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AI Book: The Artificial Intelligence Handbook for Investors, Entrepreneurs and FinTech Visionaries [Pehme köide]

Edited by , Editor-in-chief , Edited by , Edited by
  • Formaat: Paperback / softback, 304 pages, kõrgus x laius x paksus: 190x245x15 mm, kaal: 666 g
  • Ilmumisaeg: 07-May-2020
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1119551900
  • ISBN-13: 9781119551904
Teised raamatud teemal:
  • Pehme köide
  • Hind: 28,04 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 32,99 €
  • Säästad 15%
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  • See raamat ei ole veel ilmunud. Raamatu kohalejõudmiseks kulub orienteeruvalt 2-4 nädalat peale raamatu väljaandmist.
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  • Kogus:
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Formaat: Paperback / softback, 304 pages, kõrgus x laius x paksus: 190x245x15 mm, kaal: 666 g
  • Ilmumisaeg: 07-May-2020
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1119551900
  • ISBN-13: 9781119551904
Teised raamatud teemal:
Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. 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, 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 capital 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 - Ethical considerations of deploying Al solutions and why explainable Al is so important
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: Shan 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: Aaron 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

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