Model Context Protocol Explained for Enterprise Teams
If you've been evaluating AI agents for enterprise use, you've likely started hearing about Model Context Protocol, usually shortened to MCP.
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The Winmill blog
Our team shares practical guidance on AI, Azure, cybersecurity, and enterprise IT.
Emerging Tech
AI Agent Security: Identity, Permissions, and Blast Radius
When an AI agent runs in a production environment, it doesn't just answer questions.
Emerging Tech
Enterprise AI Agents on Azure: Where to Start
The term "AI agent" has moved from research papers to enterprise roadmaps faster than most technology concepts do.
Emerging Tech
What It Costs to Run AI on Azure
When organizations start evaluating enterprise AI on Azure, one of the first questions IT finance and technology leaders ask is...
Emerging Tech
How to Choose an AI Use Case by the Decision It Changes
Most enterprise AI pilots fail the same way.
Emerging Tech
Shadow AI: What It Is and How to Give Employees a Safe Alternative
Employees aren't waiting for IT to approve an AI tool.
Emerging Tech
Deploying AI Agents With Microsoft Foundry Agent Service
Most enterprise teams building AI agents on Azure start by asking the wrong question.
Emerging Tech
FinOps for Azure AI: Controlling Token and Compute Costs
Azure AI spending doesn't behave like other cloud costs. You're not just paying for compute and storage. You're paying per token, per API call, per model.
Emerging Tech
Detecting Data Drift and Model Drift in Production ML Models
A model that performed well at deployment can quietly degrade for months before anyone notices. The inputs change. The real-world patterns your model learned shift.
Emerging Tech
Automating Azure ML Pipelines With MLOps
Automating Azure ML pipelines with MLOps is the difference between a model that runs once and a model that stays reliable in production. Most teams can train a model.
Emerging Tech
Moving Legacy Applications to the Cloud on Azure
Moving legacy applications to the cloud on Azure is one of the most consequential decisions an engineering organization makes.
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