DISCOVERY, MAPPING, AND SCORING OF MACHINE LEARNING MODELS RESIDING ON AN EXTERNAL APPLICATION FROM WITHIN A DATA PIPELINE

A data pipeline configuration system allows industrial data pipelines to be configured using an intuitive visual interface. The pipeline configuration system allows graphical pipeline components representing data sources, data processing, analytic or machine learning models, and emitters to be selectively added to an industrial data pipeline application by selecting these components from a library. The pipeline configuration application is created by arranging and linking these selected pipeline components within a pipeline builder section of the configuration system's visual design interface. The design interface also allows analytic or machine learning models to be easily integrated into the pipeline application and mapped to incoming data items, such that the model is applied and scored against incoming data during pipeline operation. The configuration system also allows the user to configure destinations or data sinks for the pipeline data, including both the incoming industrial data and model scoring results.