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Dwivedi"}}],"image":{"id":"image-aa033dd8e5","height":"443","src":"/adobe/dynamicmedia/deliver/dm-aid--fdc22e8d-9f22-4abf-8712-503a440e593a/expedition-rollup-1-temp-blog-header.png?quality=85&preferwebp=true","alt":"Image of Expedition mountain icon","lazyEnabled":true,"isLcpImage":false,"width":"1114",":type":"snowflake-site/components/image"},"timeToRead":"9","publicationDate":"NOV 03, 2026","tag":{"tagText":"Produit et technologie","tagColor":"#3F808A"},"title":{"lines":["Créer plus vite et travailler plus intelligemment avec des agents d’IA et des applications ancrés dans les données"],"type":"heading2",":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/blog/blog-hero"}},":itemsOrder":["blog_hero"]},"responsivegrid_content":{"columnCount":12,"columnClassNames":{"youtube":"aem-GridColumn aem-GridColumn--default--12","wistia_video":"aem-GridColumn aem-GridColumn--default--12","blog_title_1062003545":"aem-GridColumn 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déployé des agents en production, alors que 38 % les expérimentent. Dans tous les secteurs et les entreprises de toutes tailles, nous observons ce même fossé entre pilotes et déploiements en production : les équipes peuvent créer une démo convaincante et la déployer sur des données réelles, pour finalement la voir fournir avec assurance un chiffre d’affaires erroné ou ignorer une contrainte réglementaire qu’un analyste junior aurait repérée. \u003C/p\u003E\n\u003Cp\u003ELe problème ? Le manque de contexte. Les agents doivent savoir quelle définition d’un indicateur fait autorité, quelles données sont à jour, de quelles autorisations dispose chaque utilisateur et ce qui s’est dit lors de la dernière conversation. Sans cet ancrage, même le modèle le plus performant en est réduit aux suppositions. Et même lorsque les agents trouvent la bonne réponse, partager ces enseignements avec les autres équipes business peut s’avérer difficile.\u003C/p\u003E\n\u003Cp\u003EÀ l’occasion d’\u003Ca href=\"https://www.snowflake.com/en/expedition\" target=\"_blank\"\u003EExpedition 2026,\u003C/a\u003E Snowflake annonce des fonctionnalités qui renforcent, selon trois axes, la manière dont les agents et les applications fonctionnent au plus près de vos données, avec toute la gouvernance et le contexte nécessaires :\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EAncrer : \u003C/b\u003Econnecter les agents à vos données gouvernées, à vos indicateurs et à votre logique business afin qu’ils répondent à partir de définitions faisant autorité, et non de simples suppositions.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EAgir : \u003C/b\u003Epermettre aux agents d’effectuer des tâches concrètes selon les autorisations propres à chaque utilisateur, dans les outils déjà employés par les équipes et avec une traçabilité claire. Déployer rapidement et en toute sécurité des applications Snowflake sur des données gouvernées afin que les utilisateurs et les agents puissent dégager des enseignements et passer à l’action.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EDémultiplier : \u003C/b\u003Epartager les compétences éprouvées, les profils et la mémoire dans toute l’organisation, afin que chaque nouvel agent soit d’emblée plus performant que le précédent.\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title":{"id":"blog-title-1daf6eff04","propertiesId":"ancrer-fournir-a-chaque-agent-les-donnees-et-le-contexte-business-pertinents-des-le-premier-jour","type":"heading2","lines":["Ancrer : fournir à chaque agent les données et le contexte business pertinents dès le premier jour"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_461565667":{"id":"blog-text-1bd518ec7a","text":"\u003Cp\u003EL’équipe de recherche d’a16z le résume clairement dans son \u003Ca href=\"https://a16z.com/your-data-agents-need-context/\" target=\"_blank\"\u003Eanalyse de mars 2026\u003C/a\u003E : « L’une des principales raisons pour lesquelles les agents ne fonctionnaient pas correctement était l’absence de contexte adéquat sur les données. » Un agent chargé de répondre à la question « Quelle a été la croissance du chiffre d’affaires au dernier trimestre ? » peut écrire une requête SQL parfaitement valide sur une table apparemment pertinente, tout en renvoyant avec aplomb des chiffres erronés, simplement parce que personne ne lui a indiqué quel champ contient la définition de référence du « chiffre d’affaires ».