<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Enterprise AI on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/enterprise-ai/</link><description>Recent content in Enterprise AI on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 20 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/enterprise-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Semantic Kernel: Skills, Planners, and Enterprise AI Integration</title><link>https://ai-blog.noorshomelab.dev/ai-agent-frameworks-2026/semantic-kernel-skills-planners/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-agent-frameworks-2026/semantic-kernel-skills-planners/</guid><description>&lt;h2 id="semantic-kernel-skills-planners-and-enterprise-ai-integration"&gt;Semantic Kernel: Skills, Planners, and Enterprise AI Integration&lt;/h2&gt;
&lt;p&gt;Welcome back, AI explorers! In our journey through modern AI agent frameworks, we&amp;rsquo;ve seen how LangGraph builds state machines, AutoGen fosters conversational agents, and CrewAI empowers role-playing teams. Now, it&amp;rsquo;s time to dive into a framework designed with enterprise integration and modularity at its core: &lt;strong&gt;Semantic Kernel (SK)&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;Semantic Kernel, spearheaded by Microsoft, offers a powerful SDK for integrating Large Language Models (LLMs) with conventional programming languages like Python and C#. It helps you build intelligent applications by weaving together AI capabilities (like natural language understanding and generation) with existing business logic and external services. Think of it as a sophisticated toolkit that allows your code to &lt;em&gt;think&lt;/em&gt; and &lt;em&gt;act&lt;/em&gt; more intelligently by leveraging LLMs, without completely reinventing your application architecture.&lt;/p&gt;</description></item></channel></rss>