AI and the Future of Banking

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Artificial Intelligence (AI) technologies help organisations to get smarter and more effective over time – ultimately responding to, learning from and interacting with human voices. It is predicted that by 2025, half of all businesses will be using these intelligent, self-learning systems. Across its entire breadth and depth, the banking industry is at the forefront of investigating Advanced Analytics and AI technology for use in a broad range of applications, such as customer analytics and providing wealth advice for clients. AI and the Future of Banking provides new and established banking industry professionals with the essential information on the implications of data and analytics on their roles, responsibilities and personal career development.
Unlike existing books on the subject which tend to be overly technical and complex, this accessible, reader-friendly guide is designed to be easily understood by any banking professional with limited or no IT background. Chapters focus on practical guidance on the use of analytics to improve operational effectiveness, customer retention and finance and risk management. Theory and published case studies are clearly explained, whilst considerations such as operating costs, regulation and market saturation are discussed in real-world context. Written by a recognised expert in AI and Advanced Analytics, this book:
- Explores the numerous applications for Advanced Analytics and AI in various areas of banking and finance
- Offers advice on the most effective ways to integrate AI into existing bank ecosystems
- Suggests alternative and complementary visions for the future of banking, addressing issues like branch transformation, new models of universal banking and ‘debranding’
- Explains the concept of ‘Open Banking,’ which securely shares information without needing to reveal passwords
- Addresses the development of leadership relative to AI adoption in the banking industry
Content
CHAPTER 2. Imperatives in Banking
CHAPTER 3. Data and Analytics Primer
CHAPTER 4. Key Elements of Banking Analytics
CHAPTER 5. Machine Learning, AI and ‘Apps’
CHAPTER 6. AI and the Importance of Brand in Banking
CHAPTER 7. AI Leadership and Employee Transformation
CHAPTER 8. The Bank of the Future
CHAPTER 9. Open Banking and Blockchain
CHAPTER 10. Innovation and Implementation
CHAPTER 11. Cybercrime and IT Resilience
CHAPTER 12. Epilogue
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