<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>FinOps on Daniel Andrade</title><link>https://danielandrade.info/tags/finops/</link><description>Recent content in FinOps on Daniel Andrade</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 19 Aug 2026 11:00:00 +1000</lastBuildDate><atom:link href="https://danielandrade.info/tags/finops/index.xml" rel="self" type="application/rss+xml"/><item><title>The Minimum Viable Model: Why Enterprise AI Should Stop Chasing the Frontier</title><link>https://danielandrade.info/minimum-viable-model/</link><pubDate>Wed, 19 Aug 2026 11:00:00 +1000</pubDate><guid>https://danielandrade.info/minimum-viable-model/</guid><description>&lt;p&gt;Lately, much of the AI conversation has revolved around one question:&lt;/p&gt;








&lt;blockquote class="blockquote-regular"&gt;
 &lt;p&gt;What is the best model?&lt;/p&gt;

&lt;/blockquote&gt;
&lt;p&gt;GPT, Claude, Gemini, Chinese models&amp;hellip; Every few months there is another release, another benchmark, another leaderboard and another model claiming the frontier.&lt;/p&gt;
&lt;p&gt;Enterprises increasingly need to ask a different question:&lt;/p&gt;








&lt;blockquote class="blockquote-regular"&gt;
 &lt;p&gt;What is the smallest, fastest and most economical model that can reliably solve this particular problem?&lt;/p&gt;

&lt;/blockquote&gt;
&lt;p&gt;The other day I heard the term Minimum Viable Model, or MVM.&lt;/p&gt;</description></item></channel></rss>