<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>M&amp;A on Data Informed Narratives</title><link>https://kdboller.github.io/tags/ma/</link><description>Recent content in M&amp;A on Data Informed Narratives</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 19 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://kdboller.github.io/tags/ma/index.xml" rel="self" type="application/rss+xml"/><item><title>AI-Native M&amp;A and FP&amp;A</title><link>https://kdboller.github.io/posts/2026-06-19-ai-native-ma-and-fpa/</link><pubDate>Fri, 19 Jun 2026 00:00:00 +0000</pubDate><guid>https://kdboller.github.io/posts/2026-06-19-ai-native-ma-and-fpa/</guid><description>An examination of AI-native approaches to M&amp;amp;A and FP&amp;amp;A. Spans enterprise AI platforms, compute allocation strategy, and the critical distinction between production-ready harnesses and non-scalable vibe coding.</description></item></channel></rss>