By
Mark Hall
for
Morgan Stanley, LinkedIn
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.
By
Behrang Ashtari, Tobias Jung, Benjamin Lindemann, Nada Sahlab
for
Research Gate
This article looks at how Intelligent Digital Twins can be used for the realization of the autonomous Cyber-Physical Production Systems.
By
Meg Davis
for
Railway Age
An overview of potential benefits of digital twins to rail build and operations
By
Trent Jacobs
for
Journal of Petroleum Technology
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
By
Fei Tao, Meng Zhang
for
IEEE
Several years old, this article still bears reading because the issues involve in smart manufacturing remain the same. A single phrase sums this up: “from the perspective of evolution, convergence is also the inevitable trend”
By
Center for Medical Interoperability Content Team
for
Center for Medical Interoperability
An article that discusses interoperability from the perspective of healthcare information flowing seamlessly between disparate devices and IT systems.
By
Suraj Juddoo
for
ResearchGate
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.
By
Colin Koh
for
Precicon
An article principally focused on Connectivity but also acknowledging the importance of Interoperability.
By
SAS Content team
for
SAS. Originally published in The Economist
The SAS content piece advocates that heart of a digital twin is analytics. Not whether you can collect the data, but whether you can turn it from data to valuable transformative information.
By
Greg Zimmerman
for
Facilities Net
An interesting article advocating for digital twin adoption as a step on from BIM.
By
Yana Arnautova
for
Global Logic
This article outlines digital twin benefits with a case study of a company deploying warehouse automation software.
By
Marlene R. Williamson
for
New England Complex Systems Institute
An article outlining data interoperability history and challenges faced by the US Department of Defense.
By
Digital Twin Consortium
for
Digital Twin Consortium
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.
By
Siemens content team
for
Siemens
An fairly generic introduction to Siemens thinking around digital twins—focused on product, production, and performance.
By
Donald Wachs
for
Bearing Point
A short, light opinion piece on the advantages of moving BIM to the cloud.
By
ANZLIC
for
ANZLIC – Australia New Zealand Land Information Council
An overview of the drive for consistent principles for digital twins for the built and natural environments in Australia and New Zealand, with several useful links – including to the Principles themselves
By
Xylem content team
for
Xylem
A case study from Xylem with quantified ROI from the implementation of Xylem smart wastewater technology for the City of South Bend, Indiana.
By
Congruity 360 Content Team
for
Congruity 360
An introduction to the cost of unstructured data.
By
BehrTech Content Team
for
BehrTech
The key is in the title – 8 individual perspectives on the value of interoperability.
By
Emma McGuigan, Jan van den Bremen, Brian McKillips, Pradeep Roy, Surya Mukherjee
for
Accenture
This paper seeks to outline a business case for interoperability as an enabler of business transformation - providing transparency, agility, productivity, experience and scalability.
By
Treehouse Technology Group Content Team
for
Treehouse Technology Group
A beginners guide to structured, unstructured, and semi-structured data.