We went to Qlik Connect 2026 with one thing in mind beyond the sessions: sit down with people from the community and record it from the Data Voyagers Lounge. That's Community Talks. Six conversations, filmed on the spot, with no prepared questions and no scripts. Just a camera and a chair. Ravit Jain, Mark Meersman, Andreas Handelöv, Kate Golden, Matt Guilfoyle, Martin Kostic. All six are on the Data Voyagers YouTube channel now. We also recorded two podcast episodes while we

When people talk about Artificial Intelligence, the conversation often starts with fear. One question keeps returning: Are you afraid AI will replace you? It is a simple question, but to be honest, it creates the wrong frame. It presents AI as a competitor, a threat, or even an enemy. That framing closes the door to a much more useful and hopeful conversation. The more important question is not whether AI will replace people. The real question is how AI can amplify people.

When your model learns more than it should There is a quiet assumption in most machine learning projects. If the model is accurate, then it must be good. That assumption works well, until the model starts making decisions about people, money, risk, or opportunity. Then accuracy alone is not enough. A model can be very accurate and still systematically treat groups differently. This is the ninth article in our series "The Theory behind Qlik Predict". So far, we have talked a