Inference data is used to make predictions or inferences with a trained machine learning (ML) model. It is the input data that is fed into the trained model, which then produces a prediction based on the relationships it has learned from the training data.

Inference data can differ from the training data used to train the ML model. For example, the training data might be historical data from a certain period, while the inference data might be real-time data from the present.