Digital twins function by integrating Internet of Things (IoT) sensors, data analytics, and machine learning algorithms. These components work together to collect and analyze data from the physical world, updating the digital model in real-time. The digital twin can then predict outcomes, optimize performance, and identify potential issues before they arise.