Creating real-time predictions

Use your ML deployment to predict future outcomes on new data.

Predictions can be made in real time using the prediction API, such as real-time decisions about customer discounts at checkout. When predictions are generated, you can load the predictive insights into a Qlik Sense app. This lets you visualize and interact with the data and create what-if scenarios.

Using the real-time prediction API

The Real-time predictions pane in the ML deployment interface gives you access to the real-time prediction API.

The real-time prediction API is a two-way communication between AutoML and other capabilities in Qlik Cloud, including Qlik Sense and Automations, as well as external applications. You can use the API to programmatically make predictions by passing data to a model and retrieve the prediction results in real time.

Requirements

• An API key is required to use the real-time prediction API. A user must have the Developer role in the tenant to generate an API key.

  For more information about the prediction API, see AutoML Real time Predictions.

• The source model for the ML deployment you are using must be activated for making predictions. For more information, see:

  • Approving deployed models

  • Working with model approval as an administrator

• You need the correct permissions for working with ML deployments and predictions. This includes security roles and space roles. See Working with ML predictions.