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Introducing Our New Precedent Machine Learning Capabilities


         Hey guys, hope you are enjoying the new Qlik Community and the many relationships it fosters as well as the numerous resources it offers.  Today I want to introduce and demonstrate our new machine learning capabilities added to the Qlik Sense November 2018 release. At Qlik we have been talking about augmented intelligence for a while and we have delivered some great innovations, such as our new cognitive engine and the Insight Advisor; both released earlier this year. Now we have taken things to the next level and are yet again leading BI innovation with the release of precedent based machine learning.


         With any AI functionality, it requires to be constantly fed more and more information in order to get smarter and smarter. You could think of it as an inquisitive child. With the Qlik Sense November 2018 release, we've released features under the umbrella of what is called precedent-based machine learning. Precedent-based learning allows our cognitive engine to constantly learn from the data it sees, so it becomes a learning model. As it sees more data, it gets smarter and uses that to its advantage to give you better predictions and at the same time solicits user feedback so it can produce significantly smarter insights.


Watch this brief video to learn more and see these new capabilities in action. 




Can't see the video? YouTube blocked by your organization or region? Download the attached .mp4 to watch on your computer or mobile device.


Mike Tarallo (Twitter)





New Contributor II

It's these constant game changing improvements that Qlik Sense constantly brings us that inspire and energise me as a developer.  I think Qlik need to do more to push their selling partners to push the end users on to Sense rather than Qlik View.  I'm still seeing too many companies in the UK on Qlik View and missing  out on a much richer user experience.


Thank you Aworrall - your feedback is important to us. I will be sure to inform the appropriate parties of your suggestion. Keep the feedback coming!



Mike T