\u003C/p\u003E\n\u003Cp\u003E\u003Cb\u003EL’approche de Snowflake repose sur un principe : les agents doivent hériter du contexte déjà mis en place par votre organisation.\u003C/b\u003E Cela comprend les schémas, les indicateurs, la logique business, les politiques de gouvernance et les autorisations qui définissent le fonctionnement de vos données. Plusieurs fonctionnalités nouvelles ou améliorées concrétisent ce principe.\u003C/p\u003E\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/fr/blog/enterprise-ai-agents-grounded-context/\" target=\"_blank\"\u003E\u003Cb\u003ESnowflake Cortex Sense\u003C/b\u003E\u003C/a\u003E (bientôt en public preview) crée automatiquement le contexte à partir de vos schémas, de vos définitions d’indicateurs et de votre logique business existants. Vous évitez ainsi de consacrer des semaines à configurer et à définir des connexions. Cortex Sense fonctionne avec vos propres données, les données partagées et celles que vous achetez sur la Marketplace Snowflake : les agents disposent ainsi d’une vue d’ensemble, et non de la vision parcellaire d’une seule équipe.\u003C/p\u003E\n\u003Cp\u003ELorsque les agents doivent raisonner sur de grands volumes d’informations non structurées, \u003Cb\u003Ela recherche analytique\u003C/b\u003E (en public preview) leur permet de dénombrer des éléments, d’effectuer des comparaisons et de dégager des tendances dans des milliers de documents à la fois, qu’il s’agisse de contrats, de tickets d’assistance ou de rapports internes. Il ne s’agit pas d’une recherche par mots-clés : la recherche analytique applique des fonctions d’IA à des collections de documents pour répondre à des questions telles que « Combien de contrats contiennent une clause d’indexation des prix ? » ou « Quels tickets d’assistance mentionnent la même cause première ? » Et puisque \u003Cb\u003ECortex Search\u003C/b\u003E applique désormais les politiques d’accès aux lignes et les politiques de masquage aux tables sources (en private preview), les documents accessibles à un agent obéissent aux mêmes règles que les données structurées qu’il interroge. \u003C/p\u003E\n\u003Cp\u003EÀ mesure que les agents passent de la recherche à la compréhension des documents, le nouveau modèle d’embedding de Snowflake, \u003Cb\u003EArctic Embed 3S\u003C/b\u003E (bientôt disponible pour tous nos clients), \u003Cb\u003Eaméliore la qualité de la récupération par rapport à Arctic Embed L-v2.0 de 3 % en anglais, de 6 % pour la recherche multilingue et de 23 % pour les tables et colonnes structurées\u003C/b\u003E, tout en conservant le même format compact.\u003C/p\u003E\n\u003Cp\u003EÀ mesure que les modèles de pointe se banalisent, l’avantage concurrentiel dépend de leur capacité à comprendre vos enjeux stratégiques spécifiques. Les entreprises se tournent vers des modèles de fondation à poids ouverts, adaptés à leur domaine au moyen de méthodes de post-entraînement telles que le fine-tuning supervisé et l’apprentissage par renforcement. \u003Cb\u003E\u003Ca href=\"http://www.snowflake.com/fr/blog/cortex-training-fine-tune-open-weight-llms/\"\u003ESnowflake Cortex Training\u003C/a\u003E \u003C/b\u003E(en public preview) permet de post-entraîner et de déployer simplement des modèles à poids ouverts, comme Qwen, DeepSeek, Mistral ou Gemma, sur des données propriétaires à l’aide de GPU entièrement gérés. \u003Cb\u003ELes benchmarks révèlent un coût jusqu’à 61 % inférieur à celui des offres serverless concurrentes.\u003Csup\u003E1\u003C/sup\u003E\u003C/b\u003E\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_text_177032528":{"id":"blog-text-eb5609b32f","text":"\u003Cp\u003E \u003C/p\u003E\n\u003Cp\u003EAvec Cortex Training, les équipes peuvent entraîner, tester, évaluer et déployer des modèles personnalisés sur la même plateforme que leurs données gouvernées. Cortex Training intègre également \u003Ca target=\"_blank\" href=\"https://www.snowflake.com/fr/blog/cortex-ai-gateway-control-plane-enterprise-ai/\"\u003ECortex AI Gateway\u003C/a\u003E (en public preview) pour capturer les traces et les logs des agents, créant ainsi une boucle de rétroaction continue qui facilite la personnalisation et l’amélioration des modèles.