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.