AI Jargon Buster
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What is a Digital Twin?
A digital twin is a virtual model that acts as a real-time digital counterpart of a physical object, process, or system. By feeding data from the real world into the model, companies can simulate how the physical version will perform under different conditions. This allows for testing changes without risking the actual equipment or workflow. It bridges the gap between the physical and digital worlds by using sensors and software to mirror the status of a real asset. When the physical object changes, the digital twin updates to reflect that change, providing a live view of performance and health.
Why this matters to you
It helps businesses predict maintenance needs, reduce costly downtime, and optimize efficiency by experimenting with complex scenarios in a safe digital environment before applying them to the real world.
How you might hear this
The manufacturing plant created a digital twin of the assembly line to test how new AI-driven robots would affect production speed.
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