AI and the future of banking

AI and the future of banking / Tony Boobier.

"AI and the Future of Banking is an informative guide on the applications of Cognitive Analytics/Artificial Intelligence (AI) to the banking industry. The book will equip any industry participant, including new entrants to the industry, with the essential information to understand the implicati...

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Bibliographic Details
Main Author: Boobier, Tony, 1956- (Author)
Format: eBook
Language:English
Published: Chichester, West Sussex, United Kingdom : John Wiley & Sons Ltd, 2020.
Series:Wiley finance editions
Subjects:
Banks and banking > Technological innovations.
Artificial intelligence > Industrial applications.
BUSINESS & ECONOMICS > Banks & Banking.
Artificial intelligence > Industrial applications
Banks and banking > Technological innovations
Online Access:Click for online access
Table of Contents:
  • Cover
  • Title Page
  • Copyright
  • Contents
  • Acknowledgements
  • About the Author
  • Introduction
  • Chapter 1 Prologue: Why Banking?
  • Summary
  • Introduction
  • What Is Banking?
  • What Do We Mean by 'Money' Today?
  • A Cashless Society Increasingly Emerges
  • Key Banking Functions
  • Future Jobs in Banking
  • Conclusion
  • References
  • Chapter 2 Imperatives in Banking
  • Summary
  • Introduction
  • Strategy and Imperatives
  • Strategy
  • Business Imperatives
  • Current Imperatives in Banking
  • Comparable Imperatives in the Retail Industry
  • Comparable Imperatives in the Telecoms Industry
  • Comparable Imperatives in the Healthcare Industry
  • Future Imperatives in Banking
  • Greater Customer Centricity
  • Becoming Truly Digital
  • Completely Accepting Technological Change
  • Reimagining Banking
  • Reinventing Risk Management
  • Conclusion
  • References
  • Chapter 3 Data and Analytics Primer
  • Summary
  • Introduction
  • Data Management and Analytics
  • Data Management
  • The Hierarchy of Analytics
  • 'Next-Generation' Cognitive Analytics
  • Extracting Value from Data
  • The Importance of Location Analytics
  • Conclusion
  • Contact Centre Service
  • Payments Monitoring
  • Mortgage Tracking
  • Sales, Compensation and Commission Management
  • Financial Markets Risk and Trade Monitoring
  • Analytics in Portfolio Management
  • Derivative Markets
  • Conclusion
  • References
  • Chapter 5 Machine Learning, AI and 'Apps'
  • Summary
  • Introduction
  • Theory and Practice of Machine Learning
  • Apps and Their Usage
  • Data Visualisation
  • Voice Recognition and Voice Assistants
  • Visual and Facial Recognition
  • Thumbprint Recognition
  • Palm Vein Recognition
  • Wealth Management Systems and Apps
  • The Biometric Moral Argument
  • Conclusion
  • References
  • Chapter 6 AI and the Importance of Brand in Banking
  • Summary
  • Introduction
  • Brand Value and Equity in Banking
  • Millennial and Gen Y Brand Expectations from Bank Brands
  • Branding Expectations of Generation Z
  • Branding Expectations of Generation X
  • Branding and Customer Experience Interlocked
  • Branding and Human-Centred Design
  • To Brand or to Debrand?
  • Banks Will Use AI to Become Lifestyle Managers
  • Consumption and Credit Smoothing
  • Conclusion
  • References
  • Chapter 7 AI Leadership and Employee Transformation

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