Digital twin
A living digital model of a real product, process, asset, or system that is updated with real data.
Best suited to work like this.
Process understanding, asset monitoring, virtual commissioning, capacity scenarios, maintenance, training, and optimization.
The intelligent task.
Represent state, combine context and telemetry, simulate scenarios, compare expected with actual behavior, and support prediction or optimization.
Allows teams to understand, test, and improve products, assets, or processes digitally before changing the physical system.
Where it performs well: Combines engineering understanding and live data to explore changes without immediately disturbing the real system.
Digital twins have demonstrated value in engineering and operations, while scaling depends on model fidelity, live data, and maintenance.
- Emerging
- Demonstrated
- Scaling
- Established