Infuse artificial intelligence into your application

From there, we'll analyze the data using a Jupyter notebook with Brunel visualizations. Finally, we'll use Spark machine learning library to create a model that predicts customer churn risk. The model will be deployed as a web service and used for inference in an application. This code pattern demonstrates the use of a Jupyter notebook to interact with Db2 Warehouse, Brunel visualizations, and Spark machine learning library -- from the creation of database objects to advanced analytics and machine learning model development and deployment. This code pattern is built on IBM Cloud Pak for Data, an open, cloud-native information architecture for AI.