Fabric Data Agent #fabriciq
2 items tagged with "fabriciq"
đź“„ Articles
Feb 19, 2026
Beyond the Star Schema: Why Ontologies are the New Requirement for AI-Ready Data
Relational data models weren’t designed for AI or natural language, so while they store data well, they fail to capture business meaning—making accurate, trustworthy AI querying difficult. Fabric IQ addresses this by introducing an ontology layer that sits above existing data, explicitly modelling business concepts, relationships, and rules without requiring data to be moved or reshaped. Combined with Fabric Data Agents, this enables AI to navigate defined meaning rather than guess it, improving query accuracy, consistency, and scalability for enterprise analytics.
Mar 26, 2026
Ontologies: What Do I Mean vs What Do I Want?
The article argues that prompt‑heavy approaches to natural language querying are fundamentally brittle because they force LLMs to manage meaning, preference, and logic simultaneously—something they are not designed to do, leading to ambiguity and inconsistency in enterprise analytics. It positions Fabric Data Agents as a more structured alternative, where instructions are deliberately scoped to behaviour and intent, while meaning is externalised—reducing the fragility seen in traditional prompt stacks. Fabric IQ is presented as the key enabler of this shift, providing ontologies as a first‑class semantic layer that lets agents move from inferring business meaning to reliably navigating explicit definitions, making natural language over enterprise data more consistent and scalable.