The Executive Guide to Artificial Intelligence: How to identify and implement applications for AI in your organization

✍ Scribed by Burgess, Andrew

• Publisher: Springer International Publishing : Imprint : Palgrave Macmillan
• Year: 2017;2018
• Tongue: English
• Leaves: 187
• Category: Library

✦ Synopsis

This book takes a pragmatic and hype–free approach to explaining artificial intelligence and how it can be utilised by businesses today. At the core of the book is a framework, developed by the author, which describes in non–technical language the eight core capabilities of Artificial Intelligence (AI). Each of these capabilities, ranging from image recognition, through natural language processing, to prediction, is explained using real–life examples and how they can be applied in a business environment. It will include interviews with executives who have successfully implemented AI as well as CEOs from AI vendors and consultancies.AI is one of the most talked about technologies in business today. It has the ability to deliver step–change benefits to organisations and enables forward–thinking CEOs to rethink their business models or create completely new businesses. But most of the real value of AI is hidden behind marketing hyperbole, confusing terminology, inflated expectations and dire warnings of ‘robot overlords’. Any business executive that wants to know how to exploit AI in their business today is left confused and frustrated.As an advisor in Artificial Intelligence, Andrew Burgess regularly comes face–to–face with business executives who are struggling to cut through the hype that surrounds AI. The knowledge and experience he has gained in advising them, as well as working as a strategic advisor to AI vendors and consultancies, has provided him with the skills to help business executives understand what AI is and how they can exploit its many benefits. Through the distilled knowledge included in this book business leaders will be able to take full advantage of this most disruptive of technologies and create substantial competitive advantage for their companies.

✦ Table of Contents

Dedication......Page 5
Foreword......Page 6
Acknowledgements......Page 8
Contents......Page 10
List of Figures......Page 11
Introduction......Page 12
Introducing the AI Framework......Page 14
The Impact of AI on Jobs......Page 16
A Technology Overview......Page 17
About This Book......Page 19
A Brief History of AI......Page 21
The Role of Big Data......Page 23
The Role of Faster Processors......Page 26
The Role of Ubiquitous Connectivity......Page 27
About Cloud AI......Page 28
What Is Machine Learning?......Page 29
The Barriers to AI......Page 32
Some AI Case Studies......Page 34
Conclusion......Page 35
The Academic’s View......Page 36
Introduction......Page 38
Image Recognition......Page 41
Speech Recognition......Page 42
Search......Page 44
Clustering......Page 46
Natural Language Understanding......Page 47
Optimisation......Page 50
Prediction......Page 55
Understanding......Page 57
Using the AI Framework......Page 59
The AI Start-Up’s View......Page 62
Introduction......Page 64
AI and Cloud......Page 65
AI and Robotic Process Automation......Page 67
AI and Robotics......Page 73
AI and the IoT......Page 74
AI and Crowd Sourcing......Page 76
The Established AI Vendor’s View......Page 79
Introduction......Page 82
How AI Is Enhancing Customer Service......Page 83
How AI Is Optimising Processes......Page 87
How AI Is Generating Insights......Page 93
The Established AI User’s View......Page 97
Introduction......Page 99
Aligning with Business Strategy......Page 100
Understanding Your AI Ambitions......Page 102
Assessing Your AI Maturity......Page 105
Creating Your AI Heat Map......Page 108
Developing the AI Business Case......Page 113
Understanding Change Management......Page 118
Developing Your AI Roadmap......Page 120
Creating Your AI Strategy......Page 121
The Cognitive Reasoning Vendor’s View......Page 122
Reference......Page 124
Introduction......Page 125
Build Versus Buy Versus Platform......Page 126
Creating Your First Build......Page 129
Understanding Data Training......Page 131
The AI Consultant’s View......Page 134
The Challenge of Poor Data......Page 136
Understanding the Lack of Transparency......Page 139
The Challenge of Unintended Bias......Page 141
Understanding AI’s Naivety......Page 143
Becoming Over-Dependent on AI......Page 145
Choosing the Wrong Technology......Page 146
Preparing for Malicious Acts......Page 148
Conclusion......Page 150
The AI Ethicist’s View......Page 151
Introduction......Page 154
Building an AI Eco-System......Page 155
Selecting the Right AI Vendor......Page 159
Selecting the Right AI Service Provider......Page 162
Building an AI Organisation......Page 165
The Data Scientist’s View......Page 170
Introduction......Page 172
The Next Opportunities for AI......Page 173
When Will AI Be Business as Usual?......Page 176
Future-Proofing Your Business......Page 180
Final Thoughts......Page 182
Index......Page 183

✦ Subjects

Business;Science;Technology;Artificial Intelligence