<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Insurance on Rafael Zago</title><link>https://www.rafaelvzago.com/en/tags/insurance/</link><description>Recent content in Insurance on Rafael Zago</description><generator>Hugo</generator><language>en-US</language><copyright>© Rafael Zago</copyright><lastBuildDate>Fri, 24 Jul 2026 16:16:10 -0300</lastBuildDate><atom:link href="https://www.rafaelvzago.com/en/tags/insurance/index.xml" rel="self" type="application/rss+xml"/><item><title>OpenShift AI and Skupper: insurance fraud prevention</title><link>https://www.rafaelvzago.com/en/posts/ai-com-skupper-para-previnir-fraudes/</link><pubDate>Mon, 17 Jun 2024 00:00:00 -0300</pubDate><guid>https://www.rafaelvzago.com/en/posts/ai-com-skupper-para-previnir-fraudes/</guid><description>&lt;p>&lt;a href="https://www.rafaelvzago.com/assets/img/headers/AI-com-skupper-para-previnir-fraudes.webp" class="img-lightbox" data-lightbox>
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&lt;h2 id="description">Description&lt;/h2>
&lt;p>This workshop demonstrates how to use Skupper to connect local data services to cloud-based AI/ML environments. The workshop includes a Go application in a podman container that exposes internal data for Skupper connection. The AI/ML model training is performed in an OpenShift AI cluster on AWS using Openshift AI/ML services.&lt;/p>
&lt;h2 id="disclaimer">Disclaimer&lt;/h2>
&lt;p>This lab uses the example from the &lt;a href="https://github.com/rh-aiservices-bu/insurance-claim-processing">AI/ML Workshop&lt;/a> created by the Red Hat AI Services team. The original workshop is available on GitHub and includes all the necessary information to run the lab. The lab was adapted to use Skupper to connect the local data services to the cloud-based AI/ML environment.&lt;/p></description></item></channel></rss>