The internet of things (IoT) is key to making the application of large-scale digital twin modelling affordable for a range of manufacturers. Digital twin technology uses cloud-connected sensors embedded in machines to upload real-time operational data, producing up-to-date virtual simulations of real-world machines. Manufacturers can then use edge analytics to analyze and evaluate how their products are performing in the field. The ultimate goal: Have a digital twin running for every real-world asset in the field, with the digital twin updating its status as it receives operational data.