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Integrated Intelligence

Combining Human and Artificial Intelligence for Competitive Advantage

Artificial intelligence (AI) is omnipresent in our daily lives, from our ever-present cell phones to transportation and banking. But are businesses using these tools to their full potential? So far, most firms use AI tools primarily for enhancing efficiency and automating jobs. However, as Ulrich Lichtenthaler shows, by making AI a core part of their innovation strategy, business can achieve an unbeatable competitive advantage.
 
This book will show executives, HR professionals, and consultants how to gradually develop the tools of AI for building a unique intelligence architecture. Including detailed guidelines for implementation and many examples from the world’s most innovative companies, Integrated Intelligence reveals how executives can achieve a sustainable competitive advantage through intelligence-based business models.
 

248 pages | 15 halftones | 6 x 9 | © 2020


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Table of Contents

Contents
Preface 9
Part A: Relevance 11
Chapter 1
The competitive relevance of artificial intelligence 13
AI has come a long way 16
There is a long road ahead 20
Chapter 2
The isolated ignorance of many established businesses 25
How do firms respond to recent advances in AI? 26
How does the historical evolution matter? 30
How does your company score? 34
Chapter 3
The strategic focus of the world’s most innovative companies 37
How can we identify the world’s most innovative companies? 40
Which are the world’s most innovative firms? 44
What importance does AI have
for the most innovative firms? 48
Part B: Framework 53
Chapter 4
An intelligence-based view of company performance 55
From a knowledge-based to an intelligence-based view 57
Human and artificial intelligence 60
Implications of an intelligence-based view 66
Chapter 5
Combining and complementing human
and artificial intelligence 71
4S framework for interplays of human
and artificial intelligence 72
Complementarity of human and artificial intelligence 77
Implications of complementarity 80
Chapter 6
Renewing and recombining human
and artificial intelligence 83
From digital transformation to intelligence transformation 83
Intelligence renewal and recombination 87
Transformation steps 90
Part C: Strategy 95
Chapter 7
Business innovation and evolutionary fitness 97
Digital and non-digital innovation 98
Technical and evolutionary fitness 102
Intelligence and meta-intelligence 105
Chapter 8
Core competencies and competitive advantage 109
Markets for intelligence 111
Sustainability of competitive advantage 115
Sources of competitive advantage 119
Chapter 9
Value creation and value capture 123
Overemphasis on technology 126
Importance of the business model 128
Balancing the business model 131
Part D: Organization 135
Chapter 10
Internal organization and external ecosystems 137
Boundaries of the company 138
Internal factors at multiple levels 141
External factors at multiple levels 145
Chapter 11
The No-Human-Interaction paradox 151
The paradox of positive and negative attitudes 153
Roots of attitudes 157
Managing the paradox 160
Chapter 12
The SMART leadership framework 163
SMART leadership principles 165
Implementing SMART leadership 172
Part E: Implementation 177
Chapter 13
Corporate initiatives and moving from HR to HAIR 179
Managing corporate AI initiatives 180
The role of the C-suite 184
Moving from HR to HAIR 187
Chapter 14
The I3 – Integrated Intelligence Incubator 191
I3 – Integrated Intelligence Incubator 192
Company canvas 195
Project canvas 201
Implementation checklist 208
Chapter 15
Avoiding typical pitfalls in execution 215
Technology domain 217
Market domain 219
Management domain 221
Avoiding the pitfalls 224
Conclusion and outlook 227

List of figures 231
List of tables 233
List of abbreviations 235
Endnotes 237
Index 247

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