Microsoft IQ Overview (Work IQ, Foundry IQ and Fabric IQ)

Summary

This video provides an overview of Microsoft IQ, explaining how it empowers AI agents with enterprise-level knowledge and context. It introduces three key components: Work IQ, which personalizes and remembers user interactions; Foundry IQ, which curates and controls specific knowledge sources for agents; and Fabric IQ, which adds operational intelligence and business rules to AI models. Together, these elements allow AI to understand and interact with complex enterprise data, improving decision-making and operations. The goal is to equip AI with the same level of knowledge and context as human employees to drive effective actions across the organization.

Takeaways

• 😀 Microsoft IQ is designed to provide AI agents with enterprise knowledge and context, enabling them to perform tasks effectively like human employees.
• 😀 AI in enterprises adds value by enhancing employee productivity, reimagining operational processes, creating new customer experiences, and accelerating innovation.
• 😀 The current AI models are trained on public data and require additional enterprise-specific data to be effective. The quality of the input data directly impacts AI performance.
• 😀 Microsoft 365 (M365), Dynamics 365, and the Graph API provide a semantic index that helps users find relevant information, but it doesn't yet understand the relationships between enterprise data.
• 😀 There is a need for a more comprehensive understanding of enterprise data, which includes tools like PowerBI and semantic models to map data to business processes.
• 😀 Microsoft IQ aims to give AI agents the same level of contextual knowledge and reasoning that human employees have to perform their jobs efficiently.
• 😀 **Work IQ** adds personalization and memory to AI agents, allowing them to learn how individuals work, their objectives, team collaboration, and company rhythms.
• 😀 **Foundry IQ** offers a curated and AI-powered search of trusted knowledge sources, ensuring that AI agents use only the most relevant and specific data for decision-making.
• 😀 **Fabric IQ** allows the integration of enterprise data with operational business context, defining entities, relationships, and rules that guide AI agents' actions and operations.
• 😀 AI agents built using Microsoft IQ can interact across various platforms like Agent Builder, Co-Pilot Studio, and Microsoft Foundry, offering a flexible approach to deploying and managing agents.
• 😀 Microsoft IQ is not just about data retrieval; it provides a unified control plane for operations, enabling AI agents to take action and make decisions, improving governance and protection through tools like Agent 365 and Entra.

Q & A

What is Microsoft IQ?

Microsoft IQ is an integrated system designed to provide AI agents with enterprise-level knowledge and context. It enables agents to access various types of data and relationships within the organization, ensuring that they can perform tasks and make decisions with comprehensive business intelligence.

How does Microsoft IQ help AI agents in understanding enterprise knowledge?

Microsoft IQ provides AI agents with a comprehensive understanding of enterprise knowledge by combining multiple data sources such as documents, emails, customer signals, and more. It helps AI agents gain insights into the relationships between data, rules, and policies, similar to how a human employee understands and performs their job.

What are the three types of IQ in Microsoft IQ, and what do they represent?

The three types of IQ in Microsoft IQ are Work IQ, Foundry IQ, and Fabric IQ. Work IQ focuses on personalizing AI by learning how employees work, Foundry IQ deals with curated and specific knowledge sources, and Fabric IQ provides operational intelligence by defining relationships, rules, and policies within data.

What is the main function of Work IQ?

Work IQ is designed to add memory and personalization to AI agents. It learns from user interactions, such as emails, meetings, and documents, to understand how an employee works, who they collaborate with, their objectives, and the rhythms of company workflows. This helps AI agents provide richer, more context-aware interactions.

How does Foundry IQ enable curated knowledge sources?

Foundry IQ allows organizations to define and curate specific knowledge sources that AI agents can use. This can include documents, SharePoint files, unstructured data, and trusted web sources. The AI uses these curated sources to generate more accurate and relevant responses, ensuring that it interacts with only the most trusted and pertinent information.

What role does Fabric IQ play in operational intelligence?

Fabric IQ defines entities, relationships, and rules within an organization’s data, creating a semantic layer that helps AI agents understand the business context. It ensures that the AI can make decisions based on both analytical and operational data, reflecting real-time business operations and their impact on entities and processes.

Why is it difficult for AI to use enterprise data today?

Currently, enterprise data is spread across multiple systems and formats, making it hard for AI to integrate and understand the full context. There is a lack of consistency between experiences, and AI doesn't always grasp the relationships between different types of data, limiting its ability to apply reasoning and make accurate decisions.

How does Microsoft IQ address the challenge of inconsistent data?

Microsoft IQ addresses the challenge by creating a unified system that integrates data from various sources (e.g., Microsoft 365, Dynamics 365, One Lake) and provides a consistent framework for AI agents. It organizes the data into entities, relationships, and rules, allowing AI to understand and act on it more effectively.

What is the difference between explicit and implicit memory in Work IQ?

Explicit memory refers to information that is directly provided to the AI by the user, such as specific instructions or data. Implicit memory involves data that the AI learns from user interactions, such as the way emails are structured, who the user collaborates with, and their objectives. Both types help enhance AI’s ability to offer personalized and contextually relevant support.

What does the concept of a 'unified data plane' and 'unified control plane' mean in Microsoft IQ?

The 'unified data plane' refers to the seamless integration and accessibility of data across the system, while the 'unified control plane' refers to the ability to manage and control operations, actions, and interactions within the AI agents. This enables more consistent and coordinated use of enterprise knowledge across different platforms and use cases.