When San Francisco wanted to understand more about the pockets of poor air quality plaguing the downtown area, they turned to a unique way of modeling the real world digitally. Using a digital twin, the city monitored the air quality, along with the travel patterns of cars on city streets and boats in the port.
A digital twin is a simulation that uses machine learning to provide insights into your business. Your simulation’s precision will depend on how you build it; the more sensors that you add, the more precise it will be. From that simulation, you can gain insights into your equipment, a specific process, or each process within your entire company.