Advanced analytics and AI : impact, implementation, and the future of work

Description

Content: 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