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		<title>neurons &#038; peppers</title>
		<link>https://datacraft.paris/neuronsandpeppers/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=neuronsandpeppers</link>
		
		<dc:creator><![CDATA[datacraft]]></dc:creator>
		<pubDate>Mon, 20 Jan 2025 10:10:48 +0000</pubDate>
				<category><![CDATA[Meetup]]></category>
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				<span class="et_pb_image_wrap "><img fetchpriority="high" decoding="async" width="2207" height="788" src="https://datacraft.paris/wp-content/uploads/2025/01/neuronspeppers700ppi.png" alt="" title="neurons&amp;peppers700ppi" srcset="https://datacraft.paris/wp-content/uploads/2025/01/neuronspeppers700ppi.png 2207w, https://datacraft.paris/wp-content/uploads/2025/01/neuronspeppers700ppi-1280x457.png 1280w, https://datacraft.paris/wp-content/uploads/2025/01/neuronspeppers700ppi-980x350.png 980w, https://datacraft.paris/wp-content/uploads/2025/01/neuronspeppers700ppi-480x171.png 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 2207px, 100vw" class="wp-image-14647" /></span>
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				<div class="et_pb_text_inner"><p>One of the distinguishing factors making France a great AI country is its abundance of extraordinary talent in ML Research. Some of the greatest minds in AI studied in France and benefited from its unique academic ecosystem.<br />
But technical talent is not everything: if you want to inspire others and accelerate the french ecosystem, you need to be understood by the people you wish to galvanize.</p>
<p>We&#8217;re introducing neurons &amp; peppers, a research-oriented SOTA AI meetup, where technical expertise does not come without the ability to popularize it.<br />
Our goal with n&amp;p is to bring technical ML experts together to foster collaboration and exchange of ideas within the Paris AI ecosystem.</p>
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<a href="https://luma.com/neurons-and-peppers?k=c" target=_blank><strong>Programmation Neurons &#038; Peppers</strong></a>
</p>
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		<title>Etat de l&#8217;art &#8211; data as an asset : Comment calculer la valeur financière des données d&#8217;une entreprise?</title>
		<link>https://datacraft.paris/etat-de-lart-data-as-an-asset-comment-calculer-la-valeur-financiere-des-donnees-dune-entreprise/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=etat-de-lart-data-as-an-asset-comment-calculer-la-valeur-financiere-des-donnees-dune-entreprise</link>
		
		<dc:creator><![CDATA[datacraft]]></dc:creator>
		<pubDate>Thu, 16 May 2024 08:24:57 +0000</pubDate>
				<category><![CDATA[Atelier]]></category>
		<guid isPermaLink="false">https://datacraft.paris/?p=11180</guid>

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				<span class="et_pb_image_wrap "><img decoding="async" width="2000" height="304" src="https://datacraft.paris/wp-content/uploads/2024/05/Format-banniere-site-4.png" alt="Formations" title="Format bannière site (4)" srcset="https://datacraft.paris/wp-content/uploads/2024/05/Format-banniere-site-4.png 2000w, https://datacraft.paris/wp-content/uploads/2024/05/Format-banniere-site-4-1280x195.png 1280w, https://datacraft.paris/wp-content/uploads/2024/05/Format-banniere-site-4-980x149.png 980w, https://datacraft.paris/wp-content/uploads/2024/05/Format-banniere-site-4-480x73.png 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 2000px, 100vw" class="wp-image-11181" /></span>
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				<div class="et_pb_text_inner"><p>Si vous souhaitez connaitre la valeur financière des données de votre entreprise et si vous avez manqué l&#8217;atelier du 15 mai :</p>
<ul>
<li><a href="https://drive.google.com/file/d/1CDJ-rytHiMagGYr4LBiVAwtlWMZBwm4K/view?usp=sharing"><strong>Un résumé </strong></a>de la présentation de <a href="https://www.linkedin.com/in/jean-barrere-08013b1/">Jean Barrere</a>, partner chez Accuracy et <a href="https://www.linkedin.com/in/franck-bancel-31a903262/">Franck Bancel,</a> professeur à l’ESCP</li>
<li>Un <a style="font-weight: bold;" href="https://drive.google.com/file/d/1ekKzpCaqw_v_012urzN95WYhXwnyUb-8/view?usp=sharing">article sur le sujet</a> </li>
</ul>
<p>Si la thématique vous intéresse, n&#8217;hésitez pas à nous contacter sur<strong> contact@datacraft.paris</strong> car nous allons organiser une deuxième partie qui portera sur un cas concret.</p></div>
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		<title>Intégrer les données du GIEC dans ses modèles de prédiction</title>
		<link>https://datacraft.paris/integrer-les-donnees-du-giec-dans-ses-modeles-de-prediction/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=integrer-les-donnees-du-giec-dans-ses-modeles-de-prediction</link>
		
		<dc:creator><![CDATA[datacraft]]></dc:creator>
		<pubDate>Fri, 31 Mar 2023 13:49:54 +0000</pubDate>
				<category><![CDATA[Atelier]]></category>
		<guid isPermaLink="false">https://datacraft.paris/?p=8417</guid>

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				<span class="et_pb_image_wrap "><img decoding="async" width="2000" height="304" src="https://datacraft.paris/wp-content/uploads/2023/03/Atelier-climat.png" alt="plateforme de recrutement" title="Atelier climat" srcset="https://datacraft.paris/wp-content/uploads/2023/03/Atelier-climat.png 2000w, https://datacraft.paris/wp-content/uploads/2023/03/Atelier-climat-1280x195.png 1280w, https://datacraft.paris/wp-content/uploads/2023/03/Atelier-climat-980x149.png 980w, https://datacraft.paris/wp-content/uploads/2023/03/Atelier-climat-480x73.png 480w" sizes="(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 2000px, 100vw" class="wp-image-8422" /></span>
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				<div class="et_pb_text_inner"><p>Lundi 27 mars avait lieu une keynote et un atelier &#8220;Intégrer les données du GIEC dans ses modèles de prédiction&#8221; animé par Sophie Szopa, Paul Laville, Céline Alby, Xiao Wei, Ismail Erradi et Martin Dizier. L&#8217;objectif était de sensibiliser les entreprises au changement climatique et les impacts potentiels sur leur business, et de comprendre comment intégrer les prévisions climatiques au sein de leurs outils de prises de décisions (modèles d’IA).</p>
<p>&nbsp;</p>
<h3><strong>Des ressources utiles </strong></h3>
<ul>
<li>Lien vers le <a href="https://www.youtube.com/watch?v=ETz3UVIBqtw">replay</a></li>
<li>Lien vers le <a href="https://datacraft.paris/workshops/atelier-intefrer-les-donnees-du-giec-dans-ses-modeles-de-prediction/">compte rendu</a> de cette journée</li>
</ul></div>
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