The architectural problem In any non-trivial GenAI platform, you end up managing a fleet of models. Cheap models for classification and light chat. Reasoning models for multi-step tasks. Frontier m...

The problem I wanted to explore Most agentic AI systems today follow a familiar pattern: you design the workflow, you decide which agents exist, you wire the communication between them. That works ...

Enterprise teams building AI agents often need to route model requests through their own infrastructure — whether for compliance, governance, or other controls provided by gateways. Today, we are exc...

You've built an agentic service. It works. It uses the framework you chose — maybe LangChain, maybe Semantic Kernel, maybe the Microsoft Agent Framework, maybe something entirely your own. It talk...

  Why I Ran This Experiment This work started not as a benchmarking exercise, but as a practical problem: I needed to automatically extract panel regions from PDF-format electrical Single...

By Amit Mukherjee · Principal Solutions Engineer, Microsoft Health & Life Sciences Lindsey Craft-Goins · Technology Leader - Cloud & AI Platforms, Health & Life Sciences Joel Borellis · Director ...

Every enterprise has an AI agent. Almost none of them work in production. Walk into any enterprise technology review right now and you will find the same thing. Pilots running. Demos recorded. Stee...

We’re excited to welcome Moonshot AI’s Kimi K2.6 to Microsoft Foundry expanding the platform’s growing catalog of open and frontier models designed for real-world, production-grade AI systems. Kimi...

The Problem Electrical engineering drawings — especially single-line diagrams (SLDs) — are notoriously hard to parse programmatically. They combine dense symbols, small text, and complex geomet...

Take a small design team running a global social campaign. They have the creative vision to produce localized imagery for every market, but not the resources to reshoot, reformat, or outsource that s...