Digital Twins and the Next Generation Simulation Engine - RTInsights

By running simulations of different scenarios, a digital twin offers an accurate reflection of the current state versus the future state and can provide the insights needed for making evidence-based decisions. Digital twins have become a major part of operational excellence in recent years. Originally developed as a way to replicate the physical world in virtual form, they now play a prominent role in forecasting and planning future scenarios. Their adoption is also extremely varied, from manufacturing plants identifying bottlenecks in production, contact centers allocating resources to manage surges in demand, hospitals looking to reduce a backlog of appointments, or indeed any type of business looking to combat operational inefficiencies – there's a twin for them all. So much so that it's become something of a buzzword, but there are other relevant buzzwords here too. For one, every new piece of technology now seems to have artificial intelligence and machine learning as part of its engine, developing highly targeted insights on which to build more personalized or sophisticated services.