Recently, Datagran has enhanced its integration with Segment by introducing Segment as an Action, allowing companies that use Segment as a Customer Data Platform (CDP) to send machine learning model outputs created in Datagran back to Segment for further distribution to various business applications. This development simplifies the process of running predictive analyses by enabling a seamless data flow between Datagran and Segment, eliminating the need to manually connect multiple applications and cloud servers. Companies can now easily connect Datagran to Segment, extract and analyze data, and then send the results back to Segment, which can then update or create user profiles and distribute insights to relevant business applications. This streamlined pipeline facilitates faster operations and efficient data handling by leveraging Segment's capacity to queue and batch-process messages, ensuring the Action remains reliable without crashing from message overload.