This article discusses the challenges of deploying machine learning models in production and presents a solution using AWS Glue workflows and Amazon SageMaker. It demonstrates how to build an end-to-end ML training pipeline for retraining and inference, using the DBpedia Ontology classification dataset and the BlazingText algorithm.
