Embodiments of this application disclose a data processing method and a data processing apparatus, to improve prediction accuracy of an AI task model. The method in embodiments of this application includes: obtaining a plurality of types of data, where all of the plurality of types of data have different sources and different data types; performing knowledge extraction on the plurality of types of data to obtain a knowledge graph, where the knowledge graph includes a plurality of knowledge entities and an association relationship between the plurality of knowledge entities, and the plurality of knowledge entities include different data types; and performing knowledge representation on each knowledge entity by using a knowledge representation algorithm corresponding to a data type of each knowledge entity, and initializing a weight of the relationship between the plurality of knowledge entities in the knowledge graph, to obtain a vector graph, where the vector graph is used to train an artificial intelligence AI task model.