\u003C/p\u003E\n\u003Cp\u003EDe nouvelles fonctionnalités rendent également les données partagées et externes agentiques. Le \u003Ca target=\"_blank\" href=\"https://app.snowflake.com/marketplace/listing/GZTSZ290BW2O9/snowflake-curated-data-products-private-preview-snowflake-ai-data-package-%E2%80%94-industry-data-semantic-models-ai-agent\"\u003E\u003Cb\u003EAI Data Package\u003C/b\u003E\u003C/a\u003E (en public preview) regroupe plus de 60 jeux de données externes sélectionnés dans des secteurs clés. Il inclut des vues sémantiques et un agent Snowflake CoWork prêt à l’emploi, fourni sous forme de service géré. \u003Cb\u003EAgentic Marketplace Discovery\u003C/b\u003E (en public preview), Powered by Snowflake CoCo, permet aux utilisateurs de rechercher des données, des applications et des solutions d’IA par le biais d’une conversation.\u003Ca target=\"_blank\" href=\"https://www.snowflake.com/en/developers/guides/creating-cortex-agents-for-marketplace-data-providers/\"\u003E \u003Cb\u003EAgents for Shared Data\u003C/b\u003E \u003C/a\u003E(en public preview) génère automatiquement un Cortex Agent et une vue sémantique pour toutes les données partagées, afin que leurs destinataires puissent les utiliser de manière conversationnelle. Ensemble, ces fonctionnalités permettent aux utilisateurs de découvrir, d’interroger au moyen de requêtes et d’exploiter des données partagées et externes entièrement en langage naturel.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_1785283666":{"id":"blog-title-3fa561582a","propertiesId":"agir-confier-aux-agents-des-taches-concretes-la-ou-travaillent-les-equipes","type":"heading2","lines":["Agir : confier aux agents des tâches concrètes, là où travaillent les équipes"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_1310573602":{"id":"blog-text-564ed2f732","text":"\u003Cp\u003EAncrer les agents dans les bonnes données constitue le point de départ. Reste ensuite à savoir s’ils peuvent effectuer des tâches concrètes de manière autonome, avec les autorisations appropriées et là où les équipes travaillent au quotidien. Les \u003Ca href=\"https://www.capgemini.com/insights/research-library/ai-agents/\" target=\"_blank\"\u003Erecherches de Capgemini\u003C/a\u003E montrent que \u003Cb\u003Ela confiance dans les agents d’IA entièrement autonomes est passée de 43 % à 27 % en un an \u003C/b\u003E, en raison des inquiétudes concernant la confidentialité des données, l’opacité de la « boîte noire de l’IA » et la préparation insuffisante des données.  \u003C/p\u003E\n\u003Cp\u003EL’approche intégrée et gouvernée de Snowflake en matière d’IA vise à éviter cette situation. Nos dernières améliorations contribuent à créer la confiance envers les agents grâce à la transparence, à l’application des autorisations et à la traçabilité.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_100862755":{"id":"blog-title-5717323586","propertiesId":"snowflake-coco-lagent-de-codage-qui-continue-a-travailler-apres-votre-deconnexion","type":"heading3","lines":["Snowflake CoCo : l’agent de codage qui continue à travailler après votre déconnexion"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_727236657":{"id":"blog-text-ddf005bc53","text":"\u003Cp\u003E\u003Ca target=\"_blank\" href=\"https://www.snowflake.com/fr/product/snowflake-coco/\"\u003ESnowflake CoCo\u003C/a\u003E, l’agent de codage destiné aux équipes data, peut désormais effectuer de manière autonome des tâches concrètes sur plusieurs sessions, calendriers et outils.\u003C/p\u003E\n\u003Cp\u003E\u003Cb\u003ECoCo Automations \u003C/b\u003E(disponible pour tous nos clients dans l’interface Snowsight et la CLI ; en public preview dans CoCo Desktop) transforme les tâches récurrentes de votre liste en tâches Snowflake planifiées. Un ingénieur data décrit une tâche en langage courant, par exemple « vérifier l’état du pipeline avant la réunion quotidienne » ou « recréer le rapport du lundi », puis en définit la fréquence. Chaque exécution produit une transcription, respecte les autorisations de la personne à l’origine de l’automatisation et applique des quotas prédéfinis qui plafonnent les dépenses de l’agent. Les équipes peuvent partager leurs automatisations et les compétences CoCo qu’elles ont créées grâce à un \u003Cb\u003ESkills and Plugin Catalog\u003C/b\u003E accessible à l’échelle du compte. Le workflow créé par un ingénieur devient ainsi disponible pour toute l’équipe.