<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data-Governance on Nitin Kumar Singh</title><link>https://nitinksingh.com/tags/data-governance/</link><description>Recent content in Data-Governance on Nitin Kumar Singh</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Nitin Kumar Singh. All rights reserved.</copyright><lastBuildDate>Mon, 13 Jul 2026 11:00:00 +0530</lastBuildDate><atom:link href="https://nitinksingh.com/tags/data-governance/index.xml" rel="self" type="application/rss+xml"/><item><title>The Learning Loop Is the Moat: An Architect's Read on Nadella's Reverse Information Paradox</title><link>https://nitinksingh.com/updates/reverse-information-paradox-learning-loop/</link><pubDate>Mon, 13 Jul 2026 11:00:00 +0530</pubDate><guid>https://nitinksingh.com/updates/reverse-information-paradox-learning-loop/</guid><description>&lt;p&gt;Satya Nadella just &lt;a href="https://x.com/satyanadella/status/2076323181154230284" target="_blank" rel="noreferrer"&gt;named something&lt;/a&gt; every architect should pin to the wall. Kenneth Arrow&amp;rsquo;s old information paradox said a seller can&amp;rsquo;t prove information&amp;rsquo;s worth without revealing it — disclose, and you&amp;rsquo;ve given it away. AI inverts it: now the &lt;em&gt;buyer&lt;/em&gt; leaks. To get real value from a model you feed it your proprietary context, and the vendor learns more about you than you learn from it.&lt;/p&gt;</description></item></channel></rss>