Azure - Build Without Bounds (Page 4)

Azure SQL Just Redefined What Agents Can Touch

Why Azure SQL as a knowledge source could reshape the way enterprises expose operational data to agents

Azure Cosmos DB Agent Kit Just Became Platform Material

How to Build an AI-Ready Data Platform with Azure Cosmos DB Agent Kit

Azure HorizonDB Rewrites Microsoft's Postgres Endgame

What Azure HorizonDB Signals About Microsoft’s Postgres Strategy

MAI-Image-2.5 Rankings Distract From Azure AI Reality

MAI-Image-2.5 Ranking Is a Signal, Not Microsoft's Multimodal Checkmate

Practical architecture pattern for reducing model load latency in Azure-hosted GenAI apps, including when to use Blob Storage, streaming, and caching to improve responsiveness.

Show a practical architecture pattern for reducing model load latency in Azure-hosted GenAI apps, including when to use Blob Storage, streaming, and caching to improve responsiveness.

Azure PostgreSQL from commit to cloud: what platform teams should standardize now

Azure SQL as an AI-ready data platform: embeddings and external models in production

Cosmos DB Shell and the future of AI-assisted database operations

Three full-stack data platforms in a weekend: what Fabric and Azure AI Foundry enable for rapid delivery

How to expose governed data to copilots with REST, GraphQL, and MCP from one Azure service

Build an Enterprise ready 2nd Brain on Azure Foundry + Cosmos DB

Azure

Automating Document Processing with Azure Document Intelligence

Processing hundreds of multi-page PDF forms manually is exactly the kind of repetitive work that AI should handle. I built an automated document processing pipeline on Azure that splits PDFs, extracts structured data using AI, and stores results — all triggered by a simple file upload. The Problem Imagine receiving a