Qlik AutoML (Automated Machine Learning) is a feature that simplifies the process of building machine learning models within the Qlik analytics platform. AutoML is designed to make it easier for business users, analysts, and data scientists to deploy machine learning algorithms on their data without requiring extensive coding or data science expertise.

Key Features of Qlik AutoML:

1. Automated Feature Selection: Automatically selects the best features or variables for the model based on their importance and impact on the outcome.
2. Model Tuning: AutoML takes care of hyperparameter tuning and model selection, aiming for the best possible performance metrics.
3. Easy Integration: Easily integrate machine learning models within Qlik Sense dashboards or QlikView reports.
4. Evaluation Metrics: Provides various metrics such as accuracy, F1-score, ROC curve, etc., to evaluate model performance.
5. Explainability: Offers insight into how the model makes decisions, making it easier to trust and understand the machine learning model.
6. Deployment: Enables easy deployment of the machine learning model within Qlik or in other operational systems.
7. Real-time Prediction: Allows for real-time analytics and predictions, enhancing the decision-making process.

How to Use Qlik AutoML:

1. Data Preparation: Prepare your data within Qlik and select the dataset you want to work on.
2. Model Building: Navigate to the AutoML feature and select the type of machine learning model you want to build (classification, regression, clustering, etc.).
3. Configuration: Specify the target variable and the features, if necessary. Otherwise, AutoML will automatically select them for you.
4. Train Model: Hit the ‘Train’ button to let AutoML build and validate the machine learning model for you.
5. Evaluate: Review the performance metrics and understand the model’s efficacy.
6. Deploy: Once satisfied, deploy the model into your analytics workflow or into other systems.
7. Interpret Results: Use the built-in interpretation tools to understand the model’s outcomes and decisions.

Qlik AutoML provides a user-friendly, efficient, and effective way to incorporate machine learning into your analytics process, making predictive analytics more accessible for business users and data experts alike.