Slack integration is now available as an Action in the ML pipeline, enabling direct data transfer from ML outcomes to a Slack workspace, addressing the need for swift communication of model outputs to business leaders. This enhancement facilitates the dissemination of data, such as results from RFM, recommended product, linear regression, and logistic regression models, to various organizational teams. Additionally, a new integration with Segment allows for the direct import of data from Web, Mobile, Server, and Cloud App sources into Datagran, enhancing the ability to construct ML data workflows. This integration with Segment supports data extraction from various libraries and empowers teams to create models using connections within a Segment account, offering flexibility in dataset selection through a Custom SQL Operator.