Version control enables developers to collaborate on projects across spaces and tenants - Thanks to a branching strategy, they can isolate a feature and edit a project without affecting the ‘Main'. This demo video illustrates how to get started with version control for your Qlik Talend Cloud projects.

Discover how Qlik Talend Cloud empowers DataOps with automated schema evolution, enabling scalable, agile pipelines that are low-maintenance and optimized for low latency.

The new export & import APIs offer a programmatic way to export and import projects across tenants and spaces for deployment purposes. This video illustrates the use of these 5 new API endpoints in the context of a deployment use case for your Qlik Talend Cloud projects.

Experience it for yourself.

Qlik Anonymous Access is an exclusive, new capability that enables organizations to share analytics insights with a public audience easily. It leverages Qlik Cloud’s secure and scalable platform, allowing you to embed Qlik Sense apps, dashboards, and visualizations into websites or third-party applications using shareable links or our new Qlik Embed APIs. With Anonymous Access, no login credentials are required, simplifying engagement with embedded analytics.

Watch as an HVAC manufacturer's customer service rep leverages Qlik Answers to provide instant, accurate information to a HVAC contractor, inquiring about a replacement air conditioning system. This video showcases how Qlik Answers uses simple natural language question to turn technical queries into clear, actionable insights, enabling the rep to quickly address compatibility issues, warranty details, and installation guidelines and more.

In this video, we breakdown the analytics you can create from the provided Coordinate SHAP data when used within Qlik AutoML. SHAP data helps determine the WHY behind the machine learning model predictions. Learn how SHAP values break down the influence of individual features on specific outcomes, helping you gain deeper insights into model behavior. This is part 5 of the Qlik AutoML series, focusing on making machine learning more interpretable for users.

This video shows you how to add the SHAP data to your Qlik Sense App - so you can prepare analytics about the influencers behind the predictions and eventually use this data to explore some new predictive scenarios with our Qlik AutoML connector.

This video briefly describes the Explain-ability data also known as SHAP data. Next video will be released shortly!

This video shows you how to use the predictive model data created in video 1 to create a very simple predictive Qlik Sense App.