Autorentext

MICHAEL LEWRICK (PhD) is a bestselling author, award-winning design thinking and ecosystem design though leader, business entrepreneur and visiting professor at various universities globally. His ideas, books and company, Lewrick and Company, help mobilize people around the world to better lead innovation and digital transformation in an era of increasingly rapid change. He values the power of human-AI collaboration for solving complex problems.

OMAR HATAMLEH (PhD) is a global innovation and transformation expert and book author about emerging technologies. He holds the position of Chief AI Advisor at NASA and he is an invited keynote speaker to multiple national and international events including major innovation conferences at Google, IBM, European Investment Fund and many others. Omar holds four engineering degrees and has received numerous excellence awards.

Klappentext

"THE BOOK FROM OMAR & MICHAEL IS A MASTERPIECE TO UNDERSTAND THE POSSIBILITIES OF HOW AI WILL CHANGE FUNDAMENTALLY OUR WORLD, BUSINESSES AND LIFE! A MUST-READ!"
-Nabil Malouli, SVP of eCommerce Global, DHL

"IN A WORLD SPINNING WITH AI, THIS BOOK IS THE COMPASS I NEEDED, GUIDING US FROM INITIAL CURIOSITY TO EFFECTIVELY SCALING OUR AI PRODUCTS. IT CLEARS THE FOG, DEMYSTIFIES THE FUTURE, AND EMPOWERS US TO NAVIGATE THE THRILLING LANDSCAPE OF EXPONENTIAL CHANGE."
-Greg Ombach, PhD, Head of Disruptive Research & Technology, Airbus

"THIS BOOK ISN'T JUST ABOUT AI, IT'S ABOUT THE FUTURE OF HUMANITY. A MIND-BLOWING EXPLORATION OF HOW AI IS UNLOCKING NEW REALMS OF INNOVATION - A MUST-READ!"
-Claudio Mirti, Advanced Analytics & AI Lead EMEA, Microsoft

Artificial intelligence (AI) is rapidly changing the world. From self-driving cars to virtual assistants, generative AI is already having a major impact on our lives. And the future of AI and innovation is even more promising.

In this book from the exponential change book series, the authors explore the future of AI and innovation. Renowned bestselling innovation author, Michael Lewrick, and NASA Chief AI Advisor and thought leader, Omar Hatamleh, reflect on best practices and tools to transform industries, create new market opportunities, and solve some of the world's most wicked problems of mankind with AI. The team of authors also discuss the challenges of AI, such as bias, security, and privacy. Different perspectives from industry experts enrich the discussion of the topic. This essential roadmap equips you with the tools and foresight to navigate the exponential changes on the horizon, shaping a brighter future for your business.

This book is for anyone who wants to understand the future of AI and innovation. It is for business leaders, innovation teams, policymakers, and anyone who is interested in leading exponential change.

Inhalt

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