Digital Twins in Action

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  • MEAP began October 2025
  • Last updated October 2025
  • Publication in Spring 2026 (estimated)
  • ISBN 9781633434653
  • 325 pages (estimated)
  • printed in black & white

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Build a living digital replica of your real-world systems!

A digital twin is a software-based replica of a physical system that can be used to operate, monitor, and maintain it remotely. Working together, IoT sensors, 3D visualizations, simulation algorithms, AI models, and even robotics give a digital twin an impressive degree of control. This virtual environment is perfect for testing ideas, exploring "what if" scenarios, and unlocking insights—all without making costly changes in reality.

Digital Twins in Action teaches you how to:

  • Define clear business objectives for digital twins
  • Create digital representations of physical systems
  • Blend computer vision, OCR, and generative AI with 3D geometric models
  • Stream IoT sensor data into a twin
  • Represent real-world systems as knowledge graphs
  • Machine learning and agentic AI for analysis and decision-making

Author Greg Biegel has developed numerous industry-scale digital twin platforms from the ground up. In Digital Twins in Action, he shares this unique experience with real-world insights about state of the art digital twins you can put into action today. There’s no niche academic theory—just a complete, practical introduction to every layer of the digital twin stack.

about the book

Digital Twins in Action is a hands-on guide to designing and building effective digital twins. In it, you’ll build a home-scale digital twin from the ground up. You’ll start with a framework for gathering requirements to ensure that what you deliver is perfectly suited to your needs. You’ll then work through the complete project step-by-step—from setting up sensors, to handling hardware, to working with embedded software. By the time you’re finished, you’ll have a twin that can generate 3D models from your phone, extract insights from video and text with computer vision, and even employ an AI agent. Along the way, Greg will point out techniques you can use to scale up your small twin.

about the reader

For software developers and machine learning engineers. Some knowledge of physical systems engineering is helpful but not required.

about the author

Greg Biegel has been building digital representations of physical systems for large organizations for over 20 years, including 6 years creating a state of the art industrial digital twin platform for a leading Australian energy producer. He holds Computer Science degrees from Rhodes University, South Africa and Trinity College, Dublin.
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choose your plan

team

monthly
annual
$49.99
$399.99
only $33.33 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • renews monthly, pause or cancel renewal anytime
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  • Digital Twins in Action ebook for free