<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Product on David Bartolomei-Guzmán</title><link>https://www.davidbartolomei.com/categories/product/</link><description>Recent content in Product on David Bartolomei-Guzmán</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 01 Oct 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://www.davidbartolomei.com/categories/product/feed.xml" rel="self" type="application/rss+xml"/><item><title>Launching Monitorea: AI Agents for Broadcast Media Intelligence</title><link>https://www.davidbartolomei.com/launching-monitorea-ai-agents-for-broadcast-media-intelligence/</link><pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate><guid>https://www.davidbartolomei.com/launching-monitorea-ai-agents-for-broadcast-media-intelligence/</guid><description>&lt;p&gt;A year ago I published a &lt;a href="https://www.davidbartolomei.com/case-study-leveraging-machine-learning-for-spoken-media-analysis-share-of-voice-of-puerto-ricos-political-figures-in-2024/"&gt;case study&lt;/a&gt; analyzing Share of Voice across Puerto Rico&amp;rsquo;s AM radio stations using Whisper transcriptions. The article ended with a long list of &amp;ldquo;future work&amp;rdquo; — fine-tuning, entity recognition, segment classification, summarization. At the time, those were ideas I wanted to explore. As of this month, most of them are running in production.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://monitorea.ai"&gt;Monitorea&lt;/a&gt; is now in private beta. Here&amp;rsquo;s what changed and how we got here.&lt;/p&gt;</description></item></channel></rss>