AI
Machine Learning APIs with the Model Context Protocol (MCP)
In enterprise AI, a major engineering challenge is bridging the gap between existing backend systems and the fast-growing ecosystem of autonomous AI agents. A …
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AIMastering Enterprise Agent Success with Microsoft IQ
A striking prediction by industry analysts at Gartner reveals that more than 40 percent of agentic AI projects will be canceled by the end of 2027. When these …
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AIAzure AI Foundry / Anthropic Claude Multi-Agent Pattern
Bringing Anthropic’s Claude into Azure AI Foundry is a massive shift for enterprise AI. Previously, if a bank wanted to use OpenAI’s GPT models, they used Azur…
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AIFrom Retrieval to Reasoning: Demystifying Microsoft Foundry IQ
Building production-grade Generative AI for the enterprise requires moving far beyond simple vector search or basic RAG pipelines. When launching true enterpri…
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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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