Hi ChatGPT, I am going to interview you about your thoughts about the future of the Metaverse and future use cases and business models that will be derived by large language models like yourself.

— ”Hello! I would be happy to share my thoughts on the future of the Metaverse and the potential uses and business models for large language models like myself. Please let me know what specific questions you have in mind.”

The term Digital Thread made its first appearance in a 2013 Global Horizon report, but wasn't officially defined until 2018 when Singh & Willcox at MIT wrote about Digital Threads in a white paper titled "Engineering with a Digital Thread". In this academic essay the term Digital Thread is described as "a data-driven architecture that links together information generated from across the product lifecycle and is envisioned to be the primary or authoritative data and communication platform for a company’s products at any instance of time."

So what exactly is a data fabric? Data fabrics are the best means of storing, networking, and contextualizing data that we have today. Data fabrics give us the best shot of getting to this highly connected Industrial Metaverse. So what are the key features and advantages of data fabric architectures?

Einstein made a great comment: “No problem can be solved from the same consciousness that created it.” Or in other words, the thinking that you use in order to identify a problem is probably not going to be the same thinking that you're going to use in order to solve that problem.

One of the first foundational technical prerequisites for the Industrial Metaverse is the need for digital twins that precisely simulate reality in a reactive real-time bi-directional, synchronous, high-fidelity, closed-feedback-loop process. Therefore, while the word “digital twin” represents imprecise terminology, its true definition requires far more adjectives. Such futuristic “digital twins” would thereby act as virtual reality representations of assets, systems, and networks.