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aem-Grid--default--12","appliedCssClassNames":"snowflake-layout-container-inner-padding-small",":items":{"blog_text":{"id":"blog-text-ff89f39652","text":"\u003Cp\u003ELas empresas ya han dejado atrás la cuestión de si los agentes de inteligencia artificial (IA) pueden realizar un trabajo útil. Ahora, la pregunta más apremiante es si los equipos pueden respaldar lo que dicen y hacen esos agentes. ¿Responde el agente a una pregunta basándose en la definición de ingresos que el departamento financiero ha aprobado realmente? ¿Puede el equipo de seguridad detectar una llamada a una herramienta que entrañe riesgos antes de que se ejecute? ¿Y puede un límite de presupuesto detener a un agente descontrolado antes de que aparezca en la previsión trimestral? \u003C/p\u003E\n\u003Cp\u003ESi la gobernanza y el contexto no se incorporan a los agentes desde el principio, la posibilidad de obtener respuestas contradictorias y de que surjan agentes fuera de control aumenta con cada nuevo agente, por no hablar del riesgo de la IA en la sombra y del gasto descontrolado en IA. \u003C/p\u003E\n\u003Cp\u003EHoy, en \u003Ca href=\"https://www.snowflake.com/en/expedition/\" target=\"_blank\"\u003EExpedition 2026\u003C/a\u003E, Snowflake anuncia capacidades y mejoras que infunden confianza en cada capa de la plataforma al:\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003ECrear una visión compartida y gobernada de la empresa\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003EAmpliar el plano de control de Snowflake a cada acción y conexión de los agentes de IA, así como a cada dólar gastado\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ESustentar estas capacidades en un fundamento de datos abierto e interoperable por diseño\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-fe0efa597a","propertiesId":"crear-una-vision-compartida-y-gobernada-de-la-empresa","type":"heading2","lines":["Crear una visión compartida y gobernada de la empresa"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_275396429":{"id":"blog-text-10f2af51bd","text":"\u003Cp\u003EUn panel de control muestra una cifra de ingresos netos, un analista ofrece otra y un agente de IA devuelve una tercera. Cuando cada equipo calcula los “ingresos netos” de una forma distinta y no hay constancia de qué versión es la oficial, incluso un agente perfectamente gobernado puede devolver una respuesta con la que nadie esté de acuerdo.\u003C/p\u003E\n\u003Cp\u003E\u003Ca target=\"_blank\" href=\"http://www.snowflake.com/es/blog/business-ontology-context\"\u003E\u003Cb\u003EBusiness Ontology\u003C/b\u003E\u003C/a\u003E (próximamente en vista previa pública) es la incorporación más reciente a \u003Ca target=\"_blank\" href=\"https://www.snowflake.com/en/product/features/horizon-context/\"\u003ESnowflake Horizon Context\u003C/a\u003E. Proporciona a las organizaciones un único espacio gobernado en el que registrar qué significan sus principales conceptos empresariales, con independencia de cualquier estructura de datos concreta. Business Ontology también forma parte de un enfoque unificado de la gobernanza del contexto: \u003Ca target=\"_blank\" href=\"https://www.snowflake.com/es/blog/enterprise-ai-agents-grounded-context/\"\u003E\u003Cb\u003ESnowflake Cortex Sense\u003C/b\u003E\u003C/a\u003E (próximamente en vista previa pública) encuentra contexto en tus datos, Business Ontology lo convierte en una fuente autorizada y las \u003Cb\u003E\u003Ca target=\"_blank\" href=\"https://docs.snowflake.com/en/user-guide/views-semantic/overview\"\u003Evistas semánticas de Snowflake\u003C/a\u003E\u003C/b\u003E lo transforman en métricas gobernadas y coherentes. \u003C/p\u003E\n\u003Cp\u003EGracias a Cortex Sense, puedes inicializar Business Ontology a partir del contexto que ya existe en Snowflake, lo que ofrece a los analistas un punto de partida para definir conceptos