System and methods for automated standardization of heterogeneous data using machine learning

Abstract

At least some embodiments are directed to a large-scale data standardization system. The system receives a set of documents with records formatted according to a third-party data schema. The system utilizes a first machine learning model to select a document from the set of documents. The system utilizes a machine learning model to select data classification labels formatted according to the third-party data schema. The classification labels are associated with a set of records. The system utilizes a second machine learning model to generate a canonical data structure constructed according to a standardized data schema based on the classification labels and the records associated with the classification labels.

CPC Classifications