Signal Digital twins at 90-95% predictive accuracy against 60-70% for legacy monitoring

Summary

This signal compares the forecasting accuracy of digital twins with that of conventional monitoring. Digital twins are live virtual copies of physical objects, processes or systems, and EY treats them as one of the three building blocks of the superfluid enterprise. The most advanced deployments are said to predict outcomes with 90% to 95% accuracy. Traditional monitoring systems, by comparison, reach only 60% to 70%. EY argues that this transparency lets people keep oversight even when operations run autonomously, for example when AI agents handle most of a finance function and the twin produces auditable real-time models of it. The gap suggests that twins could become the control layer for heavily automated organizations.