The value of Digital Twins can only be realized if Digital Twins and their virtual environment contain the same data and resulting information as their corresponding Physical Twins and real-world environment. This means that the need for more extensive, faster, and richer sensing of the physical world will dramatically increase as valuable use cases proliferate. In addition, we will evolve from working in physical or virtual environments to integrating and working simultaneously in both environments. Dr. Grieves discusses his views on the opportunities and issues of this evolution.

This article presents a discussion on how Intelligent Digital Twins (IDTs) will evolve and assist in developing and managing complex systems.

"Interoperability is critical to enable digital twins to process information from heterogeneous systems. The Digital Twin System Interoperability Framework seeks to address this challenge by facilitating complex system of systems interactions. Examples include scaling a smart building to a smart city to an entire country, or an assembly line to a factory to a global supply chain network,” said Dan Isaacs, CTO, Digital Twin Consortium.

This article is an easy introduction to the concept of APIs, API-first, the outlining benefits of an API-first approach.

This article looks at how Intelligent Digital Twins can be used for the realization of the autonomous Cyber-Physical Production Systems.

An article heralding the launch of a scaled oil & gas digital twin involving up to 300 workers processing up to 250,000 B/D of oil

A case study from Xylem with quantified ROI from the implementation of Xylem smart wastewater technology for the City of South Bend, Indiana.

The Digital Twin Capabilities Periodic Table (CPT) is an architecture and technology agnostic requirements definition framework. It is aimed at organizations who want to design, develop, deploy and operate digital twins based on use case capability requirements versus the features of technology solutions.