y las relaciones entre ellos en los distintos equipos. Una vez creados, los responsables de los conceptos podrán aprobar sus definiciones. A medida que evoluciona el contexto empresarial, Cortex Sense puede sugerir definiciones, pero la persona responsable controla el proceso para hacerlas oficiales. \u003C/p\u003E\n\u003Cp\u003ENo es necesario volver a crear desde cero un glosario para Business Ontology. Las organizaciones que guardan definiciones en un catálogo de terceros o en una hoja de cálculo pueden migrarlas mediante la \u003Cb\u003Eimportación guiada de glosarios\u003C/b\u003E en una sola sesión con \u003Ca href=\"https://www.snowflake.com/es/product/snowflake-coco/\"\u003ESnowflake CoCo\u003C/a\u003E, el agente de programación de Snowflake. La importación extrae dominios, términos candidatos, relaciones y activos de datos vinculados, y marca cada elemento como borrador para que su responsable lo apruebe mediante el \u003Cb\u003Eflujo de trabajo de aprobación del administrador de datos\u003C/b\u003E. \u003C/p\u003E\n\u003Cp\u003ECada definición aprobada se conecta con vistas semánticas, tablas y vistas de distintos equipos y dominios, de modo que los agentes de finanzas, ventas y asistencia trabajen con el mismo significado. Cuando una diferencia es intencionada, como sucede con una métrica que se define de forma distinta según la región, Business Ontology conserva cada versión como una definición aprobada y la etiqueta para indicar dónde y cuándo se aplica. Mientras tanto, las vistas semánticas ejecutan la lógica aprobada cuando se recibe una pregunta. \u003C/p\u003E\n\u003Cp\u003EAdemás de ayudar a mantener el contexto gobernado actualizado y coherente, Cortex Sense incorpora ese contexto a la propia interacción con el agente, para que los agentes resulten útiles desde el momento en que se ponen en marcha. Cuando Cortex Sense infiere algo que entra en conflicto con una definición aprobada, los agentes usan esta última y Cortex Sense aprende de la experiencia. \u003C/p\u003E\n\u003Cp\u003E\u003Cb\u003EHorizon Context \u003C/b\u003Ecrea un fundamento conectado para Business Ontology mediante la recopilación, el enriquecimiento y la activación del contexto en todo el patrimonio de datos. Sus conectores listos para usar recopilan esquemas, registros de consultas, definiciones de paneles de control y señales de uso de fuentes como Tableau, Power BI, dbt, SQL Server y PostgreSQL. Horizon Context enriquece esos metadatos con linaje integral, etiquetas, descripciones generadas por IA y señales de popularidad.\u003C/p\u003E\n\u003Cp\u003E\u003Ca href=\"http://www.snowflake.com/es/blog/business-ontology-context\" target=\"_blank\"\u003ELee nuestra entrada de blog sobre Business Ontology para obtener más información.\u003C/a\u003E\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_707169141":{"id":"blog-title-0e60ffde29","propertiesId":"gobernar-observar-y-optimizar-cada-accion-de-los-agentes","type":"heading2","lines":["Gobernar, observar y optimizar cada acción de los agentes"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_883134437":{"id":"blog-text-7acdb8a178","text":"\u003Cp\u003EA menudo, los equipos de todas las funciones de una empresa conectan agentes con modelos, servidores MCP y sistemas empresariales más rápido de lo que los equipos de TI y seguridad pueden supervisar. Esto obliga a los responsables a elegir entre optar por un escalado rápido y aceptar posibles riesgos de seguridad, cumplimiento y costes, o ralentizar las implementaciones hasta que las capacidades de seguridad y costes estén a la altura.