PRE-PROCESSING RAW DATA IN USER NETWORKS TO CREATE TRAINING DATA FOR SERVICE PROVIDER NETWORKS

Techniques for a service provider network to provide users with software components that pre-process raw data stored in user computing networks to generate training data that is usable by artificial-intelligence (AI) services. The AI services may utilize models to provide various functionality to users, and the users may desire to train the models with data sets that are specific to their data sets. The service provider network can develop software components that are configured to process raw data into training data for various AI services. The software components can be provided to the user computing networks and executed locally, rather than the raw data having to being moved from the user computing network and to the service provider network. The training data can then be sent to the service provider network and used by the AI services to train ML models for use by the user.