Digital twin
A simulation model of a process that lets you test scenarios ("what if we automate this step at 90% accuracy?") before deploying, including modeling failure and running sensitivity analysis to find the break-even accuracy. At small scale, an honest pilot on real cases serves the same purpose.
Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Business AI Transformation.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A virtual, data-driven model of a physical production system (a machine, a line, or an entire plant) used to simulate, predict, and optimize operations. Digital twins that consume production data across multiple sources are a common trigger for the maturity-domain and data-aggregation questions covered in this topic.
A simulation model of a process that lets you test scenarios ("what if we automate this step at 90% accuracy?") before deploying, including modeling failure and running sensitivity analysis to find the break-even accuracy. At small scale, an honest pilot on real cases serves the same purpose.
A working model of a real operation (such as a supply chain) in which planning teams test scenarios, like a supplier failing or demand spiking, before committing decisions in the live operation.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- AI for Innovation: Predictive Analytics Applications · Advanced AI Literacy, AI Literacy & Professional Conduct
- Current-State Process Mining · Diagnose the Organization, Business AI Transformation
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.