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.
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Articles connected to AI / AI in Business
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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.
AI
Data Modernization for AI Readiness
Assess data quality, ownership, access, and platform constraints before moving an enterprise AI use case into production.
Microsoft Fabric
Enterprise Data and AI Trends for 2026
Review the year's expectations for Microsoft Fabric, Copilot, real-time analytics, governance, and human oversight against current product evidence.
Microsoft Fabric
Autonomous Finance with Agentic AI and Fabric
Explore a governed architecture for finance agents, Microsoft Fabric data workflows, human escalation, and measurable operational use cases.
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.
Azure
How AI Changes Business Operations and Decisions
See five common AI use cases across decisions, automation, customer service, operations, and products, with questions to test value.
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