Transform your organization’s approach to AI with tested frameworks from global leaders
AI and Innovation: How to Transform Your Business and Outpace the Competition with Generative AI is an expert blueprint on shaping and scaling the AI ecosystem of the future, revealing frameworks already tested and implemented at leading companies including Siemens, GE, and Microsoft. This book contains insight, use cases, tools, and templates to help readers build a brighter future for their organizations based on a fusion of disciplines, new concepts, and foresight thinking.
Written by two transformational business leaders, this AI and Innovation shows readers how to create the future of the innovation engine by connecting the dots between technology, change, and business success. The authors discuss topics including:
- Understanding the core concepts behind AI, including why it matters and what it actually is
- Generating a roadmap of change, then applying concrete tools and methods to kick-start and anticipate transformational change
- Transforming the ways of working, collaborating, and realizing new market opportunities
- Preparing for the future as AI and related technologies continue to progress at a breathtaking pace
AI and Innovation is a timely, essential read for business leaders, innovation and strategy managers, and executives seeking state-of-the-art guidance on AI and proven best practices for implementation.
Table of Contents
Introduction
About The Authors 8
Preface 10
Motivation For The topic 12
Introduction to Exponential Change 16
New Perspectives 28
Clearing Up AI Basics 32
Key Takeaways 41
Part 1: Why AI Matters
Imagine That . . .44
What If . . .62
Examples of Use Cases 77
Expert Point of View 82
Key Takeaways 86
Part 2: How to Make A Difference With AI
Where to Play and How to Win 90
How to Design The AI Strategy 94
How to Develop AI Capabilities 116
Examples of Industry Cases 127
How to Address AI Ethics 132
How to Handle AI Regulations 138
Expert Point of View 145
Key Takeaways 150
Part 3: What tools and Methods Support The Activities?
How to Leverage The AI Value Chain 154
Transformer Models, Agi, and Other Beliefs 156
Example of Application Scenario 161
Methods For AI and Innovation 168
#1 AI Lens: Increased Employee Productivity 169
#2 AI Lens: AI-Driven Innovation and Creativity 180
#3 AI Lens: top-Line and Bottom-Line Impact 194
Expert Point of View 200
Key Takeaways 204
Part 4: The Future of AI and Innovation
What’s Next For AI 208
Trends On AI 212
AI’s Influence On Different Sectors 216
Example of Industry Cases 223
Future of Innovation Management 230
Expert Point of View 237
Key Takeaways 244
Wrap-Up
Closing Words 246
AI-Glossary 248
Sources 257
Index 263
