about this book
Digital Twins in Action aims to show you how to build a digital representation of a physical system that you will use to make better decisions. A better decision in this context simply means achieving an outcome faster, more safely, with fewer resources, or a combination of all these.
The book uses a home digital twin as its running example, not because home automation is the target audience, but because the underlying techniques transfer directly to industrial, infrastructure, and enterprise systems. The home provides a universally accessible context for learning the core skills involved in building a digital twin: translating a physical system into a digital representation meaningful to humans and machines, using a variety of data to keep that model synchronized with reality, building visualizations of the digital model, and using it to predict future outcomes through simulation, ML, and AI.
Who should read this book
This book is for anyone interested in understanding what is involved in building a digital twin. It is aimed at practitioners who want to move beyond theory into implementation, including software engineers, architects, data engineers, and solution designers working with real-world systems.