<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data on Ben Petito</title><link>http://peti.to/tags/data/</link><description>Recent content in Data on Ben Petito</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Tue, 13 May 2025 09:00:00 +0930</lastBuildDate><atom:link href="http://peti.to/tags/data/index.xml" rel="self" type="application/rss+xml"/><item><title>Using AI to Surface Insights From Two Decades of Audit History</title><link>http://peti.to/posts/ai-audit-summaries/</link><pubDate>Tue, 13 May 2025 09:00:00 +0930</pubDate><guid>http://peti.to/posts/ai-audit-summaries/</guid><description>&lt;p&gt;A couple of months ago, I met with a client to explore how AI might help streamline some of their internal processes. Their application contains nearly two decades of audit history, yet despite the volume of data, it wasn&amp;rsquo;t being actively used.&lt;/p&gt;
&lt;p&gt;Last week, they reached out with a specific request: could we generate a summary of the past three years of audits so that auditors could quickly understand recurring issues and common themes when preparing for an upcoming audit?&lt;/p&gt;</description></item></channel></rss>