A Robust Model for Achieving Digital Twin Maturity

Lukasz Paciorkowski, Piotr Karolczak
Łukasz Paciorkowski and Piotr Karolczak present a digital twin maturity model that can help organizations make better decisions around the structure of digital twins applied to industrial applications. The model presents several capabilities that organizations can explore across several maturity levels.

Digital Twins Can Enable Smart, Agile, Sustainable Cities

Jacqueline Corbett, Adnène Hajji, Sehl Mellouli
Jacqueline Corbett, Adnène Hajji, and Sehl Mellouli discuss how digital twins can promote smart, agile, sustainable cities. First, the authors present the concept of organizational agility and the ways it promotes organizational success. Then, they explain how digital twin dimensions and capabilities support and contribute to organizational agility. The authors also present some examples and conclude with recom­mendations for cities in their consideration for the use of digital twins.

Digital Twins Can Enable Smart, Agile, Sustainable Cities

Jacqueline Corbett, Adnène Hajji, Sehl Mellouli
Jacqueline Corbett, Adnène Hajji, and Sehl Mellouli discuss how digital twins can promote smart, agile, sustainable cities. First, the authors present the concept of organizational agility and the ways it promotes organizational success. Then, they explain how digital twin dimensions and capabilities support and contribute to organizational agility. The authors also present some examples and conclude with recom­mendations for cities in their consideration for the use of digital twins.

Security & Trustworthiness in Digital Twin Systems

Jon Geater
Jon Geater investigates the relationship of security and trustworthiness to digital twins. He looks at the possible security impact of the analog world on the digital world and how to address it. His application of the “nature versus nurture” analogy to digital twins is compelling. Geater discusses several security-related topics that organizations should consider, and he ends with a look at how to address digital twin security as we move forward.

Security & Trustworthiness in Digital Twin Systems

Jon Geater
Jon Geater investigates the relationship of security and trustworthiness to digital twins. He looks at the possible security impact of the analog world on the digital world and how to address it. His application of the “nature versus nurture” analogy to digital twins is compelling. Geater discusses several security-related topics that organizations should consider, and he ends with a look at how to address digital twin security as we move forward.

Digital Transformation in Automotive: Adoption of Digital Twins

Madison White
Madison White explores how digital transformation in the transportation industry is being combined with automotive digital twins to produce the next generation of autonomous vehicles. She looks at the challenges facing production-scale deployment of digital twins, including digital twin accuracy, connec­tivity, data accuracy, interoperability/standardization, and trust/security. She concludes with the cost benefits of developing a vehicle using digital twins, including predicting maintenance, and thus lowering cost of ownership during the lifetime of a vehicle, and cleaner air.

Digital Transformation in Automotive: Adoption of Digital Twins

Madison White
Madison White explores how digital transformation in the transportation industry is being combined with automotive digital twins to produce the next generation of autonomous vehicles. She looks at the challenges facing production-scale deployment of digital twins, including digital twin accuracy, connec­tivity, data accuracy, interoperability/standardization, and trust/security. She concludes with the cost benefits of developing a vehicle using digital twins, including predicting maintenance, and thus lowering cost of ownership during the lifetime of a vehicle, and cleaner air.

Digital Twins: Making Medical Technology More Precise, Preventive & Personalized

Chloé Audigier, Dileep Mangsuli
Chloé Audigier and Dileep Mangsuli explore digital twins in the medical domain, specifically regarding modeling humans and their care. They explore the complexity of data related to various organs and scenarios, especially how models must be based on the behavior of many people yet personalized to a specific person. Medical digital twins can help predict therapeutic outcomes and how an individual will react to a particular approach. This is a promising field with endless applications and possibilities.

Digital Twins: Making Medical Technology More Precise, Preventive & Personalized

Chloé Audigier, Dileep Mangsuli
Chloé Audigier and Dileep Mangsuli explore digital twins in the medical domain, specifically regarding modeling humans and their care. They explore the complexity of data related to various organs and scenarios, especially how models must be based on the behavior of many people yet personalized to a specific person. Medical digital twins can help predict therapeutic outcomes and how an individual will react to a particular approach. This is a promising field with endless applications and possibilities.

The Role of Digital Twins in Enabling True Predictive Maintenance

Sameer Kher
Sameer Kher starts us off with a discussion on the important topic of simulations. Simulations have been used for years in modeling and design. More recently, they have become a core aspect of digital twins, simu­lating outcomes during design phases and in using real data during operations. Kher describes the phases associated with applying simulation in digital twins as well as use of simulation in areas such as predictive maintenance. He concludes with describing how you build, validate, and deploy a simulated digital twin.

The Role of Digital Twins in Enabling True Predictive Maintenance

Sameer Kher
Sameer Kher starts us off with a discussion on the important topic of simulations. Simulations have been used for years in modeling and design. More recently, they have become a core aspect of digital twins, simu­lating outcomes during design phases and in using real data during operations. Kher describes the phases associated with applying simulation in digital twins as well as use of simulation in areas such as predictive maintenance. He concludes with describing how you build, validate, and deploy a simulated digital twin.

Data Strategy: From Vision to Roadmap, Part II — Dimensions of Information Superiority

Richard Veryard
In Part II of this Executive Update series on information superiority, we take the concept further and examine the four dimensions of information superiority in greater detail.

