{"id":16606,"date":"2026-03-30T12:16:14","date_gmt":"2026-03-30T10:16:14","guid":{"rendered":"https:\/\/swissdigitalcenter.ch\/?p=16606"},"modified":"2026-03-30T12:29:36","modified_gmt":"2026-03-30T10:29:36","slug":"lia-dans-votre-pme-la-culture-de-la-donnee-avant-la-technologie","status":"publish","type":"post","link":"https:\/\/swissdigitalcenter.ch\/fr\/news\/lia-dans-votre-pme-la-culture-de-la-donnee-avant-la-technologie\/","title":{"rendered":"L’IA dans\u00a0votre\u00a0PME\u2009:\u00a0la culture de la donn\u00e9e avant la technologie\u2009!\u00a0\u00a0"},"content":{"rendered":"\n

L’intelligence artificielle\u00a0(IA)\u00a0ne se d\u00e9ploie pas efficacement dans une entreprise sans une transformation culturelle profonde. C’est le message central de Silvia\u00a0Quarteroni<\/a>, responsable innovation au\u00a0Swiss\u00a0Data Science Center (SDSC), lors de la 20e\u00a0Swiss\u00a0Digital Conf\u00e9rence \u00e0 Sierre. \u00ab\u2009Les sujets doivent venir du m\u00e9tier. C’est le m\u00e9tier qui va finalement amener l’impact. Ce\u00a0n’est\u00a0pas les personnes en charge de l\u2019informatique\u00a0ni des\u00a0finances\u2009\u00bb, affirme-t-elle.\u00a0Trop d’entreprises adoptent\u00a0encore\u00a0une approche \u00ab\u2009technology\u00a0first\u2009\u00bb en d\u00e9ployant des solutions IA sans avoir au pr\u00e9alable identifi\u00e9 les vraies questions m\u00e9tiers \u00e0 r\u00e9soudre.<\/strong>\u00a0<\/p>\n\n\n\n

Malgr\u00e9 l’engouement pour l’IA g\u00e9n\u00e9rative, les r\u00e9sultats ne sont pas toujours \u00e0 la hauteur des esp\u00e9rances. Un rapport publi\u00e9 par Swissmem et Swissmechanic en 2024, portant sur 144 PME industrielles suisses, r\u00e9v\u00e8le un nombre surprenant de cas qui n’ont pas livr\u00e9 de r\u00e9sultats probants.   <\/p>\n\n\n\n

\u00ab\u2009Si un utilisateur priv\u00e9 peut obtenir un certain nombre de bons r\u00e9sultats avec l\u2019IA, alors en tant qu’utilisateur professionnel, je m’attends \u00e0 avoir des performances pour tous mes besoins\u2009\u00bb, explique Silvia Quarteroni. Mais la r\u00e9alit\u00e9 des applications professionnelles est plus complexe que l’utilisation grand public. <\/p>\n\n\n\n

Des obstacles tr\u00e8s\u2026humains<\/strong>\u00a0<\/h3>\n\n\n\n

Les obstacles rencontr\u00e9s par les PME sont rarement d’ordre technique. \u00ab\u2009Souvent, on se rend compte que le\u00a0management a des visions tr\u00e8s ambitieuses\u00a0et souhaite\u00a0faire de l’IA \u00e0 tout prix. Mais\u00a0ces visions se confrontent aux\u00a0soucis de mise en production\u00a0des solutions\u00a0IA,\u00a0avec un passage difficile du\u00a0proof of concept\u00a0\u00e0 la r\u00e9alit\u00e9\u00a0industrielle\u2009\u00bb.\u00a0<\/p>\n\n\n\n

De mani\u00e8re g\u00e9n\u00e9rale, il y a souvent un probl\u00e8me de gouvernance de la donn\u00e9e et de compr\u00e9hension desdites donn\u00e9es. Sans cette compr\u00e9hension pr\u00e9alable, impossible de tirer vraiment parti de l’IA. \u00ab\u2009Je n’aurais jamais un outil IA performant si d’abord je ne sais pas quelles sont les questions m\u00e9tiers que je veux soumettre \u00e0 ces donn\u00e9es\u2009\u00bb. <\/p>\n\n\n\n

