Tony Boobier

AI and the Future of the Public Sector (eBook, PDF)

The Creation of Public Sector 4.0

• Format: PDF

Produktbeschreibung

Discover how data, analytics, and AI will transform public services for the better In AI and the Future of the Public Sector: The Creation of Public Sector 4.0, renowned executive and consultant Tony Boobier delivers a comprehensive reference of the most relevant and central issues regarding the adoption and implementation of AI in the public sector. In the book, you'll find out why data and analytics are the solution to significant and ongoing problems in the public service relating to its ability to effectively provide services in an environment of reduced funding. You'll also discover the likely impact of future technological developments, like 5G and quantum computing, as well as explore the future of healthcare and the effective digitalization of the healthcare industry. The book also offers: * Discussions of policing 4.0 and how data and analytics will transform public safety * Explorations of the future of education and how ai can dramatically enhance educational standards while reducing costs * Treatments of the internationalization of public services and its impact on agencies and departments everywhere A can't-miss resource for public sector employees at the managerial and professional levels, AI and the Future of the Public Sector is an insightful and timely blueprint to the effective use of artificial intelligence that belongs in the bookshelves of policy makers, academics, and public servants around the world.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 288
• Erscheinungstermin: 15. August 2022
• Englisch
• ISBN-13: 9781119868118
• Artikelnr.: 65464504

Autorenporträt

TONY BOOBIER is an independent consultant and former IBM worldwide executive with over 30 years' experience in the fields of financial services, business intelligence, and analytics. He holds professional qualifications in engineering, marketing, supply chain management, and insurance.

Inhaltsangabe

Acknowledgments xv

About the Author xvii

Introduction xix

Chapter 1

Understanding the Key Building Blocks of Progress 1

1.1 Introduction 1

1.2 Key Building Blocks of Data Science and AI 2

1.2.1 Data Acquisition 2

1.2.2 Data Maintenance 2

1.2.3 Analysis 3

1.2.4 Communication 3

1.2.5 Machine Learning 4

1.2.6 Artificial Intelligence 4

1.2.7 Advantages and Disadvantages 4

1.2.8 Four Key Focuses for Future AI 5

1.3 Quantum Computing 7

1.3.1 What Is Quantum Computing? 7

1.3.2 Impact on Cybersecurity 9

1.4 Proliferation of Devices 9

1.5 5G and the Impact of Advanced Communications 11

1.5.1 Global Transformation 12

1.6 Public Sectors 4.0 12

1.7 Conclusion 14

1.8 Notes 15

Chapter 2

Office of Finance 17

2.1 Introduction 17

2.2 Forecasting and Public Finance Management 18

2.3 Forecasting 19

2.3.1 Qualitative Forecasting 19

2.3.2 Quantitative Forecasting 20

2.3.3 Forecasting for Public Sector Transformation 21

2.3.4 Managing Risk and Uncertainty 22

2.3.5 Forecasting in IT Projects 23

2.3.6 The Move Toward Activity-Based Costing 24

2.3.7 Hard Benefits and Soft Benefits 24

2.3.8 Enterprise Resource Planning 26

2.3.9 AI and Governmental Administration 28

2.3.10 Global Partnership on AI 29

2.4 Conclusion 30

2.5 Notes 30

Chapter 3

Public Order and Safety 33

3.1 Introduction 33

3.2 The Future of Policing in an AI Era 33

3.2.1 Transformation of Police Work 34

3.2.2 Criminal Use of AI 36

3.2.3 Police Use of New Technologies 36

3.2.4 Case Studies in Policing 37

3.2.5 Policing in China 38

3.2.6 Forward-Looking Policing 39

3.3 AI in Policing 41

3.3.1 Impact on Police Behavior 42

3.4 The Citizen as a Key Component of Future Policing 42

3.5 Police and Location Analytics 43

3.6 Policing Summary 44

3.7 Border Security and AI 45

3.8 Customs Reform 46

3.8.1 The Citizen and Taxation 47

3.9 Fire Safety and AI 48

3.9.1 Natural Fire Prevention 49

3.9.2 Prevention of Urban Fires 49

3.9.3 Smart Homes and Fire Detection 49

3.9.4 Commercial Fire Prevention 50

3.9.5 Firefighting Using AI 50

3.9.6 Fire Station Locations 51

3.10 Conclusion 51

3.11 Notes 52

Chapter 4

Personal Social Services 55

4.1 Introduction 55

4.2 Care Homes 56

4.2.1 The UK Model 57

4.2.2 Care Homes in Japan 59

4.2.3 The Canadian Picture 60

4.2.4 The Emergence of AgeTech 60

4.2.5 Going Forward 61

4.2.6 Conclusion 61

4.3 Impact on Children 62

4.4 Mental Health 64

4.5 Social Protection 66

4.5.1 Social Risk Framework 67

4.6 Employment and Benefit Management 70

4.7 Conclusion 72

4.8 Notes 73

Chapter 5

Health 77

5.1 Introduction 77

5.2 Digitalization and Its Importance in Healthcare 77

5.2.1 Different Categories of Data Sources in Healthcare 78

5.3 Medical Monitoring and Biosensors 79

5.3.1 Use of Biosensors in Mental Health 81

5.4 Innovating to Zero in Healthcare 82

5.4.1 Zero Invasive Surgery 82

5.4.2