Enterprise AI Productivity: Success Beyond the Hype

Description

Actionable Information Enterprises Need to Transform into an AI-Fueled Business

In an era when artificial intelligence is reshaping industries, most organizations still struggle to move beyond experimentation. Enterprise AI Productivity is a timely and authoritative guide that bridges the gap between AI ambition and execution. Written by Selim Mimaroglu, former Director of Data Science and Machine Learning at Oracle, this book offers a structured, experienced roadmap for transforming your organization into a high-performing, AI-powered enterprise.

Think of AI as a dream product--one that requires a symphony of teams, tools, and strategies to bring it to life. While software development has long-established frameworks, AI demands a new organizational blueprint. This book demystifies the complexities of AI adoption by presenting a clear, practical approach to building and scaling AI solutions. Through real-world examples and a chapter-by-chapter breakdown of roles, responsibilities, and workflows, readers will learn how to identify high-impact problems, develop AI models, and deploy them into production with confidence and clarity.

• AI Organizational Design: Learn how to structure your teams for success and avoid the pitfalls that cause 80% of AI projects to fail
• From Idea to Product: Discover how to move from identifying a business problem to building a scalable AI product family
• Model Lifecycle Management: Master the end-to-end process of training, deploying, monitoring, and maintaining AI models
• Cross-Functional Collaboration: Understand the roles of individual contributors, teams, and leaders in an AI-driven organization
• Real-World Case Studies: Gain insights from the author's hands-on experience leading AI initiatives across global enterprises
• Strategic AI Thinking: Explore the differences between product platforms, product families, and industry platforms--and how to leverage each

Sample Content

Table of Contents

Preface xv
Acknowledgments xxvii
About the Author xxix

Chapter 1: Why AI? 1
AI Is a Better Solution 2
AI Is a Great Enabler 3
AI Sells Products 3
A Motivational Real-Life Example 4
AI Jargon 6
Roles 8
Marketing 20
AI Prototyping 20
An Anecdote 27
Summary 28

Chapter 2: What Is an AI-Fueled Business? 31
People 34
Product 39
Process 42
Technology 46
Culture 48
Pitfalls 51
Keys to Success 54
An Anecdote 56
Summary 58

Chapter 3: How to Structure the AI Organization 61
Hierarchical Structures 62
AI Center of Excellence 68
Pitfalls 83
Keys to Success 85
An Anecdote 88
Summary 89

Chapter 4: AI Innovation 91
Defining Innovation 92
Team Structure 94
Horizon Projects 98
Hackathons 100
Open Innovation 102
Inventions 105
Leadership and Innovation 105
AI Industry Platform 107
Pitfalls 112
Keys to Success 114
An Anecdote 115
Summary 117

Chapter 5: AI Product Management 119
AI Product Management Explained 119
Team Structure 125
Product Platform 127
Product Vision and Strategy 135
Product Roadmaps 136
AI Product Management Techniques 138
Interactions 144
Pitfalls 146
Keys to Success 149
An Anecdote 153
Summary 154

Chapter 6: AI Research 157
Literature Review 158
Team Structure 160
Responsibilities 162
Tools and Processes 177
Professional Interactions 185
Pitfalls 194
Keys to Success 198
An Anecdote 202
Summary 203

Chapter 7: AI Deployment 205
What Does an AI Deployment Team Do? 206
AI Deployment Team Roles and Structure 211
Responsibilities of an AI Deployment Team 218
AI Deployment Team Interactions with Other Teams 220
Development Team Interactions 230
Professional Interactions 230
Pitfalls 231
Keys to Success 234
An Anecdote 237
Summary 240

Chapter 8: AI Production 241
AI Production Explained 241
Team Structure 244
Roles and Responsibilities 246
Professional Interactions 249
Pitfalls 252
Keys to Success 254
An Anecdote 256
Summary 257

Index 259

Updates

Submit Errata