Ces difficult\u00e9s sont ainsi plut\u00f4t des probl\u00e8mes humains que technologiques. L’enjeu principal r\u00e9side dans l’instauration d’une v\u00e9ritable culture de la donn\u00e9e \u00e0 tous les niveaux hi\u00e9rarchiques. <\/p>\n\n\n\n

Trois concepts cl\u00e9s pour r\u00e9ussir<\/strong>\u00a0<\/h3>\n\n\n\n

Silvia\u00a0Quarteroni\u00a0r\u00e9sume sa vision en trois concepts cl\u00e9s.\u00a0Le premier est de se rendre compte qu\u2019il\u00a0n’y a pas que l’IA g\u00e9n\u00e9rative\u00a0au service des PME. L\u2019intelligence artificielle est plus large.\u00a0Beaucoup d’entreprises ont lanc\u00e9 des initiatives dans la pr\u00e9cipitation. \u00ab\u2009Elles\u00a0ont\u00a0ainsi\u00a0perdu confiance en l’IA,\u00a0essentiellement parce qu’elles avaient choisi de mauvaises batailles\u2009\u00bb.\u00a0<\/p>\n\n\n\n

Le deuxi\u00e8me principe est de travailler sur son c\u0153ur de m\u00e9tier. L’exemple de Firmenich, fabricant de parfums et d’ar\u00f4mes synth\u00e9tiques, est parlant. \u00ab\u2009Pour eux, la cl\u00e9 est de repr\u00e9senter leurs ingr\u00e9dients, d’une mani\u00e8re efficace et de pouvoir r\u00e9pondre \u00e0 des questions comme\u2009: est-ce que le march\u00e9 fran\u00e7ais appr\u00e9ciera le persil pour le parfum que je fabrique\u2009?\u2009\u00bb. <\/p>\n\n\n\n

Le troisi\u00e8me principe est la contextualisation. \u00ab\u2009La performance n’est possible que si l’IA a acc\u00e8s aux bonnes donn\u00e9es, au bon format, avec le bon contexte m\u00e9tier\u2009\u00bb. Le message final de Silvia Quarteroni est clair\u2009: avant de courir apr\u00e8s les derni\u00e8res innovations en intelligence artificielle, les PME doivent d’abord cultiver une vraie relation avec leurs donn\u00e9es, \u00e0 tous les niveaux de l’organisation. Sans cette fondation culturelle, aucune technologie, aussi performante soit-elle, ne pourra tenir ses promesses. 
 
Propos recueillis lors de la 20<\/em>e<\/sup><\/em> Swiss Digital Conf\u00e9rence (29.01.2026)<\/em><\/p>\n\n\n\n

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L’intelligence artificielle\u00a0(IA)\u00a0ne se d\u00e9ploie pas efficacement dans une entreprise sans une transformation culturelle profonde. C’est le message central de Silvia\u00a0Quarteroni, responsable innovation au\u00a0Swiss\u00a0Data Science Center (SDSC), lors de la 20e\u00a0Swiss\u00a0Digital Conf\u00e9rence \u00e0 Sierre. \u00ab\u2009Les sujets doivent venir du m\u00e9tier. C’est le m\u00e9tier qui va finalement amener l’impact. Ce\u00a0n’est\u00a0pas les personnes en charge de l\u2019informatique\u00a0ni des\u00a0finances\u2009\u00bb, […]<\/p>\n","protected":false},"author":13,"featured_media":16608,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-16606","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"\nL'IA dans\u00a0votre\u00a0PME\u2009:\u00a0la culture de la donn\u00e9e avant la technologie\u2009!\u00a0\u00a0 – Swiss Digital Center<\/title>\n<meta name=\"description\" content=\"L'intelligence artificielle (IA) ne se d\u00e9ploie pas efficacement dans une entreprise sans une transformation culturelle profonde. 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