{"templateName":"blog-page","cssClassNames":"blog-page page basicpage summit-page","allowedRenditionsWidth":["320","480","640","768","960","1200","1440","1920"],"description":"Claude Sonnet 5 est désormais disponible en private preview sur Snowflake Cortex AI, avec des capacités avancées de raisonnement et d’IA agentique sur la plateforme d’IA sécurisée et gouvernée de Snowflake","language":"fr","title":"Lancement de Claude Sonnet 5 sur Snowflake Cortex AI","analyticsPageType":"homepage","analyticsCategory":"general","analyticsSubCategory":"","excludeFromAnalytics":false,":mappedPath":"/fr/blog/claude-sonnet-5-snowflake-cortex-ai/",":type":"snowflake-site/components/structure/page",":items":{"root":{"columnCount":12,"columnClassNames":{"experiencefragment-banner":"aem-GridColumn aem-GridColumn--default--12","experiencefragment-sub-header":"aem-GridColumn aem-GridColumn--default--12","experiencefragment-pre-footer":"aem-GridColumn 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Agarwal","lazyEnabled":true,"width":"720",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-124d98d3d7","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/arun-agarwal/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Arun Agarwal"}},{"authorImage":{"id":"image-ab7791a23f","height":"450","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--7342b8b6-0177-4562-b6d8-7798a4e68bf2/hyungtaekim.png?quality=85&preferwebp=true","lazyEnabled":true,"width":"450",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-7a810b567a","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/hyungtae-kim/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Hyungtae Kim"}},{"authorImage":{"id":"image-7e5b281848","height":"512","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--15ebdd56-bea2-423c-be95-18693e9ac4ec/danmeihead.png?quality=85&preferwebp=true","alt":"Danmei Xu","lazyEnabled":true,"width":"512",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-61a2833284","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/danmei-xu/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Danmei Xu"}},{"authorImage":{"id":"image-ff8832aaf3","height":"508","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--a394c719-c932-4161-ac03-00d4b946e03d/sumit-kumar.jpg?quality=85&preferwebp=true","lazyEnabled":true,"width":"508",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-b380844232","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/sumit-kumar/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Sumit Kumar"}}],"image":{"id":"image-eb57cc602d","height":"720","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--f4bf9341-8d90-4e74-b760-051ee48a1c9d/32-snowflake.png?quality=85&preferwebp=true","lazyEnabled":true,"width":"1680",":type":"snowflake-site/components/image"},"timeToRead":"6","publicationDate":"JUN 30, 2026","tag":{"tagText":"IA et ML","tagColor":"#C54985"},"title":{"lines":["Claude Sonnet 5 d’Anthropic disponible sur Snowflake Cortex AI"],"type":"heading2",":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/blog/blog-hero"}},":itemsOrder":["blog_hero"]},"responsivegrid_content":{"columnCount":12,"columnClassNames":{"blog_text_495809515":"aem-GridColumn aem-GridColumn--default--12","image":"aem-GridColumn aem-GridColumn--default--12","code_snippet":"aem-GridColumn aem-GridColumn--default--12","blog_text_1353022380":"aem-GridColumn aem-GridColumn--default--12","wistia_video":"aem-GridColumn aem-GridColumn--default--12","blog_text":"aem-GridColumn aem-GridColumn--default--12","blog_text_997730204":"aem-GridColumn aem-GridColumn--default--12","blog_text_1311110659":"aem-GridColumn aem-GridColumn--default--12","image_1583034898":"aem-GridColumn aem-GridColumn--default--12","blog_text_433587581":"aem-GridColumn aem-GridColumn--default--12","code_snippet_2048454964":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","appliedCssClassNames":"snowflake-layout-container-inner-padding-small",":items":{"blog_text":{"id":"blog-text-6cefeaf2cd","text":"\u003Cp\u003ENous sommes ravis d’annoncer la disponibilité de Claude Sonnet 5, le tout dernier modèle d’Anthropic, sur \u003Ca href=\"https://www.snowflake.com/fr/product/features/cortex/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ESnowflake Cortex AI\u003C/a\u003E. En tant que partenaire de lancement