Data quality using artificial intelligence

Embodiments improve data quality using artificial intelligence. Incoming data that includes a plurality of rows of data and a trained neural network that is configured to predict a data category for the incoming data can be received, where the neural network has been trained with training data including training features, and the training data includes labeled data categories. The incoming data can be processed, where the processing extracts features about the plurality of rows of data to generate metadata profiles that represent the incoming data. Using the trained neural network, a data category for the incoming data can be predicted, where the prediction is based on the generated metadata profiles.