AI/ML
Azure Brain Lessons for Reliable Enterprise AI Operations
What Azure’s ‘Brain’ Gets Right About AI Operations: Reliability Is the Killer Enterprise Use Case
Cloud Solutions Architect & Data Engineering leader at Microsoft. I build production AI, data, and home-lab systems — Azure, Fabric, Copilot, Proxmox/Ceph — and write about what actually works. New posts weekly.
AI/ML
What Azure’s ‘Brain’ Gets Right About AI Operations: Reliability Is the Killer Enterprise Use Case
AI/ML
If You’re Standardizing on Azure for AI, Trusted Launch by Default Should Change Your Baseline Architecture
Azure
Azure Functions Skills Is More Important Than It Looks: It Turns Serverless Into an Agent Execution Surface
Data Engineering
What Fabric Dataflows Gen2 Means for the Next Phase of Microsoft Analytics Engineering
AI/ML
Burnout, AI, and the Reality Gap: What Enterprise Leaders Need to Hear Before the Next Copilot Rollout
AI/ML
If you want agents that survive the real world, start testing them in hostile environments
AI/ML
Your agents are only as good as their memory: what EvoLib gets right about enterprise learning loops
AI/ML
What OpenAI’s Realtime Voice System Signals for Microsoft Copilot Experiences
AI/ML
There is no enterprise Copilot without change management — and the best proof is coming from the field
AI/ML
Taming GitHub Copilot Spend Without Slowing Developers
AI/ML
Organizational Prompts in Microsoft 365 Copilot: The New Governance Layer for Prompt Reuse
Azure
Azure Resource Manager MCP Server: Why Cost Management and Pricing Toolsets Matter for FinOps