The AI Book: The Artificial Intelligence Handbook for Investors, Entrepreneurs and Fintech Visionaries (Paperback)

Preface

About the Author

Acknowledgements

Part 1 – AI Need to Know

Chapter 1: Chee-We Ng - The Future of AI in Finance

Chapter 2: Terence Tse - What is AI and how to make it work for you

Chapter 3: Matt Allan - Getting to Day Zero: Let’s Get the Foundation Right

Chapter 4: Andreas Pusch - Navigating a sea of information, news and opinion with Augmented Human Intelligence

Chapter 5: Luis Rodriguez - The seven deadly sins of AI

Chapter 6: Lubna Yusuf - A New Internet, Data Banks and Digital World War

Chapter 7: Bonnie Buchanan - AI – A Cross Country Analysis of China versus the West

Chapter 8: Barbara Matthews - The AI Advantage: Near-Term Workforce Opportunities & Challenges

Chapter 9: Dr Sabine Dembkowski - The Art of Involving Boards in Embracing AI

Part 2 – Deposits & Lending

Chapter 10: Joshua Xiang - AI in Lending

Chapter 11: Lei Jianxiong - Financial Technology and China's Inclusive Finance

Chapter 12: Anindya Karmakar - The Future of Deposits and Lending

Chapter 13: Pouya Jamshidiat - Applications of AI in Deposits and Lending

Chapter 14: Yvon Moysan - Showcase and Customer Service: leveraging chatbots in the banking industry

Chapter 15: Nadia Sood - The power of AI to transform the global SME credit landscape

Chapter 16: Mihriban Ersen Tekmen - Using AI for Credit Assessment in Underserved Segments

Chapter 17: Ben Gilburt, Sopra Steria – Why Video Games might help you buy your first house

Chapter 18: Charlette Desire - AI Opportunities in the African Financial Sector: use-cases

Part 3 - Insurance

Chapter 19: Shân M. Millie – Insurance & AI: Choices in Leadership, Purpose & Trust

Chapter 20: Srivathsan Karanai Margan - Drifting into Algocratic Insurance?

Chapter 21: Hendrik Abel, Consultant - Moving the AI needle –Strategies for health insurers to put AI into practice

Chapter 22: Parul Kaul-Green - AI & Healthcare: Doctor will FaceTime you now!

Chapter 23: Hamzah Chaudhary - Using Artificial Intelligence in commercial underwriting to drive productivity growth

Chapter 24: Ron Glozman - The Digitally-Enabled Underwriter: How AI is Transforming Commercial Insurance Underwriting

Chapter 25: Jeff Manricks - Improving Policy Lifecycle Management with AI and Data Science

Chapter 26: Abhineet Sarakar - Disrupting the Insurance Value Chain

Chapter 27: Nigel Walsh - Cutting to the chase: mapping AI to the real-world Insurance Value Chain

Part 4 - Payments

Chapter 28: Tamsin Crossland - Artificial Intelligence: The next leap forward in the Payments Revolution

Chapter 29: Theodore Lloyd - Frictionless payments: if or when?

Chapter 30: Omri Dubovi - Big Data, AI and Machine Learning:  how to unlock their potential in the new payment environment

Chapter 31: Anna Maj - The Rise of Conversational AI Platforms

Chapter 32: Sotiris Melioumis - Two Dimensional Virtual Vertical Integration: Solving the impossible SC problem

Part 5 – Investment Management

Chapter 33: Paolo Sironi - The true value of AI to transform push-pull Wealth Management offers

Chapter 34: Patrick Rotzetter - Machine Learning in Digital Wealth Management

Chapter 35: Martina Macpherson and Kalyani Inampudi - The impact of AI on ESG: implications for the Investment Value Chain

Chapter 36: Nilesh Gopali & Hasik Shetty - AI in Indian Investment & Asset Management: Global perspective

Chapter 37: Yaron Golgher, Dr. Lipa Roitman and Denis Khoronenko - Finding Order In The Chaos: Investment Selection Using AI

Chapter 38: Richard Saldanha - Dispelling the Illusion

Chapter 39: JB Beckett - ETF2.0: Mega Block Chains with AI

Chapter 40: Jerry Floros - Fear & Greed

Part 6 – Capital Markets

Chapter 41: Aric Whitewood - Introduction to Capital Market

Chapter 42: Hamza Bayouni - AI, Machine Learning and the Financial Service Industry: A Primer

Chapter 43: Prashant Gandhi - Compliance as an Outcome

Chapter 44: Axel Coustere - A Review of AI in Use in Capital Markets

Chapter 45: Alejandra M. J. Litterio - Alternative Data and MetaQuants: making the most of Artificial Intelligence for visionaries in Capital Markets

Chapter 46: Karan Jain - AI & Capital Markets: Where to Now?

Part 7 – AI & Ethics

Chapter 47: Reema Patel - Trust in Fintech — some introductory reflections

Chapter 48: Trish Shaw - Building Trust through sound governance

Chapter 49: Brian Tang - Independent AI ethics committees and ESG corporate reporting on AI as emerging corporate and AI governance trends

Chapter 50: Esther Lancaster - The Wisdom Standard

Chapter 51: Daniel Liebau & Tiffany Wong - AI and business ethics in Financial Markets

Chapter 52: Kevin Telford - AI Trust, Ethics, Transparency and Enablement

Chapter 53: Aarón Olmos - Invisible hand, spontaneous order and artificial intelligence

Chapter 54: Kathryn Rungrueng - Transforming Black Box AI in the Finance Industry: Explainable AI that is Intuitive and Prescriptive

Chapter 55: Peggy Tsai - Making Data Your Most Valuable Asset

Chapter 56: Kasia Miaskiewicz, Fabian Tschirky, James Aylen, Martin Hartenstein & Jonas Isliker - The data promise

Part 8 – Legal Risk & Regulation

Chapter 57: Electra Japonas - AI and the Law: Challenges and Risks for the Financial Services Sector

Chapter 58: Christian Spindler - Algorithm Assurance

Chapter 59: Tim Molton - Regulation of AI within the Financial Services Sector

Chapter 60: Ligia Catherine Arias-Barrera - Is Risk-based Regulation the Most Efficient Strategy to Rule the Unknown Risks Brought by FinTech?

Chapter 61: Shailendra Malik - The Changing Face of Regulatory, Compliance & Audit

Chapter 62: Michael Berns - Robocop on Wall Street

Chapter 63: Elif Kocaoglu Ulbrich - Sure, AI can Answer our Questions — but who will Answer our Questions?

Chapter 64: Poornima Bushpala - Technology for Regulations & Compliance: Fit4future!

Part 9 – The future of AI in Finance

Chapter 65: Professor Andy Pardoe - Welcome to the future

Chapter 66: Richard Foster-Fletcher - An AI-embedded financial future

Chapter 67: Cesar J. Richardson - Open banking, Blockchain & AI: the building blocks for Web 3.0

Chapter 68: Andreas Deppeler - Automated Machine Learning & Federated Learning

Chapter 69: David Coker - Deep Learning and Financial Regulation

Chapter 70: Susan Holliday - AI for Development & Prosperity

Chapter 71 Rube Huljvev - The AI trends that will shape winning businesses

Chapter 72: Sofia Klapp - Mastering the AI talent transformation: present and future

Chapter 73: Duena Blomstrom - Humans versus machines: who will still have a job in 50 years?

Chapter 74: Samiran Ghosh - Is AI ready for morality?

Chapter 75: David Gyori - Confessions of an AI Portfolio Manager

List of Contributors

Index