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.
Author
Eddie Hudson
Director of Emerging Technology at Winmill
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.
Turning Enterprise Data Into Decision-Ready Intelligence on Azure
Data intelligence consulting addresses a problem most enterprises can name precisely: the organization has data, plenty of it, but the...
Building an Enterprise AI Strategy on Azure
AI strategy consulting has become one of the most requested conversations Winmill has with technical leaders.
Designing a Microsoft Fabric Architecture for Enterprise Data
Microsoft Fabric architecture decisions made early in a deployment determine whether the platform scales well or accumulates technical debt.
Serverless Architecture on Azure: The Complete Guide
Serverless on Azure explained in one guide: what each layer of the architecture looks like, what it really costs, and how to decide whether it fits your workload.
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