<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai Governance on iSquiz.com</title><link>https://www.isquiz.com/tags/ai-governance/</link><description>Recent content in Ai Governance on iSquiz.com</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>iSquiz.com</copyright><lastBuildDate>Sat, 06 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.isquiz.com/tags/ai-governance/index.xml" rel="self" type="application/rss+xml"/><item><title>Five AI Adoption Mistakes Small Businesses Make</title><link>https://www.isquiz.com/post/ai-adoption-mistakes-small-business/</link><pubDate>Sat, 06 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.isquiz.com/post/ai-adoption-mistakes-small-business/</guid><description>
&lt;p&gt;A consistent finding across AI adoption surveys is that the gap between AI experimentation and production deployment is wide — and most of what sits in that gap is not a technology problem. According to O'Reilly's &lt;em&gt;AI Adoption in the Enterprise&lt;/em&gt; research, data quality and use-case identification are each cited as top barriers by roughly one in five respondents, and governance structures are absent in the majority of organizations still in the evaluation phase. For small businesses, those gaps are sharper: smaller teams, tighter budgets, and less institutional knowledge of machine learning mean the same mistakes get made in faster succession, with fewer resources to recover.&lt;/p&gt;</description></item></channel></rss>