{"id":5509,"date":"2026-03-02T14:31:32","date_gmt":"2026-03-02T14:31:32","guid":{"rendered":"https:\/\/hamilton.global\/?p=5509"},"modified":"2026-03-03T08:36:51","modified_gmt":"2026-03-03T08:36:51","slug":"synthetic_data-in-research","status":"publish","type":"post","link":"https:\/\/hamilton.global\/fr\/synthetic_data-in-research\/","title":{"rendered":"Donn\u00e9es synth\u00e9tiques et recherche augment\u00e9e par l&#039;IA"},"content":{"rendered":"<h2><strong>Des donn\u00e9es synth\u00e9tiques, ancr\u00e9es dans des preuves humaines.<\/strong><\/h2>\n<p>Nous acc\u00e9l\u00e9rons la recherche gr\u00e2ce \u00e0 l&#039;IA pour g\u00e9n\u00e9rer des ensembles de donn\u00e9es synth\u00e9tiques qui reproduisent les tendances r\u00e9elles du march\u00e9, avec un objectif clair\u00a0: parvenir plus rapidement \u00e0 des conclusions exploitables et r\u00e9server le travail de terrain humain aux situations qui le n\u00e9cessitent r\u00e9ellement.<\/p>\n<h2><strong>Quels sont-ils?<\/strong><\/h2>\n<p>Les donn\u00e9es synth\u00e9tiques sont des informations g\u00e9n\u00e9r\u00e9es par des mod\u00e8les d&#039;IA qui reproduisent la structure statistique et les relations observ\u00e9es dans les donn\u00e9es de recherche r\u00e9elles (\u00e9chantillon humain), sans copier les enregistrements individuels.<\/p>\n<h2><strong>Comment proc\u00e9dons-nous ? <\/strong><\/h2>\n<p>Notre approche repose sur deux piliers\u00a0:<\/p>\n<ul>\n<li><strong>Mod\u00e8les probabilistes<\/strong> (\u00e9chantillonnage al\u00e9atoire et mod\u00e9lisation des d\u00e9pendances) pour pr\u00e9server les relations cl\u00e9s.<\/li>\n<li><strong>Mod\u00e8les d&#039;apprentissage profond<\/strong> (approche non supervis\u00e9e combinant des architectures de type GAN\/VAE) pour g\u00e9n\u00e9rer des ensembles de donn\u00e9es synth\u00e9tiques robustes.<\/li>\n<\/ul>\n<blockquote>\n<p style=\"text-align: center;\"><em><strong>Nous ne d\u00e9veloppons pas de bases de donn\u00e9es \u00ab \u00e0 partir de z\u00e9ro \u00bb. Notre approche n\u00e9cessite un jeu de donn\u00e9es r\u00e9el, g\u00e9n\u00e9r\u00e9 par des humains, comme point de d\u00e9part.<\/strong><\/em><\/p>\n<\/blockquote>\n<h2><strong>Comment configurer <\/strong><\/h2>\n<blockquote>\n<p style=\"text-align: center;\"><strong><em>CE DONT VOUS AVEZ BESOIN, EN QUANTIT\u00c9 EXACTE<\/em><\/strong><\/p>\n<\/blockquote>\n<p>Chaque projet est d\u00e9fini en trois \u00e9tapes\u00a0:<\/p>\n<ol>\n<li><strong>Base d&#039;entra\u00eenement \/ r\u00e9f\u00e9rence<\/strong>: des \u00e9tudes historiques ou des ensembles de donn\u00e9es de haute qualit\u00e9 sont disponibles.<\/li>\n<li><strong>D\u00e9finir le d\u00e9fi commercial<\/strong>: quelle d\u00e9cision sera prise (et quelles variables devront la soutenir).<\/li>\n<li><strong>R\u00e8gles de contr\u00f4le (garde-fous)<\/strong>: quelles relations doivent \u00eatre pr\u00e9serv\u00e9es (segments, usages, attitudes\u2026) et qu\u2019est-ce qui est exclu pour \u00e9viter les interf\u00e9rences ou les sensibilit\u00e9s ?<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2><strong>Qualit\u00e9 et cr\u00e9dibilit\u00e9 : <\/strong><\/h2>\n<p>Pour garantir que le r\u00e9sultat soit <strong>fiable et utilisable<\/strong>Chaque mod\u00e8le inclut un package de validation comprenant\u00a0:<\/p>\n<ul>\n<li><strong>Distributions et comportement univari\u00e9<\/strong> (comportement de chaque variable).<\/li>\n<li><strong>Distributions et analyse bivari\u00e9e<\/strong> (relations conditionnelles entre les variables).<\/li>\n<li><strong>Distributions et analyses multivari\u00e9es <\/strong>(Homg\u00e9n\u00e9it\u00e9s, ADM, ACP comparative, stabilit\u00e9 du clustering (ARI), RMSE, test adverse)<\/li>\n<li><strong>Corr\u00e9lations<\/strong> (structure de relation matricielle).<\/li>\n<li><strong>Distances<\/strong> (proximit\u00e9 synth\u00e9tique vs. originale avec \u00e9cart moyen maximal (MMD) et distance de Jensen-Shannon).