In this Code Pattern, we will use German Credit data to train, create, and deploy a machine learning model using IBM Watson Machine Learning on IBM Cloud Pak for Data. We will create a data mart for this model with Watson OpenScale and configure OpenScale to monitor that deployment, then inject seven days' worth of historical records and measurements for viewing in the OpenScale Insights dashboard.

The new Watson Conversation Slots feature allows you to create a complex dialog with fewer nodes. Using slots in this example, we can define the fields in one dialog node and handle the logic in a single node.