{"id":30220,"date":"2025-09-02T13:56:16","date_gmt":"2025-09-02T13:56:16","guid":{"rendered":"https:\/\/www.tenthrevolution.com\/?p=30220"},"modified":"2025-10-08T10:26:12","modified_gmt":"2025-10-08T10:26:12","slug":"de-los-pilotos-a-la-produccion-genais-2025-punto-de-inflexion","status":"publish","type":"post","link":"https:\/\/stage.tenthrevolution.com\/es\/data-ai\/from-pilots-to-production-genais-2025-turning-point\/","title":{"rendered":"De los pilotos a la producci\u00f3n: El punto de inflexi\u00f3n de GenAI en 2025"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"30220\" class=\"elementor elementor-30220\" data-elementor-settings=\"{&quot;ha_cmc_init_switcher&quot;:&quot;no&quot;}\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-12ebe0e e-flex e-con-boxed e-con e-parent\" data-id=\"12ebe0e\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9ceedc2 elementor-widget elementor-widget-text-editor\" data-id=\"9ceedc2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>Durante gran parte de los dos \u00faltimos a\u00f1os, la IA generativa ha vivido en fase piloto.\u00a0<\/b><\/p><p><span style=\"font-weight: 400;\">Los equipos probaron chatbots orientados al cliente, experimentaron con herramientas de resumen y construyeron prototipos para mostrar a los consejos lo que pod\u00eda hacer la tecnolog\u00eda. Estos esfuerzos despertaron entusiasmo, pero rara vez se ampliaron. Los presupuestos se consum\u00edan, las pruebas de concepto arrojaban resultados desiguales y las dudas sobre el cumplimiento y la fiabilidad frenaban la inversi\u00f3n.<\/span><\/p><p><span style=\"font-weight: 400;\">Esa din\u00e1mica est\u00e1 cambiando. En 2025, la IA generativa est\u00e1 pasando de la experimentaci\u00f3n a la ejecuci\u00f3n. Lo que antes parec\u00eda una serie de proyectos piloto desconectados se est\u00e1 convirtiendo en una capacidad empresarial, respaldada por nuevas disciplinas y arquitecturas.<\/span><\/p><p>Construir una GenAI preparada para la empresa significa encontrar especialistas que comprendan la gobernanza, la observabilidad y la escala. <strong>Tenth Revolution Group puede ponerle en contacto con talentos tecnol\u00f3gicos de confianza<\/strong> que lo hacen posible.<\/p><h2><b>Por qu\u00e9 por fin es posible escalar<\/b><\/h2><p><span style=\"font-weight: 400;\">Tres avances est\u00e1n permitiendo este cambio.<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>LLMOps<\/b><span style=\"font-weight: 400;\"> aporta la disciplina operativa necesaria para ejecutar grandes modelos a escala. El control de versiones de las instrucciones, la supervisi\u00f3n de los \u00edndices de alucinaci\u00f3n y las canalizaciones de despliegue automatizadas garantizan que la IA generativa se gobierne y sea predecible.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>GAR 2.0<\/b><span style=\"font-weight: 400;\"> mejora las t\u00e9cnicas de recuperaci\u00f3n, lo que permite a los modelos fundamentar las salidas en el conocimiento de la empresa con mayor precisi\u00f3n. La fragmentaci\u00f3n jer\u00e1rquica, la b\u00fasqueda h\u00edbrida y la retroalimentaci\u00f3n continua reducen el ruido y mejoran la fiabilidad.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Flujos de trabajo ag\u00e9nticos<\/b><span style=\"font-weight: 400;\"> hacer que la IA pase de la percepci\u00f3n a la acci\u00f3n. En lugar de responder pasivamente, los modelos pueden activar procesos, interactuar con API y completar tareas de varios pasos en nombre de los usuarios.<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">Juntas, estas capacidades transforman la IA de un experimento de laboratorio en algo en lo que las empresas pueden confiar en la producci\u00f3n.<\/span><\/p><h2><b>Lecciones de los pioneros<\/b><\/h2><p><span style=\"font-weight: 400;\">Algunas industrias ya est\u00e1n mostrando c\u00f3mo es la IA generativa a escala en la pr\u00e1ctica.<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Operaciones con clientes.<\/b><span style=\"font-weight: 400;\"> Las organizaciones de servicios est\u00e1n implantando sistemas de agentes que resuelven las consultas de principio a fin, desde el reembolso hasta la resoluci\u00f3n de problemas, reduciendo dr\u00e1sticamente los tiempos de resoluci\u00f3n.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Servicios financieros.<\/b><span style=\"font-weight: 400;\"> RAG 2.0 est\u00e1 impulsando las consultas de cumplimiento y las herramientas de investigaci\u00f3n que permiten a los analistas navegar por normativas complejas y presentaciones financieras con confianza.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Recursos humanos.