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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| Online Access: |
Full Text (via O'Reilly/Safari) |
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| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Chichester, West Sussex, United Kingdom :
John Wiley & Sons Ltd,
2020.
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| Series: | Wiley finance editions
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| Subjects: |
MARC
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| 100 | 1 | |a Boobier, Tony, |d 1956- |e author. | |
| 245 | 1 | 0 | |a AI and the future of banking / |c Tony Boobier. |
| 264 | 1 | |a Chichester, West Sussex, United Kingdom : |b John Wiley & Sons Ltd, |c 2020. | |
| 264 | 4 | |c ©2020 | |
| 300 | |a 1 online resource (xx, 283 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 490 | 0 | |a Wiley finance editions | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "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 implications of data and analytics on their roles, responsibilities and personal career development, with focus on the use of analytics to create operational effectiveness, customer retention and finance and risk management. While a combination of theory and published case studies, it will not be a technical book (i.e. about IT architecture, platforms and algorithms) or a detailed review of a specific working area but rather an easy read for those with limited or no IT background. The book will also discuss the concept of data-driven 'Open Banking, ' which is a process that uses 'APIs' to share information securely, without having to reveal passwords. IDC say that by 2020, 50% of all businesses will be using cognitive analytics, which are intelligent and self-learning systems that respond to human voices rather than needing to be 'coded'. The use of Cognitive Analytics/Artificial Intelligence (AI) Systems and data in banking is set to accelerate. The cognitive or a 'AI' computing market is estimated to exceed $12.0 Billion by 2022, with banking identified as an 'early-mover' industry. Gartner say that AI will be mainstream for banking in 5-10 years. There is already evidence that early-mover banks are beginning to investigate these new technologies. However, there are many laggards and market maturity is inconsistent, with knowledge transfer being critical at this stage"-- |c Provided by publisher | ||
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 588 | 0 | |a Online resource; title from digital title page (viewed on May 08, 2020). | |
| 650 | 0 | |a Banks and banking |x Technological innovations. | |
| 650 | 0 | |a Artificial intelligence |x Industrial applications. | |
| 650 | 7 | |a Artificial intelligence |x Industrial applications |2 fast | |
| 650 | 7 | |a Banks and banking |x Technological innovations |2 fast | |
| 758 | |i has work: |a AI and the future of banking (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGPyrhj6jRbQyj7pP7M8wd |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Boobier, Tony, 1956- |t AI and the future of banking. |d Chichester, West Sussex, United Kingdom : John Wiley & Sons, 2020 |z 9781119596127 |w (DLC) 2020004344 |
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