The AI book : the artificial intelligence handbook for investors, entrepreneurs and FinTech visionaries / edited by Susanne Chishti, Ivana Bartoletti, Anne Leslie, Shan M. Millie.

Includes bibliographical references and index.

Preface; About the Editors; Acknowledgements; 1. AI: Need to Know. The Future of AI in Finance. What is AI and How to Make It Work for You. Getting to Day Zero: Let's Get the Foundation Right. Navigating a Sea of Information, News and Opinion with Augmented Human Intelligence. The Seven Deadly Sins of AI. A New Internet, Data Banks and Digital World War. AI: A Cross Country Analysis of China versus the West. The AI Advantage: Near-Term Workforce Opportunities and Challenges. The Art of Involving Boards in Embracing AI; 2. Deposits and Lending. AI in Lending. Financial Technology and China's Inclusive Finance. The Future of Deposits and Lending. Applications of AI in Deposits and Lending. Showcase and Customer Service: Leveraging Chatbots in the Banking Industry. The Power of AI to Transform the Global SME Credit Landscape. Using AI for Credit Assessment in Underserved Segments. Why Video Games Might Help You Buy Your First House. AI Opportunities in the African Financial Sector: Use Cases; 3. Insurance. Insurance and AI: Choices in Leadership, Purpose and Trust. Drifting into Algocratic Insurance? Moving the AI Needle: Strategies for Health Insurers to Put AI into Practice. AI and Healthcare: Doctor Will FaceTime You Now! Using Artificial Intelligence in Commercial Underwriting to Drive Productivity Growth. The Digitally-Enabled Underwriter: How AI is Transforming Commercial Insurance Underwriting. Improving Policy Life Cycle Management with AI and Data Science. Disrupting the Insurance Value Chain. Cutting to the Chase: Mapping AI to the Real-World Insurance Value Chain; 4. Payments. Artificial Intelligence: The Next Leap Forward in the Payments Revolution. Frictionless Payments: If or When? Big Data, AI and Machine Learning: How to Unlock Their Potential in the New Payment Environment. The Rise of Conversational AI Platforms. Two Dimensional Virtual Vertical Integration: Solving the Impossible SC Problem; 5. Investment and Wealth Management. The True Value of AI to Transform Push/Pull Wealth Management Offers. Machine Learning in Digital Wealth Management. The Impact of AI on Environmental, Social and Governance (ESG) Investing: Implications for the Investment Value Chain. AI in Indian Investment and Asset Management: Global Perspective. Finding Order in the Chaos: Investment Selection Using AI. Dispelling the Illusion. ETF 2.0: Mega Block Chains with AI. Fear and Greed; 6. Capital Markets. Introduction on AI Approaches in Capital Markets. AI, Machine Learning and the Financial Service Industry: A Primer. Compliance as an Outcome. Alternative Data and MetaQuants: Making the Most of Artificial Intelligence for Visionaries in Capital Markets. AI and Capital Markets: Where to Now?; 7. Trust, Transparency and Ethics. Trust in FinTech and AI: Some Introductory Reflections. Building Trust through Sound Governance. Independent AI Ethics Committees and ESG Corporate Reporting on AI as Emerging Corporate and AI. Governance Trends. The Wisdom Vantage. AI and Business Ethics in Financial Markets. AI Trust, Ethics, Transparency and Enablement. Invisible Hand, Spontaneous Order and Artificial Intelligence. Transforming Black Box AI in the Finance Industry: Explainable AI that is Intuitive and Prescriptive. Making Data Your Most Valuable Asset. The Data Promise; 8. Legal Risk and Regulation. AI and the Law: Challenges and Risks for the Financial Services Sector. Algorithm Assurance. Regulation of AI within the Financial Services Sector. Is Risk-Based Regulation the Most Efficient Strategy to Rule the Unknown Risks Brought by FinTech?. The Changing Face of Regulatory, Compliance and Audit. Robocop on Wall Street. Sure, AI Can Answer Our Questions -- But Who Will Answer Our Questions About AI?. Technology for Regulations and Compliance: Fit4Future!; 9. The Future of AI in Finance. Welcome to the Future. An AI-Embedded Financial Future. Open Banking, Blockchain and AI: The Building Blocks for Web 3.0. Automated Machine Learning and Federated Learning. Deep Learning and Financial Regulation. AI for Development and Prosperity. The AI Trends That Will Shape Winning Businesses. Mastering the AI Talent Transformation: Present and Future. Humans versus Machines: Who Will Still Have a Job in 50 Years?. Is AI Ready for Morality?. Confessions of an AI Portfolio Manager; Appendix; List of Contributors; Index.

"Written by prominent thought leaders in the global fintech investment space, The AI Book aggregates diverse expertise into a single, informative volume. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: Understanding the AI Portfolio: from machine learning to chatbots, from neurotrophic computing to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI. AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today's Financial Services Industry. The future state of financial services and markets -- what's next for the real-world implementation of AITech? The innovating customer -- users are not waiting for the financial services industry to work out how #AI can re-shape their sector, profitability and competitiveness. Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the 'unbundled corporation' & the future of work, social responsibility, sustainability, and the new leadership imperatives"--Provided by publisher.