\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"youtube":{"id":"embed-2a632563b7","youtubeVideoId":"mmb5Li_B_As","layout":"responsive","youtubeAspectRatio":"56.25","youtubeAutoPlay":false,"youtubeLoop":false,"youtubeMute":false,"youtubePlaysInline":false,"youtubeRel":false,"embeddableResourceType":"core/wcm/components/embed/v1/embed/embeddable/youtube","isLcpImage":true,"type":"EMBEDDABLE",":type":"snowflake-site/components/youtube"},"blog_text_286102237":{"id":"blog-text-243320b2ad","text":"\u003Cp\u003ESnowsight propose désormais un \u003Cb\u003Emode CoCo\u003C/b\u003E, un espace de travail en plein écran reposant sur son propre conteneur cloud, avec un shell, un système de fichiers, Git et un aperçu en direct. Lancez une longue migration ou une analyse en plusieurs étapes, ou créez un pipeline, puis fermez votre ordinateur et retrouvez les résultats terminés à votre retour. Avec \u003Cb\u003Eles agents Cloud\u003C/b\u003E (disponible pour tous nos clients), les équipes peuvent exécuter CoCo dans un environnement isolé géré par Snowflake, conçu pour les tâches de longue durée. Chaque session utilise les autorisations Snowflake de la personne qui l’a créée, tandis que \u003Cb\u003Erestricted session scope\u003C/b\u003E (disponible pour tous nos clients) permet aux administrateurs de limiter davantage les actions de chaque agent.\u003C/p\u003E\n\u003Cp\u003ECoCo rejoint désormais aussi les équipes dans leurs outils de travail habituels. L’\u003Cb\u003Eintégration CoCo Slackbot\u003C/b\u003E (en public preview) intègre CoCo aux canaux Slack pour poser des questions, déclencher des workflows et examiner les résultats. L’\u003Cb\u003Eintégration CoCo GitHub\u003C/b\u003E(en public preview) soumet les modifications de code proposées au processus de pull request déjà utilisé par l’équipe. \u003Cb\u003ECoCo in Snowflake Mobile\u003C/b\u003E (iOS disponible pour tous nos clients ; Android en public preview) permet aux utilisateurs de suivre une session cloud, d’approuver un appel d’outil ou d’envoyer une demande complémentaire depuis leur téléphone. Avec le \u003Cb\u003E\u003Ca href=\"https://docs.snowflake.com/fr/user-guide/cortex-code-agent-sdk/cortex-code-agent-sdk\" target=\"_blank\"\u003ESDK Cortex Agent\u003C/a\u003E \u003C/b\u003E(en public preview), les développeurs peuvent également intégrer les capacités de codage de CoCo à toute application qu’ils proposent.\u003C/p\u003E\n\u003Cp\u003EPour en savoir plus, \u003Ca href=\"https://www.snowflake.com/fr/blog/snowflake-coco-cloud-agents-automations/\" target=\"_blank\"\u003Econsultez notre article de blog consacré aux nouvelles améliorations de CoCo.\u003C/a\u003E\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_1062003545":{"id":"blog-title-0bde0efa51","propertiesId":"snowflake-cowork-un-agent-de-travail-personnel-pour-chaque-equipe","type":"heading3","lines":["Snowflake CoWork : Un agent de travail personnel pour chaque équipe"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_268868741":{"id":"blog-text-13a57ace14","text":"\u003Cp\u003E\u003Ca target=\"_blank\" href=\"https://www.snowflake.com/fr/product/snowflake-cowork/\"\u003ESnowflake CoWork\u003C/a\u003E est l’agent de travail personnel des professionnels du savoir dans toute l’organisation. À l’occasion d’Expedition, nous ajoutons la possibilité d’adapter CoWork aux besoins spécifiques de votre équipe.\u003C/p\u003E\n\u003Cp\u003ETout commence avec \u003Cb\u003Eles Profils CoWork\u003C/b\u003E (en public preview), qui permettent aux administrateurs de configurer les agents, les compétences, les connecteurs et les instructions visibles par chaque équipe. L’expérience CoWork de l’équipe Finance peut orienter les questions vers un agent de planification financière, tandis que celle de l’équipe Marketing les transmet à un agent d’analyse des campagnes, sans élargir les droits d’accès. Chaque question est automatiquement adressée à l’expertise appropriée. Les utilisateurs peuvent donc la poser naturellement, sans avoir à choisir dans un menu d’agents qu’ils ne connaissent pas.\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"image":{"id":"image-fb86dba80b","height":"1077","src":"/adobe/dynamicmedia/deliver/dm-aid--763ac3ee-2679-453e-9265-ef01318a0ae6/admin-enabling-profile.gif?quality=85&preferwebp=true","alt":"Gif of Snowflake CoWork profiles feature","lazyEnabled":true,"isLcpImage":false,"width":"1920",":type":"snowflake-site/components/image"},"blog_text_97780628":{"id":"blog-text-78a72537a5","text":"\u003Cp\u003E \u003C/p\u003E\n\u003Cp\u003EEnsuite, \u003Cb\u003Eles Tableaux de bord Snowflake \u003C/b\u003E(en public preview) permettent à chaque membre de l’équipe d’échanger avec son tableau de bord via CoWork : le résumer, demander ce qui explique une évolution ou filtrer les résultats selon un segment. Les analystes data peuvent créer les tableaux de bord en les décrivant à CoCo, puis les partager avec les rôles appropriés. Les données sous-jacentes au tableau de bord restent dans Snowflake et sont régies par les politiques existantes d’accès aux lignes et les politiques de masquage.