METANOWRepresent the physical system
A digital twin is a digital representation connected to a physical asset or process. Its usefulness comes from how faithfully it represents the real system and how current the relevant data is. A standalone 3D drawing is not automatically a connected twin.
Estimate what may happen
Predictive analytics uses historical and current data with statistical or machine-learning methods to estimate future outcomes. A prediction is an estimate with uncertainty, not an observed fact or guaranteed failure time.
How they work together
A twin can organise asset context and support scenario exploration; predictive models can add estimated conditions or risks. For example, maintenance teams might compare a trend with equipment history before deciding whether to inspect an asset.
Validate before acting
Check sensor quality, model assumptions and predictions against observed outcomes. Record uncertainty and monitor changes in operating conditions. Use a reviewed maintenance workflow rather than turning every forecast directly into a control command.
Sources & further reading
Reviewed 19 October 2026. This is a technology learning session; examples describe possible designs, not a claim that a particular integration is active.