\u003Cbr\u003E\n\u003Cbr\u003E\nCon Snowflake, los responsables no tienen que tomar esa decisión, ya que conecta datos gobernados, capacidades de seguridad de los agentes, controles de costes de IA y funciones de observabilidad de los agentes en un único sistema. \u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"image":{"id":"image-03baee6ffe","height":"856","src":"/adobe/dynamicmedia/deliver/dm-aid--bea8584e-2d15-4305-b779-9150658b2545/expedition-cortex-ai-gateway-solution.png?quality=85&preferwebp=true","lazyEnabled":true,"alt":"Diagram showing relationship between Cortex AI Gateway, cost governance, dynamic model routing, observability and cortex sandbox","isLcpImage":true,"width":"2000",":type":"snowflake-site/components/image"},"blog_title_2102433236":{"id":"blog-title-d9eb6a209a","propertiesId":"extender-el-plano-de-control-de-snowflake-a-todos-los-agentes-con-cortex-ai-gateway","type":"heading3","lines":["Extender el plano de control de Snowflake a todos los agentes con Cortex AI Gateway"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_948856335":{"id":"blog-text-caaff3dba1","text":"\u003Cp\u003E\u003Cb\u003E\u003Ca target=\"_blank\" href=\"https://www.snowflake.com/es/blog/cortex-ai-gateway-control-plane-enterprise-ai/\"\u003ECortex AI Gateway\u003C/a\u003E\u003C/b\u003E (vista previa pública) es un punto de entrada centralizado y gobernado que permite a los agentes acceder a los modelos y a los datos sobre los que actúan. Aplica un conjunto coherente de políticas a las conexiones de los agentes en las nubes, los marcos y los proveedores de IA compatibles. Como aplica la gobernanza allí donde residen los datos, cada agente hereda los controles de identidad y acceso existentes en tu organización, así como cualquier control nuevo que se aplique. Los equipos ya no tienen que crear y gestionar un segundo conjunto de credenciales para los agentes.\u003C/p\u003E\n\u003Cp\u003ELa gobernanza es el punto de partida, y los nuevos \u003Cb\u003ESnowflake Cortex Sandboxes\u003C/b\u003E (vista previa privada) demuestran el compromiso de Snowflake a la hora de facilitar acciones autónomas y gobernadas de los agentes. Cortex Sandboxes permiten controlar el código que ejecuta un agente: Proporcionan a los agentes un espacio seguro y privado para ejecutar código personalizado junto con los datos empresariales en Snowflake, manteniendo y respetando los permisos de la persona que ejecuta el agente. No es necesario mover datos fuera de Snowflake. Además, los espacios se inician en cuestión de segundos y se cierran automáticamente al finalizar, lo que evita tareas de mantenimiento adicionales y reduce el riesgo de exposiciones accidentales.\u003C/p\u003E\n\u003Cp\u003ESnowflake también sigue mejorando la gobernanza en todos los flujos de trabajo de IA. Con la gobernanza de MCP mediante \u003Cb\u003ECortex AI Gateway Tools\u003C/b\u003E (vista previa pública), las llamadas de los agentes a herramientas se autentican con la identidad del usuario final y se comprueban con respecto a las políticas antes de ejecutarse. El sistema puede bloquear llamadas a API no aprobadas, acciones no autorizadas e infracciones de cumplimiento antes de que un agente llegue a un sistema confidencial. \u003Cb\u003ECortex AI Guardrails\u003C/b\u003E (vista previa pública) añade a todos los agentes dirigidos a través de Cortex AI Gateway, incluidos los de terceros, protección en tiempo de ejecución para toda la cuenta frente a la inyección de prompts, intentos de jailbreak y ataques novedosos.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"wistia_video":{"id":"wistia-video-7f4b887d5e","title":{"id":"title","type":"heading1","lines":["Generar confianza en los agentes de IA con contexto empresarial gobernado y seguridad de la IA"],":type":"snowflake-site/components/title"},"wistiaVideoId":"1uveq6nh86","showVideoLength":true,"showRewatchButton":true,":type":"snowflake-site/components/wistia-video"},"blog_text_588005512":{"id":"blog-text-7b9cc816bc","text":"\u003Cp\u003EEl siguiente paso es la visibilidad, porque no puedes gestionar lo que no ves. \u003Cb\u003EObservability\u003C/b\u003E (disponibilidad general) captura todas las llamadas a modelos, invocaciones de herramientas, etapas de razonamiento y decisiones de las medidas de protección en tablas gobernadas dentro de la propia cuenta de Snowflake del cliente. Estas trazas se pueden consultar con SQL estándar y combinar con el resto de los datos de la empresa. \u003Cb\u003EAgent Trace Intelligence\u003C/b\u003E (vista previa privada) utiliza esa combinación para detectar agentes que malgastan dinero en bucles, herramientas que fallan repetidamente y el coste real de cada tarea completada.