\u003C/p\u003E\n\u003Cp\u003ELes tableaux de bord créent une source de référence commune qui permet aux équipes d’avoir des conversations assistées par l’IA, alimentées par des données gouvernées et un contexte partagé. Snowflake accueille l’équipe \u003Ca target=\"_blank\" href=\"https://mora.com/\"\u003EMora\u003C/a\u003E afin de renforcer ces initiatives en \u003Cb\u003Eintégrant à sa plateforme l’approche innovante de Mora en matière d’IA appliquée à la Business Intelligence.\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003EPour les besoins qui vont au-delà des tableaux de bord, comme l’exploration personnalisée, les visualisations avancées ou les workflows en plusieurs étapes, les équipes peuvent créer des \u003Ca target=\"_blank\" href=\"https://docs.snowflake.com/fr/developer-guide/streamlit/about-streamlit\"\u003Eapplications Streamlit in Snowflake\u003C/a\u003E, ou des applications React et \u003Ca target=\"_blank\" href=\"http://next.js\"\u003ENext.js\u003C/a\u003E sur \u003Ca target=\"_blank\" href=\"https://docs.snowflake.com/en/developer-guide/snowflake-app-runtime/about-snowflake-app-runtime\"\u003ESnowflake App Runtime\u003C/a\u003E, avec une IA conversationnelle intégrée. \u003C/p\u003E\n\u003Cp\u003ELes fonctionnalités plus larges de CoWork s’enrichissent également à l’occasion d’Expedition. \u003Cb\u003EAutomations\u003C/b\u003E exécute les tâches récurrentes selon un calendrier, avec les mêmes autorisations qu’une question posée en direct. \u003Cb\u003EUser Memory\u003C/b\u003E (disponible pour tous nos clients) et \u003Cb\u003EUser Skills \u003C/b\u003E transmettent le contexte d’une session à l’autre, afin que personne n’ait à réexpliquer le fonctionnement de l’équipe. \u003Cb\u003ELes connecteurs MCP, l’exécution de code et la génération de documents\u003C/b\u003E (PDF, PPTX, DOCX, HTML) transforment les réponses en livrables partageables, tandis que \u003Cb\u003EHTML Reports\u003C/b\u003E (en public preview) permet aux équipes de publier des rapports soignés et gouvernés directement depuis une conversation CoWork. \u003C/p\u003E\n\u003Cp\u003E\u003Ca target=\"_blank\" href=\"https://www.snowflake.com/fr/blog/snowflake-cowork-profiles-automations-dashboards\"\u003EPour en savoir plus, consultez notre article de blog consacré aux nouvelles améliorations de CoWork.\u003C/a\u003E\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_830892397":{"id":"blog-title-433ca24c74","propertiesId":"snowflake-bots-toujours-actifs-toujours-sur-le-coup","type":"heading3","lines":["Snowflake Bots : Toujours actifs, toujours sur le coup"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_516133111":{"id":"blog-text-da69f43c02","text":"\u003Cp\u003E\u003Cb\u003ESnowflake Bots\u003C/b\u003E (bientôt en private preview) intègre à CoCo et CoWork des agents proactifs pilotés par des objectifs. Confiez à un bot une responsabilité, par exemple maintenir le bon fonctionnement de pipelines stratégiques ou surveiller l’attrition client, et il prendra en charge l’objectif de bout en bout : il suggérera les signaux à suivre, planifiera le travail et mènera la tâche à son terme sur plusieurs jours ou semaines, à partir de vos données gouvernées et dans le respect de vos autorisations existantes. \u003C/p\u003E\n\u003Cp\u003ELe bot ne vous sollicite que lorsqu’une décision nécessite une intervention humaine, puis vous informe une fois la tâche terminée. Votre équipe consacre ainsi moins de temps au suivi et davantage aux activités stratégiques et créatives que seuls les humains peuvent accomplir.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_2117682272":{"id":"blog-title-a3f1c5eb5c","propertiesId":"des-applications-accessibles-aux-agents-et-integrables-au-dela-de-snowflake","type":"heading3","lines":["Des applications accessibles aux agents et intégrables au-delà de Snowflake"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_1914023450":{"id":"blog-text-f2f504a661","text":"\u003Cp\u003EDe nouvelles améliorations étendent la portée et la flexibilité des applications Snowflake, qu’elles soient internes ou destinées aux clients, tout en leur offrant une prise en charge native des workflows agentiques. \u003C/p\u003E\n\u003Cp\u003ELes applications \u003Ca href=\"https://www.snowflake.com/en/product/features/streamlit-in-snowflake/\" target=\"_blank\"\u003EStreamlit in Snowflake\u003C/a\u003E bénéficient de plusieurs fonctionnalités qui étendent leur portée et leurs capacités conversationnelles : \u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E\u003Ca href=\"https://docs.snowflake.com/fr/developer-guide/streamlit/features/sharing-streamlit-apps\" target=\"_blank\"\u003ELe partage par utilisateur\u003C/a\u003E (disponible pour tous nos clients) : \u003C/b\u003Eles équipes peuvent partager des applications avec des utilisateurs individuels, en plus des rôles. \u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ELa prise en charge de l’intégration (disponible pour tous nos clients) : \u003C/b\u003Eles applications Streamlit sont désormais \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/streamlit/features/embedding/overview\" target=\"_blank\"\u003Eintégrables\u003C/a\u003E à des portails et à des outils tiers tels que Salesforce, sans exiger de connexion à Snowflake et tout en préservant la gouvernance des accès. \u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ELa facilité de découverte et de consultation : \u003C/b\u003Eles applications peuvent apparaître sous forme d’artefacts CoWork dans CoWork (en private preview).\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ELes capacités conversationnelles : \u003C/b\u003Eles utilisateurs peuvent échanger directement avec CoCo dans Snowsight (disponible pour tous nos clients) et CoWork (en private preview) au sujet des données de leurs applications. \u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EL’exposition MCP automatique (en public preview) : \u003C/b\u003Echaque application devient un ensemble d’outils que les agents peuvent appeler pour exploiter directement ses données et ses actions.\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"wistia_video":{"id":"wistia-video-b0d2b6b9cd","title":{"id":"title","type":"heading1","lines":["Créer plus vite et travailler plus intelligemment avec des agents d’IA et des applications ancrés dans les données"],":type":"snowflake-site/components/title"},"wistiaVideoId":"7dok3l7q40","showVideoLength":true,"showRewatchButton":true,":type":"snowflake-site/components/wistia-video"},"blog_text_1901730580":{"id":"blog-text-cb13f3dc80","text":"\u003Cp\u003EPour les applications web full-stack, \u003Cb\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/snowflake-app-runtime/about-snowflake-app-runtime\" target=\"_blank\"\u003EApp Runtime\u003C/a\u003E\u003C/b\u003E offre une solution de bout en bout, du prompt au déploiement de l’application web dans votre compte Snowflake. Décrivez votre idée d’application à Snowflake CoCo, qui pourra la créer et la publier dans votre compte Snowflake, avec l’authentification unique (SSO), le contrôle d’accès basé sur les rôles et la journalisation des audits déjà activés. \u003Cb\u003ELe calcul serverless \u003C/b\u003E(bientôt en public preview) permet aux applications de faire évoluer automatiquement leurs ressources jusqu’à zéro lorsqu’elles sont inactives, puis de redémarrer en quelques secondes dès qu’un utilisateur les ouvre. Les équipes ne paient ainsi que leur utilisation réelle, plutôt qu’un calcul actif en permanence. \u003C/p\u003E\n\u003Cp\u003E\u003Cb\u003EL’intégration d’espaces de travail\u003C/b\u003E (bientôt en public preview) permet aux équipes de créer et de déployer leurs applications entièrement dans Snowsight lorsque les outils de développement locaux sont restreints. Avec le \u003Ca href=\"https://docs.snowflake.com/fr/user-guide/cortex-code-agent-sdk/cortex-code-agent-sdk\" target=\"_blank\"\u003ESDK Cortex Agent\u003C/a\u003E, app.yml v2, les cibles de déploiement et la mise à l’échelle horizontale, App Runtime offre une voie claire pour passer d’un prototype généré par CoCo à une exploitation en production.\u003C/p\u003E\n\u003Cp\u003ELes améliorations apportées aux \u003Ca href=\"https://www.snowflake.com/fr/product/features/native-apps/\" target=\"_blank\"\u003ESnowflake Native Apps\u003C/a\u003E enrichissent également les possibilités de création offertes aux partenaires ISV et aux fournisseurs d’applications. L’utilisation d’\u003Cb\u003EApp Runtime comme frontend pour les Snowflake Native Apps \u003C/b\u003E(bientôt en public preview) offre aux fournisseurs un environnement web full-stack pour l’exploration avancée des données et les workflows complexes. Les Snowflake Native Apps \u003Cb\u003Eont désormais accès à Snowflake Postgres\u003C/b\u003E (bientôt en public preview). Les fournisseurs peuvent ainsi créer des instances Postgres et y exécuter des requêtes directement dans leur compte, sans recourir à des solutions de contournement pour l’intégration des accès externes. \u003C/p\u003E\n\u003Cp\u003EEnsemble, ces fonctionnalités font des applications Snowflake un pilier de l’entreprise agentique. Les agents peuvent désormais accéder aux applications internes comme externes et les intégrer dans des environnements autres que Snowflake. Toutes reposent sur des données gouvernées.