Author: Abhishek Kumar
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By Abhishek Kumar — Azure AI Foundry Expert | Technical Architect As enterprises mature in their AI adoption, pre-trained foundation models aren’t always enough. You often need customized models, fine-tuned with proprietary data and tailored to domain-specific tasks. That’s where Azure AI Studio shines — offering a flexible, scalable, and governed environment to train, fine-tune,…
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Agent-based apps are the future of intelligent automation. With Azure AI Studio, Microsoft has created an intuitive yet powerful platform that allows developers and architects to design, test, and deploy AI agents that can reason, plan, and act on your enterprise data. In this blog, I’ll walk you through: What agent-based apps are Why Azure…
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In today’s AI-driven world, enterprises demand more than just models—they demand responsible, secure, scalable, and flexible AI infrastructure. Enter Azure AI Foundry, Microsoft’s new integrated platform designed to empower businesses to build, deploy, and manage custom AI agents and models with confidence. 🔍 What is Azure AI Foundry? Azure AI Foundry is a unified platform…
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MCP (Model Context Protocol) servers are game changers in enabling AI models to interact intelligently with real-world tools and systems. These servers act as the glue between large language models (LLMs) and external applications—offering access, actions, and automation across a variety of services. Here’s a curated list of powerful MCP servers to watch and experiment…
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In the evolving world of APIs, two architectural styles often dominate conversations: REST and GraphQL. If you’re building or scaling modern applications, choosing the right API approach can shape your performance, flexibility, and development speed. In this blog, let’s break down the core differences, pros and cons, and when to choose what — REST or…
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🤖 What Does “Agentic” Really Mean? When people hear “AI agent,” they often think of chatbots with fancy prompts or LLM-powered assistants. But true agentic behavior goes far beyond just generating text. A real AI agent doesn’t just respond — it thinks, plans, retrieves knowledge, and takes action with autonomy. In this post, we explore…
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Now that you understand the why of Azure Stack Hub, it’s time to explore the how. In this blog, we dive into the core building blocks of Azure Stack Hub. Whether you’re an architect or admin, understanding the architecture is essential for deploying and managing hybrid workloads. 🧱 The Layered Architecture of Azure Stack Hub…
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Learn how Azure Stack Hub brings Azure innovation to your datacenter, powering hybrid, edge, and disconnected cloud solutions. 🌍 Introduction: Why Hybrid Cloud Needs a Local Hero In today’s cloud-first world, the need for local control, regulatory compliance, low-latency computing, and disconnected environments has grown tremendously. While public Azure is powerful, enterprises often face constraints…
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In today’s dynamic product landscape, managing consistent, high-quality product information across channels is a challenge. Enter Inriver PIM — a powerful, flexible, and cloud-based Product Information Management solution designed to streamline product data management and speed up time-to-market. But how do you plan an effective Inriver implementation? And how easily can it integrate with your…
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But if you Add Agents… You’ve Got Agentic RAG — A Real Killer! 🚀 Welcome to a deep-dive blog series where we explore Retrieval-Augmented Generation (RAG) and how combining it with Agentic behavior unlocks a new generation of AI solutions — ones that think, plan, and act in the real world. 📌 Why This Series?…
First Crazy Developer 