\u003C/p\u003E\n\u003Cp\u003EEl coste es la última pieza del conjunto. Las capacidades de \u003Cb\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/snowflake-cortex/governance-and-availability/ai-cost-management-and-governance\" target=\"_blank\"\u003Egobernanza de costes\u003C/a\u003E\u003C/b\u003E (disponibilidad general) atribuyen el gasto en IA a un equipo, departamento, agente o aplicación e imponen límites estrictos casi en tiempo real, lo que ayuda a los responsables a identificar y detener a los agentes descontrolados antes de que superen los presupuestos. \u003Cb\u003E\u003Ca href=\"https://www.snowflake.com/es/blog/dynamic-model-routing-open-models-cortex-ai/\" target=\"_blank\"\u003EEl enrutamiento dinámico de modelos\u003C/a\u003E\u003C/b\u003E (vista previa privada) asigna cada solicitud a un modelo aprobado por la organización en función del coste, la precisión y la latencia, para evitar que el trabajo rutinario se procese con los modelos más caros. En las \u003Ca href=\"https://www.snowflake.com/es/blog/dynamic-model-routing-open-models-cortex-ai/\" target=\"_blank\"\u003Epruebas internas\u003C/a\u003E, \u003Cb\u003Eel enrutamiento dinámico de modelos ofreció una eficiencia de tokens hasta tres veces mayor\u003C/b\u003E que una ruta basada exclusivamente en modelos de vanguardia, con la misma calidad. \u003C/p\u003E\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/es/blog/cortex-ai-gateway-control-plane-enterprise-ai/\" target=\"_blank\"\u003EObtén más información sobre Cortex AI Gateway en nuestro blog.\u003C/a\u003E\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_1818581894":{"id":"blog-title-777e1b0f3e","propertiesId":"ofrecer-observabilidad-en-tiempo-real-a-agentes-y-aplicaciones-con-observe-by-snowflake","type":"heading3","lines":["Ofrecer observabilidad en tiempo real a agentes y aplicaciones con Observe by Snowflake"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_1730056153":{"id":"blog-text-d32704e4b1","text":"\u003Cp\u003ECortex AI Gateway proporciona un punto de entrada gobernado para los agentes, pero ejecutar IA de forma fiable en producción también exige comprender cómo se comportan los agentes y cuál es el rendimiento de las aplicaciones y la infraestructura en las que se apoyan. \u003Ca href=\"https://www.snowflake.com/en/product/observe/\" target=\"_blank\"\u003EObserve by Snowflake\u003C/a\u003E reúne estos sistemas en una plataforma de observabilidad unificada con tecnología de IA, lo que ayuda a los equipos de ingeniería a investigar fallos, mejorar la calidad de los agentes y optimizar los costes. \u003C/p\u003E\n\u003Cp\u003EObserve ha reconstruido su pipeline de ingesta sobre Snowpipe Streaming (vista previa privada), que escribe registros, métricas y trazas directamente en tablas de Snowflake para que los ingenieros que responden a un incidente vean los datos más recientes. \u003Cb\u003ESnowflake Data Share into Observe\u003C/b\u003E (vista previa privada) convierte los datos que los clientes ya almacenan en sus propias cuentas de Snowflake en conjuntos de datos de Observe sin copia, por lo que no es necesario ingerirlos ni almacenarlos dos veces. \u003Cb\u003EO11y Agent in Slack\u003C/b\u003E (vista previa privada) permite a los equipos automatizar la respuesta inicial a nuevos problemas y consultar el análisis de la causa raíz en el canal de Slack del equipo.