<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data-Quality on Chetan Dalal — Senior Software Engineer</title><link>https://chetandalal.net/tags/data-quality/</link><description>Recent content in Data-Quality on Chetan Dalal — Senior Software Engineer</description><generator>Hugo -- gohugo.io</generator><language>en-US</language><copyright>© 2019–2026 Chetan Dalal</copyright><lastBuildDate>Sat, 01 Aug 2026 00:42:05 -0400</lastBuildDate><atom:link href="https://chetandalal.net/tags/data-quality/index.xml" rel="self" type="application/rss+xml"/><item><title>Evaluating an AI Feature When There's No Ground Truth</title><link>https://chetandalal.net/posts/evaluating-ai-without-ground-truth/</link><pubDate>Sat, 01 Aug 2026 00:00:00 +0000</pubDate><guid>https://chetandalal.net/posts/evaluating-ai-without-ground-truth/</guid><description>Most AI features ship without a defensible way to tell whether a change made them better. Here&amp;rsquo;s how to build an evaluation approach when ground truth doesn&amp;rsquo;t exist, and how to be honest about what it can&amp;rsquo;t tell you.</description></item><item><title>Most Production Incidents Are Data Problems in Disguise</title><link>https://chetandalal.net/posts/data-problems-in-disguise/</link><pubDate>Wed, 13 May 2026 00:00:00 +0000</pubDate><guid>https://chetandalal.net/posts/data-problems-in-disguise/</guid><description>The incident looks like an application bug for the first hour. Why data failures propagate silently, why they cost more than outages, and what treating data quality as an availability concern changes.</description></item></channel></rss>