Agentic AI at Scale — Why Data Foundations Are the Real Bottleneck
McKinsey's April 2026 research shows eight in ten companies hit data limitations scaling agentic AI. Here's the four-step fix, with working Azure examples.
McKinsey's April 2026 research shows eight in ten companies hit data limitations scaling agentic AI. Here's the four-step fix, with working Azure examples.
APIM now governs LLM endpoints, MCP servers, and A2A agent traffic from one gateway — with working policy, Bicep, Terraform, and Python examples, plus the pitfalls.
One year after Build 2025: which Microsoft agents are production-ready, how SRE Agent bills in Agent Units, and an adoption roadmap for Malaysian enterprises.
The June 2026 Fabric update moves AI Functions to gpt-5-mini by default, adds GPU-accelerated warehouse capacity, and pushes Data Agents into Microsoft 365 Copilot.
When self-hosted LLM inference beats API pricing in 2026 — with a decision matrix for vLLM, SGLang, and llama.cpp, working Azure deployment patterns, and the real GPU cost math for Malaysian enterprises.
How to use Cosmos DB as the memory and retrieval layer for production AI agents.
Microsoft's public-preview agents runtime turns .agent.md files into event-driven Azure Functions with triggers, 1,400+ connectors, and durable workflows.
Microsoft's Frontier Tuning applies reinforcement learning inside your compliance boundary to teach AI agents how your business actually works. What it is, what the evidence says, and what's real today.
How to run untrusted AI-agent-generated code safely on Azure using Container Apps dynamic sessions — Hyper-V isolated, prewarmed sandboxes with subsecond startup.