The AI Book : the artificial intelligence handbook for investors, entrepreneurs and FinTech visionaries

Intro -- Copyright -- Title Page -- Preface -- About the Editors -- Acknowledgements -- Part 1 AI: Need to Know -- Chapter 1 The Future of AI in Finance -- The Promise of Deep Learning -- Business Applications in Finance -- Time for a Reality Check -- Safeguards and Systemic Risk -- Chapter 2 What Is AI and How to Make It Work for You -- 1. Be Narrow Minded -- 2. Weigh the Risk -- 3. Get the "Last Mile" Right -- 4. Consider That Less Data May Mean More -- 5. Do Your Homework -- Note -- Chapter 3 Getting to Day Zero: Let's Get the Foundation Right -- Challenge 1: A House Built on Sand -- Challenge 2: The Digital Transformation Dilemma -- Opportunity 1: Share Your Data with the World -- Opportunity 2: The Alternative Data Revolution -- A Bright Future -- Notes -- Chapter 4 Navigating a Sea of Information, News and Opinion with Augmented Human Intelligence -- Making Sense out of Complex Text through Natural Language Processing (NLP) -- Ontologies Link Entities and Thus Create Valuable Connections -- How Augmented Human Intelligence Will Change the Way We Read News and Inform Ourselves -- Note -- Chapter 5 The Seven Deadly Sins of AI -- Data -- Research Failure -- Bias -- Explainability -- Emotion -- Ethics -- Organizational Readiness -- Conclusion -- Chapter 6 A New Internet, Data Banks and Digital World War -- The Future of Artificial Intelligence -- Reinventing How We Invent -- AI Neural Network -- The Human API and Digital War: World War III -- Chapter 7 AI: A Cross Country Analysis of China versus the West -- Notes -- Chapter 8 The AI Advantage: Near-Term Workforce Opportunities and Challenges -- Backdrop -- Enhanced Cognition: The Good News -- Macro-Trend Analysis of Workforce Challenges -- Pragmatic Suggestions for a Way Forward -- Conclusion -- Notes -- Chapter 9 The Art of Involving Boards in Embracing AI.