\u003C/p\u003E\n\u003Cp\u003EPara los equipos que crean sus propios agentes y aplicaciones de modelos de lenguaje de gran tamaño (LLM), \u003Ca href=\"https://www.snowflake.com/es/blog/ai-agent-observability-monitor-debug-optimize-llm-applications/\"\u003E\u003Cb\u003EAgent Observability\u003C/b\u003E\u003C/a\u003E (vista previa privada) realiza un seguimiento del rendimiento, los errores, el consumo de tokens y el coste. También permite buscar y depurar trazas, sesiones y conversaciones, y ejecuta evaluaciones en línea con un LLM como juez sobre el tráfico de producción. La telemetría se recopila mediante OpenTelemetry y se conserva en tablas de Apache Iceberg™ sobre una arquitectura diseñada para mantener asequible el contexto completo de los agentes, de modo que los equipos puedan conectar su comportamiento con los datos empresariales en Snowflake y evaluar el valor que aportan.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_82120626":{"id":"blog-title-bce4d648e0","propertiesId":"extender-la-gobernanza-a-un-lakehouse-abierto","type":"heading2","lines":["Extender la gobernanza a un lakehouse abierto"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_984852262":{"id":"blog-text-52980f7440","text":"\u003Cp\u003ELa mayoría de las empresas cuentan con más de una plataforma de datos. Ejecutan varios motores en distintos catálogos, regiones y nubes. Con cada silo, los agentes tienen que razonar a partir de varias copias de datos, políticas de gobernanza y capas de contexto empresarial, que a veces entran en conflicto. Esto da lugar a respuestas en las que resulta difícil confiar y que se basan en datos a los que quizá los agentes no deberían tener acceso. \u003C/p\u003E\r\n\u003Cp\u003EEn Snowflake, creemos que hay una forma mejor de hacerlo. Business Ontology y Cortex AI Gateway se sustentan en la arquitectura abierta por diseño de Snowflake. Se basa en comunidades de código abierto: Apache Iceberg para el almacenamiento, Apache Polaris™ para la gobernanza y \u003Ca href=\"https://www.snowflake.com/es/blog/apache-ossie-open-semantic-interchange-incubator/\" target=\"_blank\"\u003EApache Ossie (en incubación)\u003C/a\u003E para la semántica. En conjunto, proporcionan los mecanismos necesarios para conectar todos tus datos entre plataformas y crear un fundamento de datos abierto e interoperable, con gobernanza y contexto universales, que impulse tu empresa agéntica. \u003C/p\u003E\r\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/product/features/horizon/\" target=\"_blank\"\u003EHorizon Catalog\u003C/a\u003E, basado en Apache Polaris, ayuda a simplificar las arquitecturas con múltiples catálogos y motores al ofrecer un catálogo universal sin dependencia de un proveedor. Define un único conjunto de políticas de gobernanza y aplícalas en cualquier motor compatible con Iceberg REST Catalog, con independencia del catálogo y sin necesidad de migración, además de permitir que los motores externos accedan a tablas externas (disponibilidad general). \u003C/p\u003E\r\n\u003Cp\u003EAplicar la seguridad es solo la mitad de la ecuación; también necesitas auditar todas las interacciones de los motores. Por eso, \u003Cb\u003Eel historial de auditoría ahora registra las interacciones tanto de Snowflake como de los motores externos\u003C/b\u003E con tablas de Iceberg gestionadas por Snowflake y gestionadas externamente cuando Horizon Catalog actúa como capa de gobernanza universal. Los equipos de seguridad y plataforma pueden investigar el acceso, realizar un seguimiento de la adopción y validar las integraciones desde un único lugar, sin crear una infraestructura de observabilidad independiente.  \u003C/p\u003E\r\n\u003Cp\u003ELos silos dentro de tus equipos son solo una parte del reto. ¿Qué ocurre cuando un cliente o partner necesita acceder a los datos? Aquí entran en juego \u003Cb\u003ESnowflake AI y Data Sharing\u003C/b\u003E, que permiten a los productores de datos \u003Ca href=\"https://www.snowflake.com/en/product/features/zero-etl-data-sharing/\" target=\"_blank\"\u003Ecompartir sus productos con los consumidores de forma rápida y sencilla\u003C/a\u003E. Ahora admite \u003Ca href=\"https://docs.snowflake.com/en/collaboration/open-format-sharing\" target=\"_blank\"\u003E\u003Cb\u003EOpen Data Sharing\u003C/b\u003E\u003C/a\u003E, basado en Apache Polaris (disponibilidad general), que permite compartir datos con cualquier motor compatible con Iceberg REST.\u003C/p\u003E\r\n\u003Cp\u003ESnowflake también incorpora otras dos mejoras de IA and Data Sharing a la vista previa privada. \u003Cb\u003ECross-Cloud Sharing Without Replication\u003C/b\u003E hace que las ofertas de productos de datos de los proveedores estén disponibles entre regiones sin costes iniciales de replicación y almacenamiento, lo que permite a los consumidores acceder a los datos mediante consultas remotas en tablas de Iceberg. \u003Cb\u003ESchema Drift Detection and Copy Grants for Data Sharing\u003C/b\u003E ayuda a productores y consumidores a identificar cambios en el esquema o en los privilegios que podrían interrumpir el data sharing, al tiempo que conserva los privilegios de copia cuando se modifican las vistas.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_1130657084":{"id":"blog-title-8c4bcdb3ca","propertiesId":"gestionar-el-gasto-en-ia-y-la-administracion-en-todos-los-equipos-y-cuentas","type":"heading2","lines":["Gestionar el gasto en IA y la administración en todos los equipos y cuentas"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_219485443":{"id":"blog-text-b31fd2f047","text":"\u003Cp\u003ELos excesos de gasto en IA —o la amenaza de que se produzcan— hacen que los directivos vigilen más de cerca los créditos y los dólares. Al mismo tiempo, gestionar las cuentas y el rendimiento es un componente importante para obtener el retorno de la inversión (ROI) en IA. \u003C/p\u003E\n\u003Cp\u003ELas nuevas actualizaciones de \u003Ca href=\"https://www.snowflake.com/en/pricing-options/cost-and-performance-optimization/\" target=\"_blank\"\u003EFinOps\u003C/a\u003E ofrecen a las empresas más control y flexibilidad en la gobernanza de costes entre cuentas. Los administradores pueden aplicar \u003Ca href=\"https://www.snowflake.com/es/blog/per-user-quotas-ai-generally-available/\" target=\"_blank\"\u003Ecuotas por usuario\u003C/a\u003E, establecer límites semanales por usuario y aplicar cuotas por uso de Cortex AI Gateway (todo ello en disponibilidad general). La \u003Cb\u003Ecompatibilidad con presupuestos a nivel de organización\u003C/b\u003E (disponibilidad general) permite establecer objetivos de gasto en dólares o créditos para varias cuentas mediante etiquetas. La \u003Cb\u003Edetección de anomalías de costes basada en etiquetas\u003C/b\u003E (disponibilidad general) ofrece información sobre posibles picos y admite hasta 50 cohortes de gasto personalizadas por cuenta, con alertas diarias y un modo sandbox.\u003C/p\u003E\n\u003Cp\u003EA medida que aumenta la adopción de la IA, también crece el número de cuentas de Snowflake que utiliza una empresa. En las empresas que utilizan 10 o más cuentas de Snowflake, los administradores suelen tener que iniciar sesión en cada cuenta o escribir scripts personalizados para implementar cambios en toda la organización.\u003C/p\u003E\n\u003Cp\u003ESnowflake está cambiando esta situación con las \u003Ca href=\"https://www.snowflake.com/en/product/use-cases/organizations/\" target=\"_blank\"\u003Eorganizaciones de Snowflake\u003C/a\u003E. Ofrece a los GlobalOrgAdmins una única interfaz de Snowsight para gestionar los usuarios y grupos de usuarios de la organización, configurar reglas de dominios de terceros y tipos de inquilinos, y supervisar las infracciones. También pueden distribuir paquetes del analizador de Trust Center a cada cuenta a la vez, lo que agiliza las actualizaciones (vista previa pública). Las nuevas \u003Cb\u003Evistas de uso de la organización entre cuentas\u003C/b\u003E (disponibilidad general), que incluyen el gasto en IA de toda la organización por cuenta y servicio, permiten medir y auditar la gobernanza, y ofrecen a los administradores una vista unificada y centrada en la información útil sobre el estado de su organización.