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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.

Predict, Explain, Act with Qlik AutoML, a powerful tool that brings automated machine learning to the hands of business users and data analysts. In this all new series, revist and learn how Qlik AutoML allows you to build predictive models without needing deep technical expertise in data science. Follow along in the next few videos linked in the description as Mike Tarallo walks you through the key features, from experiment to deployment, and see how Explain-ability is defined and used to gain insights that drive decision-making. Perfect for those looking to enhance their analytics with AI-powered predictions!

See how easy it is to create a Qlik AutoML Predictive Model.

It was the tale of two Kurts… Take it from our own Kurt Focht (and AI Kurt), our upcoming #AIRealityTour is your can’t-miss opportunity to network, gain actionable insights, and see our latest solutions in action.

Mike Tarallo from Qlik shares his story on how Qlik Answers helped him. Get ready for story time! You've had a taste of #Qlik Answers from last week's announcement, but now it's time for the juicy details. Allow Mike to share how #QlikAnswers saved him over $8,000! And no, this isn't an ad—just an amazing experience Mike had to tell you.

Qlik Answers offers a solution with Generative AI and Retrieval-Augmented Generation (RAG) allowing you to create conversational experiences with your data that exists in unstructured forms. Users can ask questions and receive reliable, consistent answers with links to source content, enhancing decision-making and business performance. Unlike other solutions, Qlik Answers is an out-of-the-box, self-service tool that simplifies deployment, reduces complexity, and ensures high security and compliance.

The latest update to the App Analyzer brings a new feature: session-level data. Now, the App Analyzer can answer vital questions, such as which users are accessing which applications, how long they stay in each app, what sheets they use, the duration on each sheet, and the frequency of navigation between sheets. It also tracks the number of concurrent users within an app or across all apps in the tenant.