d’Anthropic, nous assurons la disponibilité de Claude Sonnet 5 en private preview dès le jour de son lancement. Il est disponible dans le périmètre sécurisé de Snowflake pour une utilisation avec \u003Ca href=\"https://www.snowflake.com/fr/product/features/cortex-code/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ESnowflake CoCo\u003C/a\u003E, \u003Ca href=\"https://docs.snowflake.com/fr/user-guide/snowflake-cortex/cortex-agents\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ECortex Agents\u003C/a\u003E, \u003Ca href=\"https://docs.snowflake.com/fr/user-guide/snowflake-cortex/llm-functions\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ECortex AI Functions\u003C/a\u003E, \u003Ca href=\"https://docs.snowflake.com/fr/user-guide/snowflake-cortex/cortex-llm-rest-api\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ECortex Inference\u003C/a\u003E et \u003Ca href=\"https://ai.snowflake.com/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ESnowflake CoWork\u003C/a\u003E.  \u003C/p\u003E\n\u003Ch2\u003EClaude Sonnet 5 \u003C/h2\u003E\n\u003Cp\u003EClaude Sonnet 5 est un modèle rapide, doté de puissantes capacités généralistes. Lors des tests, il obtient de bons résultats en codage, débogage, analyse approfondie et brainstorming. Sur de nombreuses tâches agentiques, il se rapproche de la qualité d’Opus, surtout avec des niveaux d’effort plus élevés. Il est plus agentique que Sonnet 4.6 ; il appelle davantage d’outils et exécute des boucles d’autovérification pour mener les tâches à bien. Le modèle exploite mieux la mémoire persistante, ce qui améliore l’exécution sur de longs horizons dans des environnements comme Snowflake CoCo.\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"image":{"id":"image-aa8c6be1fb","height":"888","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--dbeae2a9-f0b8-411c-8a48-60a4f3833a5d/anthropic.6.30.png?quality=85&preferwebp=true","alt":"anthropic 6","lazyEnabled":true,"width":"1882",":type":"snowflake-site/components/image"},"blog_text_1353022380":{"id":"blog-text-b4ee4cf579","text":"\u003Cp\u003E\u003Csub\u003ESource : \u003Ca href=\"https://www.anthropic.com/news/claude-fable-5-mythos-5\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003EAnthropic\u003C/a\u003E, 30 juin 2026\u003C/sub\u003E\u003C/p\u003E\n\u003Ch2\u003ECe que vous pouvez faire avec Claude Sonnet 5 sur Snowflake\u003C/h2\u003E\n\u003Cp\u003ESonnet 5 rejoint les principaux modèles d’IA dans Snowflake Cortex AI, pour répondre à un large éventail de cas d’usage en entreprise, le tout dans le périmètre de sécurité et de gouvernance de Snowflake. Avec Sonnet 5, les clients en preview peuvent :\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EAccélérer le développement avec \u003Ca href=\"https://www.snowflake.com/fr/product/features/cortex-code/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ESnowflake CoCo\u003C/a\u003E :\u003C/b\u003E l’agent de codage IA de Snowflake comprend vos données d’entreprise, votre gouvernance et vos workflows. Les équipes passent ainsi rapidement de l’idée à la production, sans rompre la confiance ni compromettre la mise à l’échelle. Avec Sonnet 5, CoCo offre un raisonnement plus efficace, une meilleure génération de code et la prise en charge de tâches agentiques complexes et longues, avec une capacité agentique proche d’Opus pour une fraction du coût. Il intègre une assistance contextualisée pour Snowflake directement dans CoCo Desktop, l’interface Snowsight, la CLI et les outils de développement locaux. Pour les data engineers, analystes et builders, il transforme le langage naturel en pipelines, analyses et agents d’IA prêts pour la production, réduisant des semaines de travaux d’intégration à quelques minutes, tout en restant gouverné, interopérable et adapté aux exigences de l’entreprise. Vous pouvez essayer Claude Sonnet 5 en preview avec la commande /model dans la CLI :  \u003C/p\u003E\n\u003Cp\u003E \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-46992fc8d1","title":{"id":"title","type":"heading1","lines":["Claude Sonnet 5 d’Anthropic disponible sur Snowflake Cortex AI"],":type":"snowflake-site/components/title"},"wistiaVideoId":"s5c63n7qy1","showVideoLength":true,"showRewatchButton":true,":type":"snowflake-site/components/wistia-video"},"blog_text_997730204":{"id":"blog-text-de9a91d64a","text":"\u003Cul\u003E\n\u003Cli\u003E\u003Cb\u003ECréer