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

This short article discusses the increasing skills shortage (10 plus years industry experience) facing the oil and gas sector.

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.

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.