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_187672774":{"id":"blog-title-b2cdfd167a","propertiesId":"effet-cumulatif-transformer-les-reussites-individuelles-des-agents-en-avantage-collectif","type":"heading2","lines":["Effet cumulatif : transformer les réussites individuelles des agents en avantage collectif"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_420861939":{"id":"blog-text-8d03d8cb73","text":"\u003Cp\u003ELes agents bien ancrés dans le contexte créent de la valeur à l’échelle de l’organisation lorsque chacun exploite les enseignements du précédent. Les workflows éprouvés, le contexte de l’équipe et le routage des modèles optimisé en termes de coûts sont alors partagés par défaut, plutôt que recréés pour chaque projet.\u003C/p\u003E\n\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code-skill-plugin-sharing\"\u003ELe partage des compétences et des plugins\u003C/a\u003E (disponible pour tous nos clients) transforme le workflow d’un expert en un actif gouverné et réutilisable dans l’ensemble de votre compte Snowflake. Créez une seule fois une compétence de vérification des pipelines ou de contrôle de la qualité des données, puis partagez-la via un lien snow:// ou rendez-la accessible dans le catalogue Snowsight doté d’un moteur de recherche. Les membres de l’équipe disposant des accès nécessaires peuvent l’installer dans CoCo Desktop, Snowsight CoCo ou la CLI CoCo. Les administrateurs certifient les versions fiables, définissent celles que les agents doivent utiliser et suivent leur adoption. Vos équipes consomment moins de tokens à résoudre plusieurs fois le même problème et obtiennent des résultats plus homogènes. Vos agents suivent quant à eux des procédures validées au lieu d’improviser.\u003C/p\u003E\n\u003Cp\u003ELes \u003Cb\u003EProfils d’agents\u003C/b\u003E appliquent à chaque session les paramètres par défaut propres à l’équipe, notamment les instructions, les connecteurs et les sources de données privilégiées. Associés à \u003Cb\u003EMemory\u003C/b\u003E, qui conserve le contexte personnel d’une session à l’autre, les agents entament chaque conversation en sachant parfaitement comment travaille l’équipe, ce qui a été abordé la dernière fois et quelles conventions respecter. Plus besoin de réexpliquer le tech stack ou les conventions de nommage chaque lundi matin.\u003C/p\u003E\n\u003Cp\u003ELes \u003Cb\u003Eniveaux de modèles\u003C/b\u003E avec routage automatique attribuent à chaque tâche le modèle le mieux adapté. Les tâches courantes de synthèse et de mise en forme s’exécutent sur des modèles économiques, tandis que les tâches de raisonnement complexes sont confiées à des modèles plus performants. Les équipes obtiennent la qualité dont elles ont besoin sans sélectionner manuellement les modèles ni dépenser trop pour des tâches simples.\u003C/p\u003E\n\u003Cp\u003EEnfin, \u003Cb\u003EAgentic Marketplace Discovery\u003C/b\u003E (en public preview) intègre CoCo à la Marketplace Snowflake dans Snowsight. Les utilisateurs peuvent décrire leur besoin, par exemple « des données firmographiques sur les entreprises pour les comptes de la région EMEA », puis l’affiner au fil de la conversation pendant que CoCo recherche et compare les données, applications et produits d’IA correspondants. Depuis cette même conversation, les utilisateurs peuvent consulter une référence, l’installer, lancer un essai ou demander un devis, si la référence propose ces options et si leur rôle les y autorise. La découverte devient ainsi la première étape pour mettre de nouvelles données au service de votre organisation.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_1396145136":{"id":"blog-title-6514a4a80c","propertiesId":"creer-et-utiliser-des-agents-qui-connaissent-vos-enjeux-strategiques-et-accomplissent-un-veritable-travail","type":"heading2","lines":["Créer et utiliser des agents qui connaissent vos enjeux stratégiques et accomplissent un véritable travail"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_2048836720":{"id":"blog-text-52bcec8a73","text":"\u003Cp\u003ECes annonces illustrent l’engagement de Snowflake envers un principe de conception commun : les agents doivent fonctionner sur la même plateforme que les données dont ils ont besoin, hériter de la gouvernance existante et s’améliorer à mesure qu’ils sont utilisés. Lorsque les agents s’appuient sur vos données et disposent des garde-fous adaptés pour agir avec de véritables autorisations, ils fournissent des réponses et des résultats fiables sans alourdir vos workflows d’IA.