A digital twin is a virtual representation of a physical asset, process, or system. By connecting operational data to that representation, teams can observe behaviour, test scenarios, and make better-informed decisions.
The value of digital twins in service management
Real-time visibility helps service teams understand the state of infrastructure before a failure becomes a wider interruption. Historical and live data can also support capacity planning, maintenance decisions, and coordinated response.
Public services and defence operations
Municipalities can model transport, water, energy, and facility systems to understand demand and detect anomalies. Defence organisations can use digital twins to support asset readiness, maintenance planning, and controlled scenario analysis.
Production and product development
In industrial environments, digital twins support predictive maintenance, process optimisation, quality analysis, and virtual prototyping. Teams can evaluate changes before applying them to a live production system.
The next step
As artificial intelligence and data platforms mature, digital twins will become more useful for resilient infrastructure and evidence-based operations. Their value depends on trustworthy data, a clear operational purpose, and responsible governance.
Muratcan İğdeli
General Manager, INOSAS