<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Skills on Marianne Caroline</title><link>https://mariannecaroline.com/tags/skills/</link><description>Recent content in Skills on Marianne Caroline</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 19 Oct 2026 03:13:45 +0000</lastBuildDate><atom:link href="https://mariannecaroline.com/tags/skills/index.xml" rel="self" type="application/rss+xml"/><item><title>AI in Textiles: Why Data Integration Comes First</title><link>https://mariannecaroline.com/articles/ai-in-textiles-why-data-integration-comes-first/</link><pubDate>Mon, 19 Oct 2026 03:13:45 +0000</pubDate><guid>https://mariannecaroline.com/articles/ai-in-textiles-why-data-integration-comes-first/</guid><description>&lt;p&gt;The barrier to artificial intelligence in textiles and clothing is not the technology. It is the groundwork underneath it.&lt;/p&gt;
&lt;p&gt;A white paper produced by the International Textile Manufacturers Federation (ITMF), based in Zurich, together with the Institut für Textiltechnik (ITA) of RWTH Aachen University, identifies poor data integration, skills shortages and governance gaps as the decisive obstacles. The findings were presented on 15 October at a conference in Fortaleza, Brazil, staged by ITMF with the Brazilian textile and apparel association ABIT and the International Apparel Federation. The work draws on ten webinars held between 2024 and 2026, involving more than 20 experts from companies, research institutes and policy bodies.&lt;/p&gt;</description></item></channel></rss>