Sep 17, 2026 · 27 min · 18 segments
In its first season, Tech 101 features “Digital Twins: Testing the Future Before It Happens,” an exploration of one of today’s most fascinating emerging technologies. Digital twins are virtual…
I love this, this topic about digital twins and be able to test the future before it happens.
So one question that kind of thought I thought of as we, I was building out my notes today is what if engineers could test a factory, a building aircraft, or even an entire city without risking damage to the real thing or to people.
So I think this matters because testing changes on physical systems are can be expensive, disruptive, or as I mentioned, dangerous, right? So digital twins, or kind of like a sandbox, allow organizations to monitor real systems and explore possible outcomes virtually, and they can support better maintenance, planning, design, and decision making as well.
A digital twin is a virtual representation of a real object, system, process, or environment.
It receives real-world data from sensors and other sources, allowing it to reflect current conditions and stimulate future outcomes.
Yes, I think what's really great about having a digital twin versus a digital model on a system is that it's able to better replicate, like you said, what the real world would be like in a production environment, right? So what I've seen most often with digital models or sandboxes in that traditional sense is that you may have problems with those and they may not always be accurate or you may just have general issues with them.
But if you create a digital twin, it's going to be replicating that without, as, as we mentioned, making those changes in the real environment.
A digital twin continuously updates using real-world data, making it more dynamic and closely connected to the physical system it represents.
Yes, I think what it allows us to do is to test things on a different, different scales, right? So you can have a specific set of individuals tested out and then give you feedback on it.
And you can be able to make those changes pretty, I think pretty quickly in its scale versus other types of archaic systems, maybe that may not work as well.
Digital twins can simulate different scenarios, such as equipment failures, traffic increases, extreme weather, or changes in production.
Organizations can study possible results before making costly decisions in the real world.
I love this, this topic about digital twins and be able to test the future before it happens.
So one question that kind of thought I thought of as we, I was building out my notes today is what if engineers could test a factory, a building aircraft, or even an entire city without risking damage to the real thing or to people.
So I think this matters because testing changes on physical systems are can be expensive, disruptive, or as I mentioned, dangerous, right? So digital twins, or kind of like a sandbox, allow organizations to monitor real systems and explore possible outcomes virtually, and they can support better maintenance, planning, design, and decision making as well.
A digital twin is a virtual representation of a real object, system, process, or environment.
It receives real-world data from sensors and other sources, allowing it to reflect current conditions and stimulate future outcomes.
Yes, I think what's really great about having a digital twin versus a digital model on a system is that it's able to better replicate, like you said, what the real world would be like in a production environment, right? So what I've seen most often with digital models or sandboxes in that traditional sense is that you may have problems with those and they may not always be accurate or you may just have general issues with them.
But if you create a digital twin, it's going to be replicating that without, as, as we mentioned, making those changes in the real environment.
A digital twin continuously updates using real-world data, making it more dynamic and closely connected to the physical system it represents.
Yes, I think what it allows us to do is to test things on a different, different scales, right? So you can have a specific set of individuals tested out and then give you feedback on it.
And you can be able to make those changes pretty, I think pretty quickly in its scale versus other types of archaic systems, maybe that may not work as well.
Digital twins can simulate different scenarios, such as equipment failures, traffic increases, extreme weather, or changes in production.
Organizations can study possible results before making costly decisions in the real world.
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