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6. Glossary
| Term | Definition | See Section |
|---|---|---|
| AI Champions | Employees who advocate for AI adoption within their teams, demonstrating value and providing peer support | 4.2.1 |
| AI Council | Cross-functional leadership body that sets AI strategy, standards, and governance for an organization | 4.1.2 |
| Analyst Agent | Specialized Copilot agent for advanced data analysis using chain-of-thought reasoning and Python code execution | 3.2.2 |
| Azure AI Document Intelligence | Azure service for extracting structured data from documents such as invoices, forms, and receipts | 3.3.2 |
| Azure AI Search | Intelligent enterprise search service that powers knowledge mining and RAG implementations | 3.3.2 |
| Azure AI Services | Collection of pre-built cognitive AI capabilities (vision, speech, language, decision) for developers | 3.3.2 |
| Bias | Systematic unfairness in AI outputs, often reflecting patterns present in training data | 2.2.1 |
| Build/Buy/Extend | Decision framework for choosing between custom development, existing solutions, or platform customization | 3.2.1 |
| Capability Barrier | Adoption barrier where users lack the skills or knowledge to use AI tools | 4.2.1 |
| Copilot Studio | Microsoft platform for creating custom AI agents with knowledge grounding and system connections | 3.2.1 |
| Fabrication | AI generating plausible but incorrect information, also called hallucination | 2.2.1 |
| Fine-tuned Model | Pretrained model further trained on specific data to develop specialized capabilities | 2.1.2 |
| Foundry | Microsoft's unified platform for building, deploying, and governing custom AI applications | 3.3.1 |
| Generative AI | AI that creates new content (text, images, code) rather than classifying or predicting | 2.1.1 |
| Grounding | Connecting AI to specific data sources to enable relevant, contextual responses | 2.3.2 |
| Microsoft 365 Copilot | AI assistant integrated with Microsoft 365 apps, grounded on organizational data through Microsoft Graph | 3.1 |
| Microsoft Copilot (Free) | Free AI assistant without organizational data access or M365 app integration | 3.1.2 |
| Microsoft Graph | API providing unified access to Microsoft 365 data including emails, calendar, files, and people | 3.1.2 |
| Motivation Barrier | Adoption barrier where users don't see value in using AI tools | 4.2.1 |
| Opportunity Barrier | Adoption barrier where users lack time or chance to engage with AI tools | 4.2.1 |
| Pretrained Model | AI model trained on large general datasets, ready for immediate use without additional training | 2.1.2 |
| Prompt Engineering | Skill of crafting effective prompts to achieve desired AI outputs | 2.3.1 |
| RAG (Retrieval-Augmented Generation) | Technique that retrieves relevant information and includes it in prompts for grounded responses | 2.3.2 |
| Researcher Agent | Specialized Copilot agent for multi-step research that synthesizes information into reports | 3.2.2 |
| Responsible AI | Framework ensuring AI is developed and used ethically, covering Microsoft's six principles | 4.1.1 |
| Token | Unit of text that AI models process; basis for usage-based pricing in some AI services | 2.1.1 |
| Traditional AI | AI that classifies, predicts, or recognizes patterns rather than generating new content | 2.1.1 |
Written byAlvin Varughese
Founder•15 professional certifications