Summary

In this chapter, we started to move toward the practical implementation of machine learning models with Qlik. To prepare for the coming chapters, we installed different environments.

First, we went through the installation of the R environment and the Advanced Analytics connection from a client-managed Qlik Sense instance in R. We covered the steps to run the components as a service and created a simple sample application to verify the functionality.

We also installed a Python environment and connected that to our Qlik environment using Advanced Analytics Integration. We demonstrated the functionality of this environment using an example application. At the end of this chapter, we moved from on-premises into cloud environments and discovered how to create connections to external AI and machine learning platforms using REST. We also did a few setup steps for our AutoML environment to get it ready for our coming chapters.

In the next chapter, we will investigate the...