Advanced Analytics and AI

TONY BOOBIER is a former worldwide executive at IBM focusing on financial services. With over 30 years of experience, he is a frequent writer and international public speaker. He possesses a deep understanding of how to apply business intelligence and analytics to enhance the management and delivery of products and services in numerous industries. A recognised expert in customer analytics, risk and operational effectiveness, he's a strong advocate for enterprise-wide analytics to improve service and reduce cost. A Fellow of the Chartered Institute of Civil Engineers and the Chartered Institute of Marketing, coupled with qualifications in insurance and supply chain management, he is also the author of Analytics for Insurance.

Acknowledgments


Preamble: Wellington and Waterloo


Introduction


Prologue: What Do We Mean by Work?


Summary


Introduction


Slavery or Freedom


The Rise of Industrialisation


Gen Z and the Flat White Society


The Impact of Unemployment


Replacing the Need to Work


Conclusion


Notes


1. Introduction to Analytics


Summary


Introduction


Business Intelligence


Advanced Analytics


Prescriptive Analytics


Business Rules


Cognitive Analytics


The Accuracy of Analytical Outputs


Conclusion


Notes


2. Artificial Intelligence


Summary


Introduction


The Turing Test


The Dartmouth Event


Post-Dartmouth, the AI Winter, and Singularity


Springtime for AI?


How Does AI Work?


Can Computers Be Creative?


Conclusion


Notes


3. The Impact of AI on Leading-Edge Industries


Summary


Introduction


Financial Services


Retail Banking


Commercial Banking


Investment Banking


Wealth Management


Insurance


Automobiles


AI Implementation Timeline


Key Developments


Innovating to Zero


AI and Motor Manufacturing


Media, Entertainment, and Telecom


Retail


Conclusion


Notes


4. The Impact of AI on Second-Mover Industries


Summary


Introduction


Construction


Augmented Reality


Drones and Remote Imagery


Contractor Plant and Equipment


Employee Behaviour


Cultural Change in Construction


Utilities and Infrastructure Resilience


Construction Industry Summary


Utilities


Electrical Power


Gas


Water


Wastewater


Smart Homes, Smart Infrastructure?


Interconnectivity, Poverty, and Famine


Public Services


Education


Policing


Health Care


Agriculture


Technology Industry


Conclusion


Notes


5. The Impact of AI on Professions


Summary


Introduction


Work and Professions


The Importance of Competences


The Morevec Paradox and Why It Threatens Professionals


Management


Office of Finance


Legal Profession


Sales and Marketing


Retailers


Commercial Media


Creative Arts


Publishing


Transportation


Digital Railways


Autonomous Flight and Virtual Pilots


Air Traffic Controllers


Engineers and the Built Environment


Building Engineers


Building Planners


Medical Profession


General Practitioners


Dentists


Neurosurgeons


Data Centres


Entrepreneurs


Conclusion


Notes


6. Risk and Regulation


Summary


Introduction


What Is Risk?


Technology and System Failures


Data Security and Privacy


Employee Error and Fraud


Inadequate or Failed Procedures, Systems, and Policies


Reputational Risk


External Risk


Financial Risk


AI and the Future of Compliance


Roles, RegTech, and Forgiving the Machine


Conclusion


Notes


7. Implementation Road Maps


Summary


Introduction


New Thinking on Employee Training


Robotics and Process Automation


Implementation Frameworks


Key Implementation Questions


Leadership and Sponsorship


Creating a Team


Finding Talent


Managing Progress


Human Resources Function


Alternative Spaces: The New Workplace


Timing: How Long to Implement?


Is Big Bang Transformation Possible?


Conclusion


Notes


8. New Business Models


Summary


Introduction


Augment or Automate?


Issues of Place and Time


Contextual Insight


Wordplay and Communication


New Business Models for New Markets


Conclusion


Notes


9. Coping with the Future


Summary


Introduction


Existing Roles in AI


Future Roles in AI


AI Education


Academic Education


On-the-Job Learning: Start-ups and Innovation Labs


Personal Capabilities for Success


Can Computers Innovate?


Living with Robots


Elderly Health Care and Robots


Taking Instructions and Advice from Computers


Rules for Robots


Conclusion


Notes


10. Strategies for Personal Reinvention


Summary


Introduction


The Need for Personal Reinvention


How Easy Is It to Change?


The Importance of Events and Conferences


The Freedom of Franchises ? from Employee to Owner


Can We Cope with Doing Nothing?


Third-Age Thinking


Conclusion


Notes


Appendices


Appendix A: Implementation Flowcharts


Appendix B: Jobs Most Affected by Artificial Intelligence


Appendix C: List of Professional AI Organisations


Appendix D: List of Tables


Appendix E: List of Figures


Index