China Has Pulled Ahead
		2.9 Master Summary: Ranking for AI, Financials, and Valuations
		2.10 Master Summary: Strategic Direction
		2.11 Master Summary: Research and Development — Strategic Development
		2.12 Master Summary: Cash Flow, M&A, Capex
		2.13 Master Summary: Credit Check
Part 2: Banking and Insurance Transformation in the US, China, and Southeast Asia
	Chapter 3: How the Mighty are Learning to Change: Who is Evolving and Who is Dying
	Chapter 4: New Entrants and Traditional Banks are (Finally) Trading in Lizard Brains for an Upgrade
		4.1 The Empire Strikes Back: Can Big Banks, Insurance and Telecom Make a Comeback in Financial Technology?
			4.1.1 Banks
			4.1.2 Insurance
			4.1.3 Telecom
		4.2 Conclusion
	Chapter 5: Banking on the Transformation of Blockchain
		5.1 Why Banks Lost and How to Fix It
	Chapter 6: Blockchain Disrupts Http and SWIFT
		6.1 Introduction
		6.2 Blockchain and Distributed Ledger
		6.3 Blockchain Protocols
		6.4 Blockchain Layer
		6.5 Blockchain in Cryptocurrency
		6.6 Blockchain in Computing
		6.7 Blockchain in Finance
		6.8 Applications for Financial Services
		6.9 Blockchain for Enterprise
		6.10 Blockchain for Social Media
		6.11 Blockchain for Government
		Appendix
Part 3: Global Leadership in the Transformation with AI and Banking/Insurance
	Chapter 7: Alibaba vs Tencent: The Great Race
		7.1 The Battle of Chinese Tech Giants
		7.2 Summary
	Chapter 8: Ping An: Blazing New Trails and Connecting the Dots
		8.1 Introduction
	Chapter 9: Huawei and the Global Landscape in 5G and Cloud
		9.1 Huawei: The R&D Nerve Center of China
		9.2 Geographical Reach and Landscape
		9.3 Telecoms Infrastructure: 5G
		9.4 Networks Infrastructure: Intent-Driven Network
		9.5 Conclusion
	Chapter 10: India: Walmart, Amazon, Alibaba, and Tencent in India: WHAT the Hell is Going on?
		10.1 Summary
		10.2 Amazon
		10.3 Groceries
		10.4 Other Online Retail
		10.5 Streaming Media
		10.6 Web Services
		10.7 Logistics
		10.8 Alibaba in India
		10.9 Walmart–Flipkart
		10.10 Online Data, Offline Data, Walmart Pay and the Data Café
		10.11 Case Studies for Analytics Application and Streamlined Customer Experience
		10.12 Flipkart Pvt. Ltd.
		10.13 Flipkart Impact on Walmart
		10.14 Walmart and Tencent
		10.15 Tencent India
Part 4: How New Technologies Will Revolutionize the Infinity of Digital Signals Out There
	Chapter 11: Quantum Computing: It is Around the Corner — Get Ready!
		11.1 Introduction
		11.2 The Journey from Classical Computers to Quantum Computers (QCs)
		11.3 Physics of Quantum Computers
		11.4 The Hardware of Quantum Computing
			11.4.1 History and Overview of Quantum Computers
			11.4.2 What is a Qubit?
			11.4.3 Adiabatic Quantum Computers
			11.4.4 Universal Quantum Computers
			11.4.5 Hybrid
			11.4.6 Summary
		11.5 Algorithms
			11.5.1 Quantum Parallelism
			11.5.2 Grover’s Algorithm
			11.5.3 Shor’s Algorithm
			11.5.4 Summary
		11.6 Software
			11.6.1 IBM-Q Experience
			11.6.2 QbSolv
			11.6.3 Open Source
		11.7 Applications
			11.7.1 Biochemistry
				11.7.1.1 Modelling
				11.7.1.2 Drug Discovery
				11.7.1.3 Radiology
				11.7.1.4 Materials Production
			11.7.2 Finance and Business
				11.7.2.1 High-Frequency Trading
				11.7.2.2 Optimization
			11.7.3 Technology
				11.7.3.1 Artificial Intelligence
				11.7.3.2 Blockchain and Cryptocurrencies
			11.7.4 Government
				11.7.4.1 Security
				11.7.4.2 Weather
			11.7.5 Summary
		11.8 Current Development and the Future
			11.8.1 Error Correction
			11.8.2 D-Wave 2000Q
			11.8.3 Google Bristlecone
			11.8.4 IBM
			11.8.5 Intel Tangle Lake
			11.8.6 Global Race
			11.8.7 The Complicated Reality
		Bibliography
	Chapter 12: Cloud Wars: Alicloud vs AWS and Azure (and What Huawei Wants to Do About It)
		12.1 Cloud Market Overview: Global and China
		12.2 Cloud Services Comparisons
	Chapter 13: Insurtech: Digitizing Head, Health, Hands and Heart
		13.1 Introduction
			13.1.1 Introduction: The Problem is Losing Track of Customers as New Technology Explodes
		13.2 Why This Massive Shift is Happening: Millennials are a Different Species Than Boomers
		13.3 Millennials: Individual, Diversed, Toughened
		13.4 Summary Comparison: Homo Digitalis (Millennial) vs Homo Papyrus (Boomer)
		13.5 Implications for Insurance Products
		13.6 How This Massive Shift is Happening: He Who is Flexible and Controls the Data Will Win
		13.7 Five Ways to Understand the Customer in the New World of Data
		13.8 How Insurance Companies Can Restructure Their Process by Analysis of Business Lines
		13.9 The New Foundation of Data: Blockchain and the Challenge to Insurance
		13.10 A Significant Change in Products and Processes is Needed Now
		13.11 Products Will Bleed into Each Other
Part 5: Singapore Back in the Game When the Titans Clash: Will it be SMART Enough?
	Chapter 14: Singapore: An Outsider and Smart Nation Back in the Game!
		14.1 Introduction
		14.2 It All Began in 2014: Silicon Valley and Singapore
		Further References
		Acknowledgment
Appendix:
	1. Alibaba
	2. Ping An
	3. Tencent
	4. Baidu
	5. Zhong An
	6. Softbank
	7. Amazon AI
	8. Google
	9. Apple
	10. Facebook
	11. Microsoft AI