AI
Gemini/Anti Gravity vs Microsoft
The tech landscape has officially passed the era of “AI as an autocomplete box.” We are no longer just looking for a chatbot to help us write a sin…
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AIThe Fabric Overlay: Why OneLake Above Delta Lake and ADLS is the Ultimate Data Strategy
For years, building an enterprise data lake followed a familiar blueprint: spin up Azure Data Lake Storage (ADLS Gen2), format your data into Delta Lake (or Pa…
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AIScaling and Hosting Intelligent AI Agents in Production
Overview Moving AI agents from a prototype “promise” to a production reality requires a shift in focus from model selection to engineering rigors. …
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AIAzure AI Fabric IQ – Summary (The Semantic Layer)
Bridging the Gap Between Data and Action: Introducing Microsoft Fabric IQ In the world of enterprise data, there has always been a “missing link” b…
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AIAzure 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…
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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…
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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…
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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…
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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…
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