<\/b><span style=\"font-weight: 400;\"> Los agentes de IA ayudan a seleccionar las solicitudes, cotejar las cualificaciones y programar las entrevistas, liberando a los responsables de contrataci\u00f3n para que se centren en la captaci\u00f3n de candidatos.<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">Estos ejemplos ponen de relieve un hilo com\u00fan: la escala requiere algo m\u00e1s que la capacidad del modelo. Depende de la gobernanza, la infraestructura y la calidad de los datos.<\/span><\/p><p>Si 2025 es el a\u00f1o en que planea pasar de los pilotos a la producci\u00f3n, <strong>Tenth Revolution Group puede proporcionar el talento en IA y datos<\/strong> necesita hacerlo de forma segura, eficaz y a escala<\/p><h2><b>La perspectiva de los ejecutivos<\/b><\/h2><p><span style=\"font-weight: 400;\">Para los l\u00edderes empresariales, la llegada de la GenAI lista para la empresa representa tanto una oportunidad como una responsabilidad. La oportunidad reside en una prestaci\u00f3n de servicios m\u00e1s r\u00e1pida, una toma de decisiones mejorada y nuevas experiencias para los clientes. La responsabilidad es garantizar que estos sistemas sean seguros, conformes y explicables.<\/span><\/p><p><span style=\"font-weight: 400;\">Los ejecutivos deben esperar que los reguladores y los inversores hagan preguntas m\u00e1s dif\u00edciles en 2025. \u00bfPuede rastrear c\u00f3mo tom\u00f3 una decisi\u00f3n su IA? \u00bfHa comprobado la existencia de sesgos? \u00bfDispone de barandillas para evitar resultados inadecuados? Las organizaciones que no puedan responder tendr\u00e1n dificultades para ganarse la confianza.<\/span><\/p><h2><b>El coste de la espera<\/b><\/h2><p><span style=\"font-weight: 400;\">El pr\u00f3ximo a\u00f1o es un punto de inflexi\u00f3n. Las empresas que industrialicen ahora sus pr\u00e1cticas de GenAI obtendr\u00e1n ganancias de eficiencia y ventajas en el mercado. Las que se retrasen corren el riesgo de verse superadas por competidores que integren profundamente la IA en sus operaciones. Lo que era opcional en la fase piloto es ahora estrat\u00e9gico.<\/span><\/p><p><span style=\"font-weight: 400;\">La ampliaci\u00f3n responsable no consiste en ir r\u00e1pido porque s\u00ed. Se trata de sentar las bases -LLMOps, sistemas de recuperaci\u00f3n, gobernanza y flujos de trabajo ag\u00e9nticos- que permitan mantener la innovaci\u00f3n.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2c3d331 e-flex e-con-boxed e-con e-parent\" data-id=\"2c3d331\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6759831 elementor-widget elementor-widget-heading\" data-id=\"6759831\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>\u00a0\u00bfBusca especialistas en IA que puedan hacer operativa la GenAI?<\/b><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-754871f elementor-widget elementor-widget-text-editor\" data-id=\"754871f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Le pondremos en contacto con talentos tecnol\u00f3gicos de confianza que puedan llevar sus proyectos del piloto a la producci\u00f3n de forma segura, eficiente y a escala.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b3cd973 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"b3cd973\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.tenthrevolution.com\/services\/finding-talent\/\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Encuentre su pr\u00f3xima gran contrataci\u00f3n<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3d2d7e6 e-grid e-con-boxed e-con e-parent\" data-id=\"3d2d7e6\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>2025 ser\u00e1 el a\u00f1o en el que se ampl\u00ede la GenAI. Descubra c\u00f3mo LLMOps, RAG 2.0 y los flujos de trabajo ag\u00e9nticos est\u00e1n haciendo que la IA pase de pilotos desconectados a la producci\u00f3n empresarial.<\/p>","protected":false},"author":2,"featured_media":30680,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[74],"tags":[],"class_list":["post-30220","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-ai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>From pilots to production: GenAI\u2019s 2025 turning point<\/title>\n<meta name=\"description\" content=\"Why 2025 marks the year GenAI scales. Learn how LLMOps, RAG 2.0, and agentic workflows are moving AI from disconnected pilots into enterprise production.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"From pilots to production: GenAI\u2019s 2025 turning point\" \/>\n<meta property=\"og:description\" content=\"Why 2025 marks the year GenAI scales. 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