Digital Twins — Opening Statement

Ron Zahavi
It takes a village and ecosystem to provide all the capabilities found in digital twins. To highlight this challenge, the articles in this issue of CBTJ bring to life the various aspects of digital twins uses and applicability.

Digital Twins — Opening Statement

Ron Zahavi
It takes a village and ecosystem to provide all the capabilities found in digital twins. To highlight this challenge, the articles in this issue of CBTJ bring to life the various aspects of digital twins uses and applicability.

Biggest Digital Transformation Risk Is Human, Keep Digital & Data Architecture Options Open...

Cutter Consortium
This edition of The Cutter Edge discusses why it's critical for business leaders to understand that success depends more on how they develop people than how they deploy technology; the patterns and techniques that are useful for keeping digital and data architectures open to changes, and more!

Biggest Digital Transformation Risk Is Human, Keep Digital & Data Architecture Options Open...

Cutter Consortium
This edition of The Cutter Edge discusses why it's critical for business leaders to understand that success depends more on how they develop people than how they deploy technology; the patterns and techniques that are useful for keeping digital and data architectures open to changes, and more!

Federated Learning’s Potential for Joint AI Development Efforts

Curt Hall
Federated learning is an emerging distributed machine learning (ML) development method that allows different organizations to collaborate on artificial intelligence (AI) projects while protecting their sensitive data. Federated learning is currently seen as especially applicable in healthcare/medicine and banking/finance; however, I believe it will prove important for many heavily regulated industries seeking to develop AI applications.

Developing High-Performance Agile Coaches

This program developed by Cutter Senior Consultant Jon Ward employs an apprenticeship style of blended learning that includes theory and practice to provide a clear, pragmatic understanding of the art of agile coaching over the course of fourteen weeks. Participants will gain a deep understanding of core agile conventions and benefit from the practical application of observation, analysis of team behavior and performance, and the implementation of a range of interventions based upon agile wisdom. 

Ingredients for Enterprise Agility, Part II: Organizing and Planning for Enterprise Agility

Jon Ward
This Advisor outlines how using a target operating model working hypothesis may help C-suite executives understand how adopting Agile can impact them and their organization. The working hypothesis develops incrementally as the activity progresses. The author also suggests how to plan a transformation based upon outcomes, 90-day horizons and themes, and offers an Agile sundial as a means of setting direction and illustrating progress.

A New Look — The Automotive Industry, Post-COVID: A Q&A

Andreas Schlosser, Alan Martinovich, Philipp Seidel

In a recent webinar, Andreas Schlosser, Alan Martinovich, and Philipp Seidel examined the state of the automotive industry and what it might look like after the pandemic. They urged industry players — manufacturers, dealers, distributors, OEMs, and the full supply chain — to make bold decisions right now to be ready for a “new normal.” In this Advisor, we share some of the answers to questions participants asked about the actions carmakers should take now to set themselves up to win in the post-corona era.


A New Look — The Automotive Industry, Post-COVID: A Q&A

Andreas Schlosser, Alan Martinovich, Philipp Seidel

In a recent webinar, Andreas Schlosser, Alan Martinovich, and Philipp Seidel examined the state of the automotive industry and what it might look like after the pandemic. They urged industry players — manufacturers, dealers, distributors, OEMs, and the full supply chain — to make bold decisions right now to be ready for a “new normal.” In this Advisor, we share some of the answers to questions participants asked about the actions carmakers should take now to set themselves up to win in the post-corona era.


5G Will Power the Next Evolutionary Step for the IoT

Agron Lasku, Hariprasad Pichai, Rebecka Axelsson Wadman, Sean McDevitt
The emergence of the IoT has led to a need for different characteristics and technical capabilities in cellular networks, which have continued to develop and will, with the emergence of 5G, address the key needs of the IoT. And with more and more “things” connected, leading to significantly higher connection density, the risk of interference increases. This has been another historical challenge to the IoT that 5G will address. All this means that 5G will enable an entirely new range of applications.

Getting Past Tradition: Expanding the Scope of EA in the Organization

Brian Cameron
While the goals of the traditional view of EA are still very valid today, this is not where the scope of EA should stop. If the EA organization wants to become a strategic partner with the business, the EA value measurement program must demonstrate that the EA team understands the key strategic metrics that the business values and can positively impact these key strategic metrics.

Utilizing AI to Extract Structure from PDFs

Shahane Eksuzyan, Sedrak Vardanyan, Raj Ramesh
In this Executive Update, the authors describe a system using AI technologies to automate data extraction to any one of many structured formats. The system performs minimal manual annotations to capture the semantics of specific sections for any particular document template. The authors highlight the business drivers behind such a system, describe the architecture of the system, show how the system performs compared to human-assisted analysis, and showcase examples of documents processed. In addition, they cover some difficulties around this process and share details about the neural network architecture they use to achieve high accuracy.

Next-Generation Analytics: Is it a Data Lake or a Data Mart?

Vince Kellen
The rise of cloud technologies and continued technical advances in computing architectures have dramatically altered how we design data warehouses, but we continue to see both IT staff and vendors continue to recreate the old data warehouse. As we explore in this Advisor, with the new technologies that are available, instead of having two architectures — one for data lakes and the other for data warehouses — a single “new rules” architecture can handle both.