\u003C/p\u003E\n\u003Cp\u003EEl ajuste del rendimiento también se acerca cada vez más al mantenimiento cero. Con la \u003Cb\u003Efunción Automatic Key Selection \u003C/b\u003Ede Optima Clustering (disponibilidad general), Snowflake hace que el clustering sea autónomo. En lugar de que un administrador elija manualmente las claves de clustering, Snowflake ahora las selecciona en función de los patrones históricos de consulta y del acceso a las tablas, y las actualiza automáticamente a medida que cambian dichos patrones. Optima vuelve a aplicar el clustering a las partes de la tabla que realmente se consultan según los mapas de calor del workload, y la facturación basada en el valor y vinculada a la ingesta reduce la probabilidad de que se produzcan picos de costes. Junto con la capacidad de \u003Ca href=\"https://www.snowflake.com/es/blog/adaptive-compute-ga-azure-google-cloud/\" target=\"_blank\"\u003ESnowflake Adaptive Compute\u003C/a\u003E para ajustar el cómputo a medida que cambia la demanda, esto ayuda a agilizar el mantenimiento del rendimiento en toda tu empresa.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_490306541":{"id":"blog-title-245c20535e","propertiesId":"crear-agentes-que-tu-empresa-pueda-respaldar","type":"heading2","lines":["Crear agentes que tu empresa pueda respaldar"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_1335257127":{"id":"blog-text-0ef0e3cb86","text":"\u003Cp\u003EPara que los usuarios confíen en un agente, este debe basarse en significados empresariales aprobados, actuar conforme a las políticas, permanecer visible para las personas responsables de él y gastar dentro de los límites acordados. Snowflake lo hace posible al conectar el contexto empresarial gobernado, la seguridad de los agentes y los controles de costes en un único sistema, y extiende esa gobernanza y ese contexto a un fundamento de datos abierto. Con este enfoque integrado e interoperable, las empresas pueden desplegar más agentes con confianza, mejorarlos continuamente y obtener más valor de sus inversiones en IA.\u003C/p\u003E\n\u003Cp\u003EConsulta más novedades de Snowflake Expedition en \u003Ca href=\"http://snowflake.com/en/blog/expedition-26/\" target=\"_blank\"\u003Esnowflake.com/en/blog/expedition-26/\u003C/a\u003E o únete al evento virtual en \u003Ca href=\"http://snowflake.com/en/expedition/\" target=\"_blank\"\u003Esnowflake.com/en/expedition/\u003C/a\u003E.\u003C/p\u003E\n\u003Cp\u003E\u003Ci\u003EDeclaraciones prospectivas: Este artículo puede contener declaraciones prospectivas, incluidas algunas sobre futuras ofertas de productos, y no constituye un compromiso de ofrecer ningún producto. Los resultados y las ofertas reales pueden diferir. Consulta nuestro informe 10-Q más reciente para obtener más información.\u003C/i\u003E\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"blog_title_789439352":{"id":"blog-title-7eb53677a4","propertiesId":"preguntas-frecuentes","type":"heading2","lines":["Preguntas frecuentes"],":type":"snowflake-site/components/blog/blog-title","appliedCssClassNames":"left-alignment"},"blog_text_1267904540":{"id":"blog-text-978fd6008c","text":"\u003Ch4\u003E¿Qué es Business Ontology?\u003C/h4\u003E\n\u003Cp\u003EBusiness Ontology es una capa de gobernanza de Snowflake Horizon Context que pronto estará disponible en vista previa pública. Registra el significado oficial de los términos empresariales, quién los ha aprobado y qué activo de datos los calcula. Las definiciones aprobadas se vinculan a vistas semánticas, tablas y vistas, y se ponen a disposición de Snowflake CoCo y Snowflake CoWork para que los agentes de IA puedan responder basándose en la definición autorizada.