"The system combines an ontology model, semantic models, and AI agents to convert business data into real-time decision-making. According to Microsoft, organizations are drowning in data without understanding the semantics. For example, an airline does not think in terms of tables and schedules, but in terms of flights, passengers, and delays. However, that meaning lives in people's minds. Teams use their own definitions and reports. AI systems can read data, but they lack the business context to make reliable decisions."
"Fabric IQ solves this with a high-level ontology model. This is a model that captures what is important, how things are related, and what actions are possible. The ontology links to live data in OneLake via various engines for analytics, real-time, time series, and geographic data. The system builds on existing Power BI models. More than 20 million semantic models form the starting point. The company promises that organizations can start their ontology from these models with just a few clicks."
Fabric IQ adds an intelligence layer that maps business meaning onto data, enabling real-time decision-making through an integrated ontology, semantic models, and AI agents. The ontology captures important entities, relationships, and possible actions, and links to live OneLake data across analytics, real-time, time series, and geographic engines. The system leverages over 20 million existing Power BI semantic models to accelerate ontology creation. An Operations Agent continuously monitors context, evaluates considerations, executes actions, and learns from outcomes while allowing organizations to configure human approval and automation boundaries. Fabric IQ integrates with Foundry IQ and Work IQ across Microsoft’s stack.
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