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Krishnan","height":"806","width":"936",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-5d3c533a42","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/prasanna-krishnan/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Prasanna Krishnan"}}],"tag":{"tagText":"Producto y tecnología","tagColor":"#3F808A"},"title":{"lines":["Snowflake pone los datos empresariales listos para IA al alcance de tu mano"],"type":"heading2",":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/blog/blog-hero"}},":itemsOrder":["blog_hero"]},"responsivegrid_content":{"columnClassNames":{"blog_text":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"appliedCssClassNames":"snowflake-layout-container-inner-padding-small",":items":{"blog_text":{"id":"blog-text-a897fee9d9","text":"\u003Cp\u003ESabemos que los desarrolladores no quieren esperar a que se apruebe una solicitud de acceso o a que se actualice un conjunto de datos antes de empezar a crear la próxima gran aplicación o agente de IA. También sabemos que ni siquiera el mejor modelo puede compensar unos datos incompletos, fragmentados y desactualizados. \u003C/p\u003E\r\n\u003Cp\u003EPara estar listos para la inteligencia artificial (IA), los datos deben estar disponibles, ser accesibles, utilizables y gobernables de forma continua; eso es lo que marca la diferencia entre una IA que fracasa y una IA que triunfa en el mundo real. Por eso, Snowflake se compromete a asegurar que nuestros clientes siempre tengan datos listos para la IA para impulsar sus implementaciones de IA en producción y sus aplicaciones inteligentes. Las últimas mejoras de nuestra plataforma abarcan el procesamiento transaccional, las analíticas, la optimización automatizada, la interoperabilidad y capacidades de gobernanza y resiliencia de nivel empresarial, para que puedas:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EPreparar todos tus datos empresariales para la IA,\u003C/b\u003E incluidos los datos transaccionales y en tiempo real\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EMantener los sistemas de IA rápidos y con buena capacidad de respuesta\u003C/b\u003E gracias a la optimización continua del rendimiento integrada\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EReducir el movimiento y la fragmentación de los datos\u003C/b\u003E en workloads operativos, de analíticas y de IA\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EUsar de forma segura datos confidenciales en iniciativas de IA\u003C/b\u003E con controles de gobernanza integrados en tu plataforma, no añadidos\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EEscalar la IA con confianza\u003C/b\u003E con interoperabilidad y resiliencia a nivel empresarial\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EVeamos más de cerca cómo Snowflake está cerrando el ciclo entre los datos, la IA y la acción.\u003C/p\u003E\r\n\u003Ch2\u003EDatos listos para la IA: el secreto del éxito de la IA\u003C/h2\u003E\r\n\u003Cp\u003EPara ofrecer auténtica inteligencia empresarial, la IA necesita datos operativos fácilmente disponibles y con el contexto pertinente. Eso significa modernizar tanto tu estrategia de datos como los sistemas donde residen esos datos, para que la IA funcione con datos recientes y conectados. \u003C/p\u003E\r\n\u003Cp\u003ESnowflake está abordando este reto desde múltiples frentes. Para las organizaciones que buscan modernizar plataformas heredadas, \u003Cb\u003ESnowConvert AI ofrece conversión de código basada en IA\u003C/b\u003E (ahora con disponibilidad general) para acelerar el camino hacia los datos listos para la IA. Las mejoras en los agentes de IA subyacentes permiten una mayor precisión y una menor latencia, mientras que un nuevo enfoque integrado de pruebas unitarias utiliza datos sintéticos para verificar la ejecución tanto en las bases de datos de origen como en las bases de datos de destino de Snowflake. La ampliación de la cobertura de migración para procedimientos almacenados de Sybase, funciones definidas por el usuario (UDF) y proyectos SSIS-to-dbt conserva la lógica crítica para el negocio y reduce el esfuerzo de migración manual. La \u003Cb\u003Econversión a tablas de Apache Iceberg™ gestionadas por Snowflake basada en IA\u003C/b\u003E (ahora con disponibilidad general) ofrece otra opción de conversión de tablas de origen para Teradata que responde a la necesidad de interoperabilidad con un formato de tabla abierto, a la vez que mantiene el rendimiento, la fiabilidad y los controles de gobernanza gestionados por Snowflake.\u003C/p\u003E\r\n\u003Cp\u003EPara quienes quieren dejar de recurrir a bases de datos externas o capas de caché al crear aplicaciones, existe el tándem de Snowflake Postgres e Interactive Analytics. Estas ofertas complementarias comparten un objetivo: ayudar a los desarrolladores a crear aplicaciones de alto rendimiento de forma más rápida y sencilla, ejecutando todos los workloads de datos en Snowflake.