\u003C/p\u003E\n\u003Cp\u003EDécouvrez les autres annonces de Snowflake Expedition sur \u003Ca target=\"_blank\" href=\"http://snowflake.com/en/blog/expedition-26/\"\u003Esnowflake.com/en/blog/expedition-26/\u003C/a\u003E, ou participez à l’événement virtuel sur \u003Ca target=\"_blank\" href=\"http://snowflake.com/en/expedition/\"\u003Esnowflake.com/en/expedition/\u003C/a\u003E.\u003Cbr\u003E\n\u003C/p\u003E\n\u003Cp\u003E\u003Ci\u003EDéclarations prospectives : Cet article peut contenir des déclarations prospectives, notamment concernant de futures offres de produits, et ne constitue pas un engagement à proposer de telles offres. Les résultats obtenus et les offres proposées peuvent différer. Découvrez notre dernier 10‑Q pour en savoir plus.\u003C/i\u003E\u003C/p\u003E\n\u003Cp\u003E\u003Csup\u003E1 \u003C/sup\u003EMéthodologie de comparaison des coûts : Les tarifs de Fireworks et Tinker reposent sur ceux publiés le 22 octobre 2026 sur leurs pages web. Nous avons exécuté des charges de travail d’entraînement LoRA SFT sur Cortex Training avec différentes longueurs de contexte, puis mesuré le débit par GPU H200. Nous avons utilisé le débit (toks/sec) pour calculer le prix par million de tokens de Cortex Training selon la formule \u003Ci\u003E(price_per_second / throughput) x 1M.\u003C/i\u003E\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_1940305924":{"id":"blog-title-60321ff9e4","propertiesId":"questions-frequentes","type":"heading2","lines":["Questions fréquentes"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_502359727":{"id":"blog-text-9d86a4c2b0","text":"\u003Ch4\u003EQuelles annonces relatives aux agents ont été faites lors de Snowflake Expedition 2026 ?\u003C/h4\u003E\n\u003Cp\u003EParmi les principales annonces figurent le mode CoCo dans Snowsight, les agents Cloud pour les workflows de codage autonomes, les Profils CoWork pour le routage des agents propre à chaque équipe, les Tableaux de bord Snowflake dans CoWork, Cortex Training pour personnaliser les modèles à poids ouverts, App Runtime avec calcul serverless, le partage des compétences et des plugins pour la réutilisation à l’échelle de l’organisation et Agentic Marketplace Discovery pour le sourcing conversationnel de data.\u003C/p\u003E\n\u003Ch4\u003EComment Snowflake renforce-t-il la fiabilité des agents d’IA ?\u003C/h4\u003E\n\u003Cp\u003EGrâce à Cortex Sense, Snowflake ancre les agents dans des données gouvernées en générant automatiquement du contexte à partir des schémas, des métriques et de la logique business. Les agents héritent des autorisations, des politiques d’accès aux lignes et des règles de masquage existantes. Ils peuvent ainsi répondre à partir de définitions faisant autorité, plutôt que de formuler des hypothèses. Les actions des agents s’exécutent avec les autorisations Snowflake de l’utilisateur ou du propriétaire et sont auditables.\u003C/p\u003E\n\u003Ch4\u003EQu’est-ce que Cortex Sense ?\u003C/h4\u003E\n\u003Cp\u003ECortex Sense (bientôt en public preview) génère automatiquement un contexte business à partir de vos schémas, de vos définitions de métriques et de votre logique business existants. Il vise à supprimer les semaines de prompt engineering manuel généralement nécessaires pour qu’un agent comprenne vos données. Il fonctionne avec vos propres données, les données partagées et celles de la marketplace.\u003C/p\u003E\n\u003Ch4\u003EQu’est-ce que le mode agent CoCo ? \u003C/h4\u003E\n\u003Cp\u003ELe mode agent CoCo fournit à l’agent de codage de Snowflake un espace de travail en plein écran adossé à un conteneur cloud. Les ingénieurs data peuvent lancer des migrations, des builds ou des analyses de longue durée, fermer leur ordinateur portable, puis revenir une fois les résultats prêts. Les sessions s’exécutent avec les autorisations Snowflake de l’utilisateur et une portée de session restreinte pour renforcer les contrôles.\u003C/p\u003E\n\u003Ch4\u003EQue sont les Profils CoWork ?\u003C/h4\u003E\n\u003Cp\u003ELes Profils CoWork (en public preview) permettent aux administrateurs de configurer une expérience agent sur mesure pour chaque équipe en précisant les agents, compétences, connecteurs et instructions disponibles. 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