AI
Azure Agent 365 AI Framework Overview
Agent 365 is highly suitable for firms deploying AI, because it provides a unified, enterprise‑grade control plane for AI agents with strong governance, observ…
Read More »
AIClaude AI, acting on your machine
You might read or hear, “Claude Code is an AI tool that runs in the terminal.” For a lot of people, that sentence is an immediate deal-breaker. Don…
Read More »
AICopilot Studio SaaS integrated with a Fabric Data Agent
The Request Lifecycle: A 3-Stage Handshake Stage 1: Copilot Studio -> AI Foundry (The Intent) The Action: The user asks: “What is the total AUM for Cl…
Read More »
AI5 core pillars of Large Language Model (LLM) operations
The below outlines the 5 main pillars of using an AI LLM. The terminology is the basis of discussing ‘AI’ within an enterprise. 1. Tokenization: Un…
Read More »
AIAzure Agentic AI and Foundry
Based on the journey from initial Power BI insights to enterprise-grade automation in Azure AI Foundry. From Insights to Autopilot: Building Enterprise AI Agen…
Read More »
AzureAzure, Data and the Semantic Layer
Definition: What is a Semantic Layer? A Semantic Layer is a business representation of corporate data that helps end users and AI agents access data autonomous…
Read More »
AIEnterprise AI Agents in Azure
Overview of Microsoft Foundry as a unified platform for building, optimizing, and governing enterprise AI agents. Microsoft Foundry: The Enterprise AI Agent Fa…
Read More »
AIAzure & AI: Unifying the Enterprise Agent Stack
In the rush to adopt AI, many organizations have accidentally created a fragmented agentic stack. Every department from HR to Finance is building its own agent…
Read More »
AICopilot Agent Management
Copilot Studio The lifecycle of a copilot agent begins in the agent workshop where a producer uses the copilot studio portal to develop the core logic. This in…
Read More »