Systems | Development | Analytics | API | Testing

Worried an AI teammate could rack up a surprise bill? In this video, you’ll learn how SmartBear BearQ gives you real governance over AI testing spent – built with pre-baked monthly limits, so your team always knows what to expect before a single agent gets to work.

Semantic Models in Data Products bring shared meaning into the data product itself, giving analytics and AI the context to understand your data. You define measures, dimensions, and relationships once, in a visual, versioned model. Link measures and dimensions to business glossary terms, so your business definitions flow into your applications. AI suggestions recommend relationships as you build. And because they are packaged directly in the data product, definitions and context, lineage, ownership, and trust scores carry automatically wherever the data is used.

New in the October Product Recap: Qlik Answers gets a streamlined architecture, custom skills, and advanced reasoning driven by the Qlik analytics engine. Advanced reasoning unlocks a new level of analytical insight, allowing AI to go beyond "what happened" into causal, comparative, and predictive insight, and even run simulation, optimization, and counterfactual analysis for recommendations that guide action. And, we are expanding the Qlik Engine’s ability to unlock the power of gray through AI, for insight into “what’s not” – hidden opportunities outside the query criteria.

Try new capabilities on your terms with Feature Preview. You can now browse upcoming features, turn them on for yourself, and turn them off whenever you like, with no waiting. You can share feedback on what you test, and tenant admins control who has access, so rollout stays managed at the organization level. Look for the feature preview section in your user profile settings. Generally available September 9th.