La semaine derni\u00e8re, nos apprentis et \u00e9tudiants ont tout explor\u00e9, des concepts de base aux applications du monde r\u00e9el dans l'apprentissage automatique et la science des donn\u00e9es.<\/p>\n\n\n\n
Sandra Romeis a anim\u00e9 un atelier sur les syst\u00e8mes de contr\u00f4le de la production bas\u00e9s sur l'apprentissage automatique, partageant son exp\u00e9rience en mati\u00e8re d'optimisation bas\u00e9e sur les donn\u00e9es et d\u00e9montrant des approches concr\u00e8tes pour am\u00e9liorer la stabilit\u00e9 des processus et l'efficacit\u00e9 des ressources.<\/p>\n\n\n\n
Apr\u00e8s la session, notre \u00e9quipe Jouvoli a montr\u00e9 comment nous appliquons l'IA dans la pratique gr\u00e2ce \u00e0 notre int\u00e9gration des donn\u00e9es m\u00e9t\u00e9orologiques.
Ce projet rassemble des donn\u00e9es m\u00e9t\u00e9orologiques multi-sources avanc\u00e9es, combinant l'imagerie satellitaire, les capteurs terrestres et les mod\u00e8les atmosph\u00e9riques, afin de permettre des pr\u00e9visions pr\u00e9cises en mati\u00e8re d'\u00e9nergies renouvelables et une allocation plus intelligente des ressources.<\/p>\n\n\n\n
Nos Data Scientists ont guid\u00e9 les apprentis et les \u00e9tudiants \u00e9tape par \u00e9tape tout au long de ce processus, offrant un aper\u00e7u concret de la fa\u00e7on dont la science des donn\u00e9es alimente les solutions d'\u00e9nergie durable \u00e0 Jouvoli.<\/p>\n\n\n\n
\ud83d\udca1 Int\u00e9ress\u00e9 par la fa\u00e7on dont l'IA et la science des donn\u00e9es peuvent renforcer votre \u00e9nergie ? D\u00e9couvrez-en plus sur notre travail !<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>","protected":false},"excerpt":{"rendered":"
Last week, our apprentices and students explored everything from core concepts to real-world applications in Machine Learning and Data Science. Dr. Sandra Romeis led a workshop on machine learning-based production control systems, sharing her experience in data-driven optimization and demonstrating concrete approaches for improving process stability and resource efficiency. After the session, our Jouvoli team […]<\/p>\n","protected":false},"author":5,"featured_media":4018,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_angie_page":false,"page_builder":"","footnotes":""},"categories":[32],"tags":[36,197,39,52,102,198],"class_list":["post-4017","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events","tag-ai","tag-datascience","tag-machinelearning","tag-renewableenergy","tag-sustainableenergy","tag-weatherdata"],"_links":{"self":[{"href":"https:\/\/jouvoli.io\/fr\/wp-json\/wp\/v2\/posts\/4017","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jouvoli.io\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jouvoli.io\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jouvoli.io\/fr\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/jouvoli.io\/fr\/wp-json\/wp\/v2\/comments?post=4017"}],"version-history":[{"count":1,"href":"https:\/\/jouvoli.io\/fr\/wp-json\/wp\/v2\/posts\/4017\/revisions"}],"predecessor-version":[{"id":4019,"href":"https:\/\/jouvoli.io\/fr\/wp-json\/wp\/v2\/posts\/4017\/revisions\/4019"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jouvoli.io\/fr\/wp-json\/wp\/v2\/media\/4018"}],"wp:attachment":[{"href":"https:\/\/jouvoli.io\/fr\/wp-json\/wp\/v2\/media?parent=4017"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jouvoli.io\/fr\/wp-json\/wp\/v2\/categories?post=4017"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jouvoli.io\/fr\/wp-json\/wp\/v2\/tags?post=4017"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}