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E\u003Ca href=\"https://www.snowflake.com/en/product/features/postgres/\"\u003ESnowflake Postgres\u003C/a\u003E, con disponibilidad general próximamente, está diseñado para casos de uso transaccionales. \u003C/b\u003ELleva Postgres al AI Data Cloud de Snowflake, ofreciendo una plataforma lista para producción para aplicaciones y agentes de IA, lo que simplifica tu huella arquitectónica mediante la consolidación de la infraestructura. Snowflake Postgres conecta los datos transaccionales con las analíticas sin flujos frágiles y ofrece confianza de nivel empresarial con seguridad, resiliencia y escalabilidad probadas en la práctica. Los desarrolladores obtienen compatibilidad con Postgres al 100 % y alto rendimiento, mientras que las empresas consiguen una plataforma unificada para impulsar la próxima generación de aplicaciones en tiempo real y agentes de IA.\u003C/p\u003E\r\n\u003Cp\u003ESnowflake Postgres es idóneo para casos de uso como:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EDesarrollo moderno de aplicaciones e IA: \u003C/b\u003EImpulsa una nueva clase de aplicaciones inteligentes, con reconocimiento del contexto, que requieren transacciones de alto rendimiento y analíticas a gran escala de forma simultánea.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EAnalíticas en tiempo real: \u003C/b\u003EPrepara datos operativos recientes para su análisis en el AI Data Cloud sin el coste oculto de extracción, transformación y carga (ETL).\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EAlmacén operativo: \u003C/b\u003EModerniza y consolida los back-ends de aplicaciones web y empresariales mediante lift and shift de las aplicaciones Postgres existentes sin reescribir el código. \u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/engineering-blog/Interactive-analytics-tables-warehouses/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003E\u003Cb\u003EInteractive Analytics\u003C/b\u003E\u003C/a\u003E \u003Cb\u003Eestá diseñado para casos de uso analíticos con predominio de lectura\u003C/b\u003E, lo que permite que miles de usuarios accedan a un panel de analíticas o a una API simultáneamente con respuestas en menos de un segundo. Eso supone una valiosa ventaja competitiva cuando se traduce en decisiones seguras, un servicio de atención al cliente más rápido (y mejor informado) o cambios rápidos para adaptarse a las tendencias del mercado. Utiliza Interactive Analytics en escenarios de gran volumen como:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cb\u003EAnalíticas orientadas al usuario: \u003C/b\u003EImpulsa paneles o módulos de informes en una aplicación de software como servicio (SaaS) en la que los usuarios esperan tiempos de respuesta ultrarrápidos.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003EAPI de alto rendimiento\u003C/b\u003E: Sirve como back-end de analíticas para API con gran volumen de datos que gestionan grandes cantidades de solicitudes de lectura concurrentes.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ESupervisión en tiempo real: \u003C/b\u003EProporciona la capa de servicio de baja latencia para telemetría, observabilidad, consolas del Internet de las cosas (IdC) y otras situaciones en las que los datos deben visualizarse al instante a medida que llegan. \u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Ch2\u003ERendimiento a la velocidad de la IA\u003C/h2\u003E\r\n\u003Cp\u003EUna IA eficaz debe operar en tiempo real, no solo por lotes o sin conexión, y necesita un acceso a los datos rápido y predecible. También debe poder ampliarse para satisfacer la demanda sin ajuste constante ni gestión manual. \u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/snowflake-optima\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ESnowflake Optima\u003C/a\u003E \u003C/b\u003Eimpulsa a los desarrolladores (y sus proyectos de IA) al analizar de forma continua y automática el historial de workloads y ofrecer optimizaciones inteligentes que aceleran el rendimiento. \u003Cb\u003EOptima Metadata\u003C/b\u003E (con disponibilidad general) genera metadatos específicos de workloads para mejorar el rendimiento de las consultas; usar esta herramienta junto con \u003Ca href=\"https://www.snowflake.com/en/engineering-blog/intelligent-optimizations-snowflake-optima/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003EOptima Indexing\u003C/a\u003E significa que los desarrolladores ahora pueden optimizar automáticamente el almacenamiento, la indexación y el rendimiento de los metadatos. Además, \u003Cb\u003EQuery Acceleration Service\u003C/b\u003E ahora está habilitado de forma predeterminada para los almacenes Gen2 y multiclúster, lo que acelera las consultas críticas, incluidas las de tablas de Apache Iceberg, y ofrece a los usuarios una mejor visibilidad del uso y el rendimiento de las consultas. \u003C/p\u003E\r\n\u003Cp\u003EMientras tanto, las mejoras continuas de Snowflake en \u003Ca href=\"https://www.snowflake.com/en/engineering-blog/next-gen-snowpipe-streaming-architecture/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ESnowpipe Streaming\u003C/a\u003E, tablas dinámicas y almacenes Gen2 mantienen la ingestión, transformación y disponibilidad continuas de los datos en tiempo casi real. Junto con Snowflake Optima y el rendimiento analítico en menos de un segundo de Interactive Analytics, ofrecen a los desarrolladores un rendimiento fiable para cubrir las necesidades de la IA generativa del mundo real y de las innovaciones basadas en agentes de IA.