<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Operations on YUNO AI Studio</title><link>https://yuno.to/categories/operations/</link><description>Recent content in Operations on YUNO AI Studio</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 26 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://yuno.to/categories/operations/index.xml" rel="self" type="application/rss+xml"/><item><title>Same AI Tools, Nearly Double the Revenue</title><link>https://yuno.to/blog/same-ai-tools-nearly-double-the-revenue/</link><pubDate>Mon, 26 Oct 2026 00:00:00 +0000</pubDate><guid>https://yuno.to/blog/same-ai-tools-nearly-double-the-revenue/</guid><description>&lt;p&gt;Researchers gave 515 young companies around the world the same package: access to leading AI tools, technical training, mentors and API credits.&lt;/p&gt;
&lt;p&gt;Half of them, picked at random, also got examples of how other organizations had redesigned their workflows and business models around AI. Then every company was asked where AI could help in its own work.&lt;/p&gt;
&lt;p&gt;Compared with the others, the companies that saw the examples:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;identified 44 percent more ways to use AI&lt;/li&gt;
&lt;li&gt;completed 12 percent more tasks&lt;/li&gt;
&lt;li&gt;were 18 percent more likely to land paying customers&lt;/li&gt;
&lt;li&gt;made nearly double the revenue, and needed significantly less outside capital&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The study is by Hyunjin Kim and Dahyeon Kim of INSEAD, and by Rembrand Koning.&lt;sup id="fnref:1"&gt;&lt;a href="#fn:1" class="footnote-ref" role="doc-noteref"&gt;1&lt;/a&gt;&lt;/sup&gt;&lt;/p&gt;</description></item><item><title>How Marketing Reorganizes for the Agentic Age</title><link>https://yuno.to/blog/whose-brand-code-is-it/</link><pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate><guid>https://yuno.to/blog/whose-brand-code-is-it/</guid><description>&lt;p&gt;Marketing has become the bottleneck inside the enterprise. Not because marketers got slower—because everyone else got faster. The operating model marketing inherited from the 2010s was built for a world where production cycles took weeks, channels were countable, and the brief survived contact with execution. None of those conditions hold anymore.&lt;/p&gt;
&lt;p&gt;Michelle Taite &lt;a href="https://hbr.org/2026/05/redesigning-your-marketing-organization-for-the-agentic-age"&gt;&amp;ldquo;proposes a redesign&amp;rdquo;&lt;/a&gt;. The framework names parts of the problem the field has been gesturing at without specifics.&lt;/p&gt;</description></item><item><title>250 Employees, 5 Million Users a Day</title><link>https://yuno.to/blog/250-employees-5-million-users-what-they-did-differently/</link><pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate><guid>https://yuno.to/blog/250-employees-5-million-users-what-they-did-differently/</guid><description>&lt;p&gt;By October 2024, Hugging Face had 250 employees serving over five million daily active users. The company was profitable. It hosted three million models. New models were uploaded every ten seconds. And Clément Delangue, the CEO, kept saying the same thing in interviews: &lt;em&gt;&amp;ldquo;This is the extent that I can see in terms of scale. The way we operate is the same as when we were 40 or 50 people — it might work if we were 250, but not 1,000.&amp;rdquo;&lt;/em&gt;&lt;/p&gt;</description></item></channel></rss>