<?xml version='1.0' encoding='UTF-8'?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:ccmbenchmark="https://www.ccmbenchmark.com/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>David Sweenor : Dernier contenus</title><link>/account/david-sweenor-132283</link><atom:link href="/account/david-sweenor-132283" rel="self" type="application/rss+xml" /><language>fr</language><pubDate>Sun, 07 Jun 2026 20:03:03 +0200</pubDate><lastBuildDate>Sun, 07 Jun 2026 20:03:03 +0200</lastBuildDate><item><title>Comment les PME peuvent adopter la data science</title><link>https://www.journaldunet.com/intelligence-artificielle/1511007-comment-les-pme-peuvent-adopter-la-data-science/</link><description><![CDATA[<a href="https://www.journaldunet.com/intelligence-artificielle/1511007-comment-les-pme-peuvent-adopter-la-data-science/"><img src="https://img-0.journaldunet.com/T_qmpiEaklKikNqIwElxTEmKpE8=/100x/smart/ed4fe645e0524e298cba6ecfd859b749/user-jdn/10038400-david-sweenor.jpg" align="left" hspace="5" vspace="0"></a>Les données se trouvent partout au sein de l'entreprise, et les PME ne font pas exception. Cependant, encore faut-il qu'elles soient efficacement équipées pour utiliser pleinement la data science.]]></description><pubDate>Wed, 27 Apr 2022 11:15:16 +0200</pubDate><guid>https://www.journaldunet.com/intelligence-artificielle/1511007-comment-les-pme-peuvent-adopter-la-data-science/</guid><dc:creator><![CDATA[David Sweenor]]></dc:creator><ccmbenchmark:content_author><![CDATA[David Sweenor]]></ccmbenchmark:content_author><ccmbenchmark:content_author_company><![CDATA[Alteryx]]></ccmbenchmark:content_author_company><ccmbenchmark:content_author_illustration>1</ccmbenchmark:content_author_illustration></item></channel></rss>