des agents personnels de travail avancés : \u003C/b\u003E\u003Ca href=\"https://www.snowflake.com/fr/blog/snowflake-intelligence-enterprise-ai/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ESnowflake CoWork\u003C/a\u003E est l’agent personnel de travail de chaque professionnel du savoir. Dès le premier jour, il comprend vos données et votre activité, répond aux questions les plus complexes en s'appuyant sur des sources citées, puis exécute les tâches à la demande, selon une planification définie ou au sein des outils que vos équipes utilisent déjà. Chaque professionnel du savoir, quel que soit son niveau d’expertise technique, peut raisonner en profondeur sur les données d’entreprise structurées et non structurées, automatiser les tâches courantes et accélérer le passage des idées aux décisions, puis à l’action. Claude Sonnet 5 sur Snowflake Cortex AI étend cette base avec un raisonnement amélioré, une génération de code plus puissante et la prise en charge de workflows agentiques plus sophistiqués, en approchant la capacité d’Opus pour une fraction du coût. Les équipes peuvent ainsi créer des agents capables de résoudre des problèmes business multi‑étapes de plus en plus complexes, de façon économique et avec une mise à l’échelle maîtrisée. Avec Deep Research pour des investigations citées et multi‑sources, des automatisations proactives qui livrent synthèses et alertes avant même qu’on les demande, des compétences utilisateur réutilisables qui transforment le travail quotidien en processus reproductibles à l’échelle de l’organisation, et des connecteurs MCP qui permettent d’agir dans Gmail, Jira, Slack et Salesforce, le tout dans le périmètre de gouvernance de Snowflake, CoWork aide les organisations à convertir l’IA en résultats business mesurables.\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E \u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"image_1583034898":{"id":"image-7e0e6b6d14","height":"978","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--36d2ae23-1418-407f-bb66-5784ed525593/snowflake-cowork-good-afternoon.png?quality=85&preferwebp=true","alt":"cowork","lazyEnabled":true,"width":"1548",":type":"snowflake-site/components/image"},"blog_text_495809515":{"id":"blog-text-53cbcd2af6","text":"\u003Cp\u003E\u003Csub\u003ESnowflake CoWork : L’agent personnel de travail de tout professionnel du savoir.\u003C/sub\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EAnalysez les données structurées et non structurées avec une précision inégalée :\u003C/b\u003E Cortex AI Functions simplifie la création de pipelines d’IA évolutifs sur des données d’entreprise multimodales avec SQL. Cortex AI Functions offre un traitement hautes performances à un coût inférieur à celui des pipelines d’IA orchestrés manuellement. Vous obtenez ainsi des insights fiables dans toute l’entreprise, tout en conservant les capacités de sécurité et de gouvernance qui font la réputation de Snowflake. Sonnet 5 repousse les limites des tâches de vision, notamment l’extraction de données précises à partir de graphiques, de tableaux et de figures scientifiques. Sa précision d’analyse documentaire atteint la qualité d’Opus, avec une grande exactitude sur de vrais documents financiers et médicaux, en particulier lorsque l’effort est plus élevé sur des contenus plus denses. Cela renforce l’analyse documentaire et les pipelines multimodaux dans Cortex AI. Par exemple, avec la fonction AI_COMPLETE, les analystes peuvent appliquer des instructions en langage naturel directement dans leurs requêtes SQL à l’aide de modèles comme Sonnet 5.\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"code_snippet":{"id":"code-snippet-47a9c0acd1","codeSnippet":"SELECT AI_COMPLETE(\r\n  'claude-sonnet-5',\r\n  PROMPT('Review the following financial filing and summarize key revenue trends, margin changes, and any notable risk factors mentioned: {0}', my_table.filing)) FROM my_table\r\n","multiLine":true,":type":"snowflake-site/components/code-snippet"},"blog_text_1311110659":{"id":"blog-text-6753b9a7df","text":"\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ECréer des applications d’IA au plus près de vos données sécurisées : \u003C/b\u003Eutilisez Cortex Inference pour créer des applications d’entreprise agentiques entièrement dans le périmètre de sécurité de Snowflake. Les développeurs peuvent tirer parti de nouvelles capacités comme les niveaux d’effort ajustables de Sonnet 5, qui permettent au modèle d’arbitrer entre profondeur du raisonnement et latence selon la tâche : effort plus élevé pour les problèmes complexes, plus faible pour les appels rapides et courants. Sonnet 5 valide également son propre travail grâce à des boucles d’autovérification intégrées, pour un fonctionnement plus autonome, avec davantage de constance et moins de supervision.