\u003C/p\u003E\n\u003Ch4\u003E¿Qué hace Cortex AI Gateway?\u003C/h4\u003E\n\u003Cp\u003ECortex AI Gateway amplía el plano de control de Snowflake a los agentes de IA de terceros. Comprueba que las llamadas a herramientas MCP cumplan las políticas antes de ejecutarse, registra las llamadas a modelos y los pasos de razonamiento en un plano de observabilidad del lado del servidor, atribuye el gasto en IA y aplica límites presupuestarios estrictos casi en tiempo real. También dirige cada solicitud al modelo más eficiente.\u003C/p\u003E\n\u003Ch4\u003E¿Cómo te ayuda Snowflake a controlar el coste de los agentes de IA?\u003C/h4\u003E\n\u003Cp\u003ESnowflake ayuda a controlar los costes de los agentes de IA en varios niveles. Cortex AI Gateway atribuye el gasto a equipos, agentes y aplicaciones, y aplica límites casi en tiempo real, mientras que el enrutamiento dinámico de modelos te permite elegir el mejor modelo para tu solicitud en función del coste, la precisión y la latencia. Los presupuestos a nivel de organización, las cuotas por usuario y la detección de anomalías basada en etiquetas amplían la gobernanza de costes a cada cuenta.\u003C/p\u003E\n\u003Ch4\u003E¿Puede Snowflake gobernar tablas de Apache Iceberg gestionadas en otros catálogos?\u003C/h4\u003E\n\u003Cp\u003Esí. Horizon Catalog, basado en Apache Polaris, puede acceder a tablas de Iceberg gestionadas externamente mediante Horizon Iceberg REST Catalog y gobernarlas in situ sin necesidad de migrarlas. Open Data Sharing, ahora con disponibilidad general, proporciona datos gobernados a cualquier cliente de Iceberg REST Catalog.\u003C/p\u003E\n\u003Ch4\u003E¿Cómo facilita Observe by Snowflake la observabilidad de los agentes de IA?\u003C/h4\u003E\n\u003Cp\u003EAgent Observability, en vista previa privada, recopila la telemetría de los agentes mediante OpenTelemetry y hace un seguimiento del rendimiento, los errores, el consumo de tokens y el coste. Permite depurar trazas, sesiones y conversaciones, y ejecuta evaluaciones con un LLM como juez sobre el tráfico de producción. La telemetría se conserva en tablas de Apache Iceberg para que los equipos puedan correlacionar el comportamiento de los agentes con los datos empresariales.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"}},":itemsOrder":["blog_text","blog_title","blog_text_275396429","blog_title_707169141","blog_text_883134437","image","blog_title_2102433236","blog_text_948856335","wistia_video","blog_text_588005512","blog_title_1818581894","blog_text_1730056153","blog_title_82120626","blog_text_984852262","blog_title_1130657084","blog_text_219485443","blog_title_490306541","blog_text_1335257127","blog_title_789439352","blog_text_1267904540"],":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 aem-Grid--default--12","id":"container-3b60058fff","appliedCssClassNames":"snowflake-responsive-component-top-padding-medium",":type":"snowflake-site/components/container",":items":{"author_chip":{"id":"author-chip-7fd78f416e","title":{"id":"title","type":"heading2","lines":["Learn more about the authors"],":type":"snowflake-site/components/title-v2"},"authors":[{"authorImage":{"id":"image-9c788fbfd9","height":"378","src":"/adobe/dynamicmedia/deliver/dm-aid--e2ddb09f-d531-4449-b361-1691b1bde2a1/nick-el-rayess.jpg?quality=85&preferwebp=true","lazyEnabled":true,"isLcpImage":false,"width":"378",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-e6b308f0fb","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/nick-el-rayess/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Nick El-Rayess"},"authorTitle":"Senior Product Marketing Manager"},{"authorImage":{"id":"image-10e25b80a7","height":"450","src":"/adobe/dynamicmedia/deliver/dm-aid--896ed406-dc05-44fc-923f-c331742e5dcc/carlos-nai.jpg?quality=85&preferwebp=true","lazyEnabled":true,"alt":"Headshot-style photo of Carlos 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