MAI-Image-2.5 Rankings Distract From Azure AI Reality
MAI-Image-2.5 Ranking Is a Signal, Not Microsoft's Multimodal Checkmate
Microsoft Azure cloud platform
MAI-Image-2.5 Ranking Is a Signal, Not Microsoft's Multimodal Checkmate
ai-assisted
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.
ai-assisted
Azure PostgreSQL from commit to cloud: what platform teams should standardize now
ai-assisted
Azure SQL as an AI-ready data platform: embeddings and external models in production
ai-assisted
Cosmos DB Shell and the future of AI-assisted database operations
ai-assisted
Three full-stack data platforms in a weekend: what Fabric and Azure AI Foundry enable for rapid delivery
ai-assisted
How to expose governed data to copilots with REST, GraphQL, and MCP from one Azure service
ai-assisted
Build an Enterprise ready 2nd Brain on Azure Foundry + Cosmos DB
Azure
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
Azure
Legacy document management systems like Oracle UCM are expensive, inflexible, and painful to maintain. I built AssuranceNet — an Azure-native replacement that demonstrates how to modernize document management with cloud-native services and modern development practices. The Legacy Problem Oracle UCM (now WebCenter Content) was built for a different era. Organizations running
Azure
What if you could expose your database as a REST and GraphQL API — with authentication, role-based access control, and auto-scaling — without writing a single line of backend code? That's Azure Data API Builder (DAB), and I built a comprehensive demo showing how to use it in a production-grade