About Qlik AutoML
Qlik Predict, formerly Qlik AutoML, is the automated machine learning component of Qlik Cloud Analytics. Analysts upload a training dataset, choose a target column, and the service selects and tunes algorithms, handles feature engineering and produces a ranked set of models without any code. It supports classification, regression and multivariate time series forecasting with automatic seasonality detection.
It is built for analysts and business users who need predictions without a data science team, though practitioners can use it to shorten model development. Every model includes SHAP based explanations that show which factors drive each prediction, and these visuals update as users explore the data. Deployed models write predictions straight into Qlik Cloud Analytics apps and dashboards, so scenario analysis and automated decisions happen inside the same governed environment as the rest of the analytics. Model lifecycle tracking, versioning and continuous learning keep deployed models auditable.
Qlik does not sell Predict separately; it comes with a Qlik Cloud Analytics subscription, and capacity based pricing is published on qlik.com. Starter is $300 per month for 10 users and 10 GB of data, Standard is $825 per month for 25 GB, and Premium is $2,750 per month for 50 GB, all billed annually. Enterprise starts at 250 GB and is quoted. Standard includes basic predictive capabilities; the full automated machine learning feature set arrives at Premium and Enterprise.
The product was renamed from Qlik AutoML to Qlik Predict, and older documentation and directory listings still use the earlier name.