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ELes développeurs peuvent démarrer rapidement avec le SDK Anthropic en le faisant pointer vers leur endpoint Snowflake Cortex Inference, pour une intégration fluide avec les outils Anthropic qu’ils connaissent déjà.\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"code_snippet_2048454964":{"id":"code-snippet-a2b822acec","codeSnippet":"import httpx\r\nimport anthropic\r\n\r\ntoken = \u003Csnowflake_access_token\u003E\r\n\r\nhttp_client = httpx.Client(\r\n   headers={\"Authorization\": f\"Bearer {token}\"},\r\n   verify=False,  # Disable SSL verification for internal endpoints\r\n)\r\n\r\nclient = anthropic.Anthropic(\r\n   api_key=\"not-used\",  # Required but overridden by Bearer auth\r\n   base_url=\"https://\u003Csnowflake_account_url\u003E.snowflakecomputing.com/api/v2/cortex\",\r\n   http_client=http_client,\r\n   default_headers={\"Authorization\": f\"Bearer {token}\"},\r\n)\r\n\r\nresponse = client.messages.create(                                                                                  \r\n   model=\"claude-sonnet-5\",                                                                               \r\n   max_tokens=1024,                                                                                                \r\n                                                                                                      \r\n   messages=[                                                                                                      \r\n       {                                                                                                           \r\n           \"role\": \"user\",                                                                                         \r\n           \"content\": \"Pull the latest usage and billing details for customer ACME-4921 and flag anything unusual.\",\r\n       }                                                                                                           \r\n   ],                                                                                                              \r\n)\r\nprint(response.content[0].text)\r\n","multiLine":true,":type":"snowflake-site/components/code-snippet"},"blog_text_433587581":{"id":"blog-text-a5aba58e7e","text":"\u003Ch2\u003EConception pensée pour l’entreprise\u003C/h2\u003E\n\u003Cp\u003ELes entreprises veulent mettre rapidement l’IA agentique en production. Avec Claude Sonnet 5 d’Anthropic, les agents peuvent prendre en charge des tâches complexes et longues avec plus de constance et moins de supervision, pour faire avancer le vrai travail et le faire évoluer à grande échelle. \u003C/p\u003E\n\u003Cp\u003EAvec plusieurs points d’entrée, de \u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://docs.snowflake.com/fr/user-guide/cortex-code/cortex-code\"\u003ECoCo\u003C/a\u003E à \u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://ai.snowflake.com/\"\u003ESnowflake CoWork\u003C/a\u003E, \u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://docs.snowflake.com/fr/user-guide/snowflake-cortex/aisql\"\u003ECortex AI Functions\u003C/a\u003E et \u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://docs.snowflake.com/fr/user-guide/snowflake-cortex/cortex-rest-api\"\u003ECortex Inference\u003C/a\u003E, les clients peuvent adopter facilement cette capacité et accélérer leur trajectoire vers une IA agentique à fort impact, prête pour la production et conçue pour la mise à l’échelle.