Customer relationship management service provider Salesforce has released as open source the automated model-building engine that the company uses for its Einstein AI-driven platform. The TransmogrifAI library can be used to build highly-automated machine learning workflows that run on Apache Spark, using the relational data that all organizations keep on hand. TransmogrifAI (pronounced trans-mog-ri-phi) addresses one of the major challenges of setting up machine learning (ML) in production settings, that of establishing a workflow for quickly developing and testing models, which can be used to predict future outcomes. "It automates the entire machine learning workflow. You can build a good machine learning model on a given dataset in a couple hours, instead of weeks or months," Shubha Nabar, Salesforce's senior director of data science for Einstein.