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Advanced Analytics and AI: Impact, Implementation, and the Future of Work

Advanced Analytics and AI: Impact, Implementation, and the Future of Work

Tony Boobier

ISBN: 978-1-119-39030-5

Jun 2018

304 pages

In Stock

$37.50

Description

Be prepared for the arrival of automated decision making

Once thought of as science fiction, major corporations are already beginning to use cognitive systems to assist in providing wealth advice and also in medication treatment. The use of Cognitive Analytics/Artificial Intelligence (AI) Systems is set to accelerate, with the expectation that it’ll be considered ‘mainstream’ in the next 5 – 10 years. It’ll change the way we as individuals interact with data and systems—and the way we run our businesses.

Cognitive Analysis and AI prepares business users for the era of cognitive analytics / artificial intelligence. Building on established texts and commentary, it specifically prepares you in terms of expectation, impact on personal roles, and responsibilities. It focuses on the specific impact on key industries (retail, financial services, utilities and media) and also on key professions (such as accounting, operational management, supply chain and risk management).

  • Shows you how users interact with the system in natural language
  • Explains how cognitive analysis/AI can source ‘big data’
  • Provides a roadmap for implementation
  • Gets you up to speed now before you get left behind

If you’re a decision maker or budget holder within the corporate context, this invaluable book helps you gain an advantage from the deployment of cognitive analytics tools.

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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