<\/li>\n<\/ul>\n<p><img decoding=\"async\" class=\"wp-image-5517 aligncenter\" src=\"https:\/\/hamilton.global\/wp-content\/uploads\/2026\/03\/Accuracy-Data.png\" alt=\"accuracy data\" width=\"615\" height=\"334\" srcset=\"https:\/\/hamilton.global\/wp-content\/uploads\/2026\/03\/Accuracy-Data.png 615w, https:\/\/hamilton.global\/wp-content\/uploads\/2026\/03\/Accuracy-Data-480x261.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 615px, 100vw\" \/><\/p>\n<p>La pr\u00e9cision des donn\u00e9es synth\u00e9tiques ne s&#039;\u00e9value pas par une simple comparaison de moyennes. Elle est analys\u00e9e \u00e0 trois niveaux cl\u00e9s\u00a0: la pr\u00e9servation de la structure relationnelle, la stabilit\u00e9 des segments et la robustesse pr\u00e9dictive lors de validations crois\u00e9es. Lorsqu&#039;un mod\u00e8le entra\u00een\u00e9 sur des donn\u00e9es synth\u00e9tiques est capable de pr\u00e9dire de mani\u00e8re fiable des donn\u00e9es r\u00e9elles, on parle d&#039;\u00e9quivalence op\u00e9rationnelle.<\/p>\n<h2><strong>O\u00f9 <em>OUAIS<\/em> ajoute de la valeur <\/strong><\/h2>\n<ul>\n<li><strong>Innovation et s\u00e9lection des concepts\/all\u00e9gations<\/strong>: privil\u00e9gier les id\u00e9es avant une validation humaine compl\u00e8te.<\/li>\n<li><strong>Couverture de cibles difficiles \/ petits \u00e9chantillons<\/strong>: \u00ab combler les lacunes \u00bb lorsque l\u2019\u00e9chantillon humain est indisponible ou co\u00fbteux.<\/li>\n<li><strong>Vitesse et agilit\u00e9<\/strong>: g\u00e9n\u00e9rer des sc\u00e9narios et des lectures pr\u00e9liminaires en moins de temps.<\/li>\n<li><strong>Simulation<\/strong>: explorer des situations rares ou peu fr\u00e9quentes, difficiles \u00e0 saisir dans la r\u00e9alit\u00e9.<\/li>\n<\/ul>\n<h2><strong>Quand <em>NON<\/em> Nous le recommandons<\/strong><\/h2>\n<ul>\n<li>Quand vous avez besoin d&#039;informations <strong>cool<\/strong> et de premi\u00e8re main (crise, changements brusques du march\u00e9).<\/li>\n<li>Quand il n&#039;y a pas <strong>ligne de base<\/strong> solide pour l&#039;entra\u00eenement\/l&#039;ancrage du mod\u00e8le.<\/li>\n<li>Lorsque la d\u00e9cision exige des preuves humaines pour des raisons <strong>r\u00e9glementaire\/juridique<\/strong>.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<blockquote>\n<p style=\"text-align: center;\">Dans ces cas, il peut \u00eatre utilis\u00e9 comme <strong>pr\u00e9-analyse<\/strong>mais pas en remplacement du travail de terrain humain.<\/p>\n<\/blockquote>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><a href='https:\/\/hamilton.global\/fr\/contactanos\/' class='small-button smallblue' target=\"_blank\">DEMANDER PLUS D&#039;INFORMATIONS<\/a><\/p>\n<span class=\"et_bloom_bottom_trigger\"><\/span>","protected":false},"excerpt":{"rendered":"<p>Datos sint\u00e9ticos, anclados en evidencia humana. Aceleramos la investigaci\u00f3n con IA para generar datasets sint\u00e9ticos que reproducen los patrones reales del mercado, con un objetivo claro: llegar antes a conclusiones accionables y reservar el fieldwork humano para lo que realmente lo requiere. Qu\u00e9 son Los datos sint\u00e9ticos son informaci\u00f3n generada mediante modelos de IA que [&hellip;]<\/p>","protected":false},"author":4,"featured_media":5515,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"off","_et_pb_old_content":"","_et_gb_content_width":""},"categories":[204,201],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Datos Sint\u00e9ticos y Research Aumentado con IA<\/title>\n<meta name=\"description\" content=\"La investigaci\u00f3n con IA para generar datasets sint\u00e9ticos que reproducen los patrones reales del mercado, con un objetivo claro: llegar antes a conclusiones accionables y reservar el fieldwork humano para lo que realmente lo requiere.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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