<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai on Anish Bista</title><link>https://anishbista.org/tags/ai/</link><description>Recent content in Ai on Anish Bista</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 26 Sep 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://anishbista.org/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Kagent: Agentic AI for Cloud-Native Operations</title><link>https://anishbista.org/blog/kagent-agentic-ai-for-cloud-native/</link><pubDate>Fri, 26 Sep 2025 00:00:00 +0000</pubDate><guid>https://anishbista.org/blog/kagent-agentic-ai-for-cloud-native/</guid><description>&lt;h2 id="introduction">Introduction&lt;a class="heading-anchor" href="#introduction" aria-label="Link to this section">#&lt;/a>&lt;/h2>
&lt;p>The world of Site Reliability Engineering (SRE) and cloud-native operations is undergoing a fundamental paradigm shift. Traditional manual and static automation methods can no longer keep pace with the accelerating complexity and scale of modern Kubernetes environments. Across the industry, we’re seeing an explosion of new approaches: from AI copilots like ChatGPT MCP, to orchestration frameworks like LangChain, to adaptive observability and remediation platforms. Together, they signal a move toward a more intelligent, autonomous ecosystem.&lt;/p></description></item><item><title>How to Implement Scalable Usage-Based Billing for AI Workloads</title><link>https://anishbista.org/blog/usage-based-billing-for-ai-workloads/</link><pubDate>Fri, 21 Feb 2025 00:00:00 +0000</pubDate><guid>https://anishbista.org/blog/usage-based-billing-for-ai-workloads/</guid><description>&lt;h2 id="introduction">Introduction&lt;a class="heading-anchor" href="#introduction" aria-label="Link to this section">#&lt;/a>&lt;/h2>
&lt;p>Talking about AI – its adoption is increasing multifold and in various forms, we see implementations such as AI Cloud, AI products, AI Agents, Chatbots, and Image and video generation. The global AI market is expected to be valued at approximately $621.19 billion in 2024, with projections indicating it could reach around $1.89 trillion by 2030, reflecting a compound annual growth rate (CAGR) of 20.4% during this period.&lt;/p></description></item></channel></rss>