Description
Build secure, effective digital twins using proven engineering principles and AI foundations
AI Powered Digital Twins: A Guide for Humans, Engineers, and Enterprises provides a unified framework for implementing digital twin systems where AI agents reason, act, and remain governed. Hala Nelson lays out a 12-layer engineering architecture spanning raw data ingestion, semantic spine, event, native core, agent reasoning loops, simulation, Zero Trust security, and governance lifecycle. The architecture targets systems that must perform in critical infrastructure rather than demonstrations.
The book delivers a human-centered Standard of Care framework alongside real-world case studies from critical infrastructure and system engineering. Readers gain practical guidance on integrating AI, data engineering, asset tagging, knowledge graphs and quantum computing within digital twin environments. Coverage includes accountability frameworks modeled on the rigor of aviation, healthcare, and civil engineering, plus an AI and data strategy designed to translate directly into measurable business value. The book stresses engineering discipline to bridge the gap between AI investment and real-world delivery.
The book contains:
- How AI agents reason, act, and stay governed within digital twins using Zero Trust security and governance controls
- A modular architecture for blending physical and virtual worlds while protecting safety across operational technology environments
- Accountability frameworks modeled on aviation, healthcare, and civil engineering that hold AI systems to a standard of care
- Case studies demonstrating implementation strategies for manufacturing and integrated system engineering
- An AI and data strategy that translates into measurable business value rather than a policy document on a shelf
17 chapters. One architecture. Zero handwaving about security. A must-read for engineers, architects, technical leaders, strategists, and the policymakers who depend on their judgment.
Table of Contents
Preface xxi
Part 1 AI-native Digital Twins 1
Chapter 1 Digital Twins and Humans 3
Chapter 2 When AI Powers Digital Twins 19
Chapter 3 AI Agents Within Digital Twins 45
Part 2 Infrastructure and Security Requirements 87
Chapter 4 AI Data Centers 91
Chapter 5 Energy Infrastructure for AI at Scale 101
Chapter 6 A Standard of Care for AI-powered Digital Twins 109
Chapter 7 Cybersecurity 123
Part 3 Engineering 141
Chapter 8 AI Engineering 143
Chapter 9 Hardware Layer and Supply Chain 171
Chapter 10 Communication Networks and Graphs 185
Chapter 11 Data Engineering 197
Chapter 12 System Design 221
Chapter 13 Mathematical Modeling and Computation 235
Chapter 14 Engineering for Longevity 257
Chapter 15 The Quantum Realm, Computation, and Consciousness 269
Part 4 Humans, Purpose, and Business 283
Chapter 16 AI and Data Strategy 285
Chapter 17 Business, Bubbles, and Human-centered Philosophy 291
Appendix: Full Engineering Architecture Expanded 303
Resources and Influences 311
About the Author 315
Index 317
