With the advent of Industry 4.0, there has been an increasing trend toward interconnectedness. Within this trend, the recommendations in this article position digital twins as a critical, connecting force.

Whilst use of unstructured data (sensors, images, video) is increasing, structured data remains crucial and is instrumental in developing descriptive, predictive, and prescriptive analysis.

"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.

An interview with Aurelien Le sant, CTO Industrial Automation, Schneider Electric

This paper on electronic rail digital twins, presented at the Power Electronics, Drive Systems, and Technologies Conference focuses on the need for precision to execute an exact simulation of the performance of real physical system.

Hidden deep within the avalanche of hyperbolic AI-centric sales and marketing ‘solutions’ to contemporary problems of data and information management, is a gold nugget. Ontology.

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

Data quality management systems are thoroughly researched but the advent of Big Data might pose some serious questions pertaining to the applicability of existing data quality concepts. This paper aims to investigate various components and activities forming part of data quality management such as dimensions, metrics, data quality rules, data profiling and data cleansing.

A beginners guide to structured, unstructured, and semi-structured data.

An introduction to the cost of unstructured data.

An article outlining data interoperability history and challenges faced by the US Department of Defense.

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.