A security-first architecture that propagates SharePoint document permissions into downstream AI systems, using Microsoft Entra ID object IDs (GUIDs) for safe, query-time filtering in Azure AI Search, RAG pipelines, and Copilot extensions.
Key insights from the EDA and Ground Truth journey for solving well identity resolution in the Energy industry—challenges that extend to any entity matching problem across distributed systems.
How to build an observable MCP Server with discoverable tools and agents.
A step-by-step guide to enable search in the semantic kernel agents using bing grounding in Azure Foundry AI Agent using A2A.
In this post we explore the evolution from Azure IoT Operations Data Processor Pipelines to Dataflows, why we adopted a hybrid strategy with custom Rust pods, and the architectural lessons we learned building event detection systems at the edge.
Agentic systems have some discretion in the parameters they sent to tooling, but there are cases, such as experimentation, when you need 100% adherence to a set of parameters.
How we built a minimal, scalable GitOps workflow for edge applications using Azure IoT Operations, Azure DevOps, and a multi-repo strategy. Includes pipeline templates and scripts for real-world deployments.
Introduction to a scaleable and secure turnkey architecture for deploying Copilots connected to Azure AI Search.
A robust agent onboarding process is the backbone of scalable, reliable multi-agent AI systems—enforcing uniqueness, rigorous evaluation, and responsible AI practices at every step.
This blog post shares real-world experiences from Microsoft's ISE team using GitHub Copilot to accelerate AI development workflows, demonstrating how AI tools can significantly speed up tasks like creating documentation, class diagrams, data visualizations, and demo scripts when used by experienced developers.
