Digital twins: How to build the first twin
Joshan Abraham, Guilherme Cruz, Tomás Lajous, Kayvaun Rowshankish, Rodney Zemmel, Sebastian Cubela, Sanchit Tiwari
The opinion paper is very short and light.
5 paragraphs including a checklist.
Why it’s relevant to Nextspace
The blueprint checklist is the reason Nextspace Partners should read this article.
To save you the time:
- What is the overall vision for digital twins?
- Which digital twins give our enterprise the greatest leverage and opportunities for reuse?
- What is the total value at stake?
- What are the highest-value, most feasible use cases we should deliver first, and what is the process to attribute value to digital twins?
- What data layers and attributes do we need to collect?
- How will we source and model the data?
- What models will be built on top of the data? What is the end-state architecture?
- How will the project team work together with business users to deliver the digital twin and use cases it supports?
Three other checklist items are added in the second section "Build the base twin"
- Build a strong, balanced data model
- Establish governance and benefits attribution from the start
- Ensure cross-team engagement
More recommended reads
A quick recap of the stages of Industrial Revolution - from 1760
An article that seeks to distance metaverse hype from the value of industrial digital twins
Dr Michael Grieves
IOT Solutions World Congress 2023
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.