Category: AI

Demystifying Azure AI – Article 6 of 6

By now, you’ve seen how Azure helps you plug into prebuilt models (AI Services), harness the power of GPTs (OpenAI), build your own (AI Foundry), and train predictive models (Azure ML). But real-world apps are often more than just a single model.

You need to combine services.
You need to ground GPT with trusted knowledge.
You need to moderate, monitor, and improve — continuously.

That’s where Azure AI Studio and Azure AI Search step in — letting you orchestrate, evaluate, and ground intelligent applications with confidence.

Continue reading “Azure AI Studio + Azure AI Search — Orchestrating Intelligence with Your Data”

Demystifying Azure AI – Article 5 of 6

While the AI spotlight today is firmly on GPTs and image generators, most real-world AI applications still rely on traditional machine learning.

Whether it’s predicting customer churn, classifying support tickets, or detecting anomalies in time-series data, these are problems solved not by massive language models — but by tabular data, structured features, and well-tested algorithms.

That’s exactly where Azure Machine Learning shines.

Continue reading “Azure Machine Learning — The Classical Workhorse”

Demystifying Azure AI – Article 4 of 6

While Azure OpenAI gives you easy access to powerful models like GPT-4 and Codex, many enterprises are asking deeper questions:

What if we want to build models that speak our language?
What if our data is too sensitive to share outside?
What if GPT is too big, expensive, or overkill for our tasks?

That’s where Azure AI Foundry steps in — giving you the tools to create your own GenAI models, evaluate their performance, add safety controls, and deploy them on your terms.

This is your AI factory — fully managed, but fully yours.

Continue reading “Azure AI Foundry — Build and Own Your GenAI Stack”