Every day, your applications process thousands of emails, transcripts, and documents containing sensitive information—names, phone numbers, medical details. Manually identifying and protecting this d...

Are You Running Azure GPT Realtime in Production? The question that started this: Are you running Azure gpt-realtime in production? If so, you've already run into the question I want to talk abou...

By Abhishree Shetty, Alec Berntson, Lihang Li A language analyzer is a specific type of text analyzer that performs lexical analysis using the linguistic rules of the target language. It applies l...

The first request your service sends after swapping gpt-4o for gpt-5.1 in production will return HTTP 400. Not in two weeks. On the first call. And the parameter the error points to isn't one you s...

1. From green dashboards to production-grade AI observability Your AI agent ran in production. The load balancer showed zero errors. Your Application Insights dashboard was green. But multiple thi...

Agent traffic doesn't look like human traffic. It arrives in bursts, sustains long sessions, and hits the same handful of tools at a parallelism a typical API client never produces. Hosted MCP server...

The Vercel AI SDK gives developers one elegant, provider‑agnostic surface (generateText, streamText, tools, structured output) for building agentic apps. The official AI​-sdk/azure provider, however,...

As AI applications become more complex, teams need models that can handle longer-running work, reason more deeply across complex analysis use tools more reliably across multi-step workflows, and supp...

Deploying an Agentic Service to Microsoft 365 Copilot with Delegated OBO Access You've built an agentic service. It works. It uses the framework you chose — maybe LangChain, maybe Semantic Kernel, ...

Introduction In large-scale AI training clusters, congestion control is critical to maintaining high GPU utilization and low job completion times. Two key mechanisms in RoCEv2 (RDMA over Converged ...