Microsoft Fabric
Synthetic Data for AI: Privacy, Utility, and Fabric
Learn where synthetic data helps AI teams, which privacy risks remain, and how Microsoft Fabric can support a governed workflow.
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Microsoft Fabric
AI Data Quality: Build a Reliable Foundation
Assess accuracy, completeness, consistency, timeliness, and fitness for purpose before training or deploying an AI system.
Microsoft Fabric
Frontier Firms: Microsoft's AI Operating Model
A sourced explanation of Microsoft's Frontier Firm concept, the research behind it, and practical questions for enterprise AI operating models.
Microsoft Fabric
Agentic DNA: Data-Driven's Framework for AI Agents
Use Data-Driven's Agentic DNA framework to connect an AI agent's outcome, context, action boundary, and operating controls.
Copilot
Microsoft 365 Copilot Adoption Roadmap
A phased enterprise roadmap for governance, readiness, pilot design, role-based training, support, measurement, and scale.
Copilot
Copilot for SQL vs. Traditional SQL Workflows
Compare query drafting, debugging, access, governance, and review practices across Copilot-assisted and manual SQL workflows, including human review.
AI
Data Modernization for AI Readiness
Assess data quality, ownership, access, and platform constraints before moving an enterprise AI use case into production.
AI
Agentic AI Integration Standards: MCP and A2A
Understand how MCP and A2A support agent integration, where governance belongs, and which claims require proof before production use.
AI
Agentic AI: From Prototype to Production
Plan the move from an agent demo to production with testing, monitoring, integration, governance, training, and measurable outcomes.
AI
Agent Observability: Five Enterprise Practices
Learn how action monitoring, decision traces, evaluation loops, governance controls, and CI/CD checks support reliable AI agents.
AI
Agentic AI Adoption: Governance from the Start
See how enterprise teams can connect agent design, human escalation, observability, policy controls, and outcome measurement.
AI
Generative AI on Azure: A Practical eBook
Review a 2024 guide to Azure generative AI use cases, deployment choices, data safeguards, and operational readiness.
Copilot
Microsoft Copilot Studio Updates: What Changed
Review the dated Copilot Studio changes to knowledge sources, Azure AI integration, and maker controls before using them in a rollout.
AI
Build and Modernize AI Apps on Microsoft Azure
Review Azure services for machine learning, data storage, analytics, automation, and customer-facing AI application patterns.
Microsoft Fabric
Microsoft Fabric: Platform Overview for Data Teams
A sourced guide to OneLake, engineering, warehousing, real-time analytics, Power BI, governance, and Copilot in Microsoft Fabric.
AI
Azure OpenAI Service: Capabilities and Boundaries
A current overview of Azure OpenAI deployment choices, data controls, content filtering, evaluation, and responsible-use boundaries.
AI
Developer's Guide to Building an AI Application
Explore a developer-focused introduction to Microsoft AI tools, infrastructure, services, and the ONNX ecosystem for intelligent applications.
AI
Azure Synapse Analytics: Series Overview
Follow a planned Azure Synapse series covering architecture, data engineering, machine learning, business intelligence, cost, and platform fit.
AI
Teachable Machine: A Small Image-Classification Lesson
A 2019 experiment with Teachable Machine shows how sample size, bias, consent, and testing shape a simple image classifier.
AI
Titanic Survival Prediction with Azure Machine Learning
An archived beginner Tech Talk using the Titanic dataset, Kaggle, and Azure Machine Learning Studio to introduce classification.
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