<?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>Lucas Berger : Dernier contenus</title><link>/account/lucas-berger-29162</link><atom:link href="/account/lucas-berger-29162" rel="self" type="application/rss+xml" /><language>fr</language><pubDate>Thu, 28 May 2026 17:58:49 +0200</pubDate><lastBuildDate>Thu, 28 May 2026 17:58:49 +0200</lastBuildDate><item><title>Big data dans le tourisme : applications et perspectives</title><link>https://www.journaldunet.com/big-data/1424189-big-data-dans-le-tourisme-applications-et-perspectives/</link><description><![CDATA[<a href="https://www.journaldunet.com/big-data/1424189-big-data-dans-le-tourisme-applications-et-perspectives/"><img src="https://img-0.journaldunet.com/cjrI6s-C-kMDi-UE8uCw6z9uVIE=/100x/smart/5ca73be1e2e943b6b9f6e20a7e767914/user-jdn/10029827-anonyme-anonyme.png" align="left" hspace="5" vspace="0"></a>Le tourisme est un secteur pour lequel l'utilisation du big data s'avère particulièrement utile dans l'optique de proposer des offres toujours plus personnalisées aux voyageurs.]]></description><pubDate>Tue, 14 May 2019 17:19:50 +0200</pubDate><guid>https://www.journaldunet.com/big-data/1424189-big-data-dans-le-tourisme-applications-et-perspectives/</guid><dc:creator><![CDATA[Lucas Berger]]></dc:creator><ccmbenchmark:content_author><![CDATA[Lucas Berger]]></ccmbenchmark:content_author><ccmbenchmark:content_author_company><![CDATA[Regiondo]]></ccmbenchmark:content_author_company><ccmbenchmark:content_author_illustration>1</ccmbenchmark:content_author_illustration></item></channel></rss>