\u003C/p\u003E\n\u003Ch2\u003EEn savoir plus\u003C/h2\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003ELisez notre annonce de lancement du Snowflake Summit 2026 pour \u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://www.snowflake.com/en/news/press-releases/snowflake-cowork-powers-the-agentic-enterprise-as-the-personal-agent-for-knowledge-workers-to-work-smarter/\"\u003ESnowflake CoWork\u003C/a\u003E\u003Ca href=\"https://www.snowflake.com/en/news/press-releases/snowflake-coco-redefines-enterprise-ai-development-as-the-coding-agent-built-for-faster-easier-and-more-powerful-innovation-anywhere/\"\u003E (en anglais),\u003C/a\u003E et découvrez-en davantage \u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://www.snowflake.com/fr/product/snowflake-cowork/\"\u003Eici\u003C/a\u003E.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003EConsultez notre annonce du Snowflake Summit 2026 consacrée à \u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://www.snowflake.com/en/news/press-releases/snowflake-coco-redefines-enterprise-ai-development-as-the-coding-agent-built-for-faster-easier-and-more-powerful-innovation-anywhere/\"\u003ESnowflake CoCo\u003C/a\u003E, et découvrez-en plus \u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://www.snowflake.com/en/product/features/cortex-code/\"\u003Eici\u003C/a\u003E.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ETirez des insights de vos données structurées et non structurées avec Snowflake CoWork grâce à ce \u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://www.snowflake.com/en/developers/guides/getting-started-with-snowflake-intelligence/\"\u003Eguide de démarrage rapide\u003C/a\u003E (en anglais).\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E\u003Csub\u003E\u003Ci\u003EDéclarations prévisionnelles\u003C/i\u003E\u003C/sub\u003E\u003C/p\u003E\n\u003Cp\u003E\u003Csub\u003E\u003Ci\u003ECet article contient des déclarations prévisionnelles, notamment de futures offres de produits. Il ne constitue en aucun cas un engagement à fournir des offres de produits. Les offres et résultats réels peuvent varier et faire l’objet de risques connus et inconnus, ainsi que d’incertitudes. Découvrez notre dernier 10‑Q pour en savoir plus.\u003C/i\u003E\u003C/sub\u003E\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"}},":itemsOrder":["blog_text","image","blog_text_1353022380","wistia_video","blog_text_997730204","image_1583034898","blog_text_495809515","code_snippet","blog_text_1311110659","code_snippet_2048454964","blog_text_433587581"],":type":"wcm/foundation/components/responsivegrid"},"responsivegrid_premium_content_banner":{"columnCount":12,"columnClassNames":{},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","appliedCssClassNames":"snowflake-responsive-component-top-padding-medium",":items":{},":itemsOrder":[],":type":"wcm/foundation/components/responsivegrid"},"container_author_chip":{"layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"author_chip":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 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Snowflake"},{"authorImage":{"id":"image-ab7791a23f","height":"450","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--7342b8b6-0177-4562-b6d8-7798a4e68bf2/hyungtaekim.png?quality=85&preferwebp=true","lazyEnabled":true,"width":"450",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-7a810b567a","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/hyungtae-kim/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Hyungtae Kim"},"authorTitle":"Principal Software Engineer"},{"authorImage":{"id":"image-7e5b281848","height":"512","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--15ebdd56-bea2-423c-be95-18693e9ac4ec/danmeihead.png?quality=85&preferwebp=true","alt":"Danmei Xu","lazyEnabled":true,"width":"512",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-61a2833284","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/danmei-xu/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Danmei Xu"},"authorTitle":"Software Engineer, ML"},{"authorImage":{"id":"image-ff8832aaf3","height":"508","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--a394c719-c932-4161-ac03-00d4b946e03d/sumit-kumar.jpg?quality=85&preferwebp=true","lazyEnabled":true,"width":"508",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-b380844232","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/sumit-kumar/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Sumit Kumar"},"authorTitle":"Staff Product Manager at 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