What CDOs should require before deploying autonomous AI agents in Microsoft environments
What CDOs should require before deploying autonomous AI agents in Microsoft environments
Frank Garofalo
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.
How to govern autonomous Copilot-style agents with Microsoft Agent Framework and enterprise policy controls
How to govern autonomous Copilot-style agents with Microsoft Agent Framework and enterprise policy controls
From model training to inference: what the latest Microsoft and NVIDIA guidance means for production AI
From model training to inference: what the latest Microsoft and NVIDIA guidance means for production AI
Foundry Local 1.1 and the rise of private, on-device enterprise AI
Foundry Local 1.1 and the rise of private, on-device enterprise AI
How Foundry Local GA changes the Copilot development model for regulated enterprises
How Foundry Local GA changes the Copilot development model for regulated enterprises
Designing a governance playbook for local and hosted AI agents in Microsoft Foundry
Designing a governance playbook for local and hosted AI agents in Microsoft Foundry
How AI agent observability should influence Fabric data product design
How AI agent observability should influence Fabric data product design
AI-assisted attacks are here: what the first known zero-day 2FA bypass means for defenders
AI-assisted attacks are here: what the first known zero-day 2FA bypass means for defenders
From model quality to business value: the analytics gap in enterprise AI adoption
From model quality to business value: the analytics gap in enterprise AI adoption
The next wave of AI productization: from search augmentation to domain-specific copilots
The next wave of AI productization: from search augmentation to domain-specific copilots
The next phase of AI is not bigger demos, but better fit-for-purpose systems
The next phase of AI is not bigger demos, but better fit-for-purpose systems
Azure SQL as an AI-ready data platform: embeddings and external models in production
Azure SQL as an AI-ready data platform: embeddings and external models in production