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Qlik gives business metrics a shared definition for AI

Semantic Models targets general availability on 28 October, while extraction from existing applications begins in public preview.

Qlik introduced Semantic Models on 28 October, putting reusable business definitions into its data products. The aim is to carry established measures and relationships between applications and AI experiences.[1]

For net revenue, the sales records are only part of the answer: returns, discounts and reporting periods determine what gets counted. A shared definition gives different applications the same rule to apply.[1]

Availability

The announced availability schedule

The announced availability schedule
CapabilityStatus on 28 October
Semantic ModelsGeneral availability targeted where Data Products is available.
Extract definitions from existing Qlik appsPublic preview; general availability planned later in Q4.
Qlik Answers and MCP supportTargeted for the core release or shortly afterwards.

Eligible products are Qlik Cloud Analytics and Qlik Talend Cloud Premium and Enterprise editions, plus Qlik Sense Enterprise SaaS. The reusable definitions sit alongside dataset ownership, lineage and quality information.[1]

Follow the evidence

Sources & further reading

  1. Semantic Models for analytics and AI Qlik / GlobeNewswire · 28 Oct 2026 · Accessed 28 Oct 2026