<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Technology, Explained on Bao Nguyen</title><link>https://baolannguyen.com/technology-explained/</link><description>Recent content in Technology, Explained on Bao Nguyen</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 10 Sep 2026 00:00:00 +0700</lastBuildDate><atom:link href="https://baolannguyen.com/technology-explained/index.xml" rel="self" type="application/rss+xml"/><item><title>Field Guide to AI for Non-Tech CEOs</title><link>https://baolannguyen.com/technology-explained/field-guide-to-ai-for-non-tech-ceos/</link><pubDate>Thu, 10 Sep 2026 00:00:00 +0700</pubDate><guid>https://baolannguyen.com/technology-explained/field-guide-to-ai-for-non-tech-ceos/</guid><description>&lt;p&gt;&lt;strong&gt;The Field Guide to AI for Non-Tech CEOs&lt;/strong&gt; explains the concepts that actually matter to understand what&amp;rsquo;s going on in an AI meeting, evaluating vendors, allocating capital towards AI and asking better questions.&lt;/p&gt;</description></item><item><title>Part 1: Demystifying AI and busting AI hype</title><link>https://baolannguyen.com/technology-explained/field-guide-to-ai-for-non-tech-ceos-part-1/</link><pubDate>Thu, 10 Sep 2026 00:00:00 +0700</pubDate><guid>https://baolannguyen.com/technology-explained/field-guide-to-ai-for-non-tech-ceos-part-1/</guid><description>&lt;p&gt;&lt;strong&gt;Part 1 starts with the basics:&lt;/strong&gt; what AI actually is, where it differs from normal automation, what tokens, model weights and context really mean, and whether you actually need to “train AI on your data.”&lt;/p&gt;</description></item></channel></rss>