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Video 4 – Machine Learning Services for Augmented Analytics

Welcome to the fourth video in our AI and ML blog series. In this video, we demonstrate integrated AI and ML services built into our platform at a foundational level, designed to support augmented analytics in a seamless and transparent way.

Analysis types in Qlik Sense allow the user to generate sophisticated automated insights, complete with multiple visualizations and NLG, in a few clicks. Many of these take advantage of advanced analytics and machine learning under the hood. You will see several of these in action.

Next, we’ll demonstrate an exciting new feature you saw at Qlik World (that we are releasing soon) – key driver analysis. As a refresher, key driver analysis is the systematic identification of influencers on a target field, or simply put, identifying which values in your data set are driving the values of a metric that you have identified. Users may wish to know what factors are influencing sales in a particular region, or what is influencing a recent fluctuation in churn.

Using the AutoML engine under the hood, we can analyze the data using powerful ML techniques and generate this valuable insight for analytics users. The best part is you can do this directly in Qlik Sense, without even having to load a training data set or set up an ML experiment. This highlights our direction of surfacing our powerful foundational services in a number of different ways, making valuable insights more accessible to a wider range of users.

Video 4 – Machine Learning Services for Augmented Analytics


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By analyzing vast amounts of data, machine learning algorithms can identify patterns, make predictions, and generate valuable insights that enable people gain a complete understanding and take the best action to affect future outcomes. With key driver analysis, our recent release of real-time connectors for OpenAI, and more features on the way, we are continuing to push the bar higher with new AI-driven capabilities for our users.

During this series, we describe our unique approach to AI and ML, demonstrate existing and new capabilities for Augmented Analytics in Qlik Sense, AutoML and Predictive Analytics, and offer a look at our future direction and what’s coming next. Stay tuned for the final two blogs in which we will be diving into our AutoML capability in full detail, starting with an explanation of AutoML and then a detailed demo.

AI & ML Path Forward Series:
Read Part 3 - Fully Integrated AI and ML
Read Part 2 - Automated Insights through Insight Advisor in Qlik Sense
Read Part 1 - Qlik's Fully Integrated AI and ML Capabilities