Microsoft’s IQ method brings together different kinds of intelligence. It uses enterprise data, existing AI models, regular job tasks, and outside signals. Instead of leaving each input separate, it connects them. That way, AI tools and agents have more useful context while they work.
Things change once companies move beyond simple AI chat tools. After that, they use agents that can handle more than one type of input. These agents should pull meaning from separate places, not just one feed. They can also take on daily tasks that connect back to work linked to business goals.
Microsoft IQ brings together four key intelligence layers: Fabric IQ, Foundry IQ, Work IQ, and Web IQ. Each layer focuses on a different form of information and intelligence.
- Fabric IQ focuses on enterprise data,
- Foundry IQ connects AI agents with relevant knowledge,
- Work IQ adds workplace context,
- Web IQ brings external information into the picture
Together, these layers can provide a broader foundation for connected enterprise intelligence.
What Is Microsoft IQ?
Microsoft IQ works like a connected intelligence model. It brings together many kinds of business data and outside signals. It links company records, AI features, help from the workplace, daily work signals, and web information. This helps give smarter apps more useful context.
How Microsoft IQ Connects Different Sources of Intelligence
Microsoft IQ connects different intelligence layers that address specific information needs within and outside an organization. Fabric IQ focuses on enterprise data, Foundry IQ supports AI agents and relevant knowledge, Work IQ provides workplace context, and Web IQ brings external information into the picture. When these sources are connected, AI systems can work with a broader range of information rather than depending on one source. This creates a more complete context for business analysis and intelligent workflows.
The Role of Data, AI, Applications, People, and External Information
A connected intelligence environment depends on several elements working together. Business records hold the facts, AI helps with thinking and back and forth interaction, Software runs the tasks that move work forward, People add what they learn in daily efforts.
Extra details give more background on the market, the competitors, and the wider industry, plus how things can shift over time.Bringing these elements together can help organizations create AI experiences that are more relevant to real business situations.
The Four Intelligence Layers Behind Microsoft IQ
- Fabric IQ: Works with company data. It helps teams link data from separate systems and different analysis tools. It builds a base layer for reporting, analytics, and AI-driven features.
- Foundry IQ: connects AI agents to useful business facts and context . It provides the context agents need to generate useful responses and support intelligent business workflows.
- Work IQ; focuses on how people and organizations work, including workplace knowledge, collaboration, activities, and workflows. It provides AI with additional context about how work happens across an organization.
- Web IQ: brings relevant information from the web and external sources into AI experiences. It adds broader context around markets, industries, competitors, and changing external conditions.