ASSET HISTORY BASED SERVICE PREDICTIONS

原文（中文）

Methods, systems, apparatuses, and computer program products are described. A data processing system may ingest asset service action history data from data sources of different data organization models via clicks from a user, generate at least an asset service action training data set from the ingested data, and train an asset management model to predict future asset service actions using the asset service action training data set. The different data organization models may include data objects including cases, work orders, asset identifiers, and products. The data processing system may transform the ingested asset history into the asset service action training data set according to a configurable unified data model. The future asset service action predictions may be based on a binary classification system, and may indicate a likelihood of performing a second asset service action type on an asset type based on an inputted first asset service action type.