\u003C/p\u003E\r\n\u003Ch2\u003EDatos gobernados, abiertos e interoperables para una IA fiable\u003C/h2\u003E\r\n\u003Cp\u003ETu IA es tan fiable como los datos que hay detrás. Debes saber de dónde proceden originalmente los datos, poder aprovechar de forma segura la gran cantidad de información que contienen los datos confidenciales y poder acceder a datos almacenados en distintos formatos y ubicaciones. A medida que más personas usan herramientas de IA para funciones críticas del negocio, cualquier fallo o alucinación no solo podría dañar tu reputación, sino también provocar errores más graves: según un \u003Ca href=\"https://kpmg.com/xx/en/media/press-releases/2025/04/trust-of-ai-remains-a-critical-challenge.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Eestudio de KPMG\u003C/a\u003E reciente, el 66 % de los encuestados confía en los resultados de la IA sin evaluar la precisión y el 56 % está cometiendo errores en su trabajo debido a la IA.\u003C/p\u003E\r\n\u003Cp\u003ELos desarrolladores no deberían tener que dedicar ciclos adicionales a pensar en la gobernanza y la seguridad: debería funcionar sin más. Con Snowflake, la gobernanza, la seguridad y la resiliencia están integradas directamente en la plataforma, de modo que las aplicaciones y la IA que se crean en Snowflake cuentan con una base sólida de gobernanza desde el principio. Capacidades como \u003Cb\u003EAI Redact\u003C/b\u003E (ahora con disponibilidad general), los nuevos \u003Cb\u003Eclasificadores de datos confidenciales específicos de la UE\u003C/b\u003E y las nuevas \u003Cb\u003Epolíticas de proyección y de acceso a filas basadas en etiquetas\u003C/b\u003E te permiten analizar y usar conjuntos de datos confidenciales de forma segura, sin comprometer la privacidad ni hacer que los datos queden inutilizables. \u003C/p\u003E\r\n\u003Cp\u003EPara que sea más sencillo evaluar y gestionar la calidad de los datos, hemos mejorado nuestras funciones de \u003Cb\u003Enotificaciones de la calidad de los datos\u003C/b\u003E (en vista previa pública) y detección de anomalías (con disponibilidad general). Las \u003Cb\u003Ecapacidades de linaje externo\u003C/b\u003E (en vista previa pública) te permiten incorporar datos de fuentes externas y obtener una visión integral del linaje de los datos, de modo que puedas estar seguro de que tus modelos de IA se entrenan con entradas fiables. Una vez que tus datos están en buen estado, \u003Cb\u003E\u003Ca href=\"https://www.snowflake.com/es/blog/regulated-workloads-snowflake-backups/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ESnowflake Backups\u003C/a\u003E \u003C/b\u003Epuede crear copias de seguridad inmutables con bloqueo de retención para ayudar a proteger los datos frente a pérdidas, manipulaciones o ciberataques, así como para restaurar el acceso y recuperar datos valiosos en caso de interrupciones.\u003C/p\u003E\r\n\u003Cp\u003ESnowflake también está ampliando la \u003Cb\u003Einteroperabilidad de lakehouse abierto\u003C/b\u003E, lo que permite que la IA \u003Ca href=\"https://www.snowflake.com/es/blog/data-engineering-lakehouse-open-formats/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Eacceda de forma segura a datos gobernados independientemente de dónde se almacenen\u003C/a\u003E en distintas nubes, catálogos y formatos. La \u003Cb\u003Ecompatibilidad con Apache Iceberg V3\u003C/b\u003E, incluida la capacidad de procesar datos semiestructurados con tipos de datos VARIANT (próximamente en vista previa pública), y las \u003Cb\u003Ecapacidades de interoperabilidad de \u003Ca href=\"https://www.snowflake.com/en/product/features/horizon/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003EHorizon Catalog\u003C/a\u003E\u003C/b\u003E (compatibilidad de lectura externa con disponibilidad general; compatibilidad de escritura externa en vista previa pública) facilitan el acceso a las tablas gestionadas por Snowflake desde cualquier motor mediante API abiertas para lograr la máxima flexibilidad. Horizon Catalog también simplifica el proceso de ampliar la gobernanza unificada a todo el ecosistema de Apache Iceberg al permitir \u003Cb\u003Eaplicar de forma coherente políticas de enmascaramiento de filas y columnas en Apache Spark y Snowflake para tablas de Iceberg \u003C/b\u003E(con disponibilidad general). \u003C/p\u003E\r\n\u003Cp\u003EUna integración lanzada recientemente con Microsoft OneLake, ahora con disponibilidad general, permite a los clientes comunes contar con acceso de lectura bidireccional seguro para datos de Apache Iceberg gestionados por Snowflake o Microsoft Fabric. Esto significa que puedes acceder sin problemas a todos tus datos en ambas plataformas, sin complejidad ni duplicación de datos. Escucha a nuestros directores de producto hablar sobre cómo esto está haciendo posible una verdadera \u003Ca href=\"https://www.youtube.com/watch?v=SNgPjz6pA1s\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Eapertura e interoperabilidad\u003C/a\u003E, y mira este vídeo para \u003Ca href=\"https://aka.ms/OneLake-Snowflake-GA\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Eprofundizar en las novedades\u003C/a\u003E. Además, para facilitar el data sharing entre equipos, nubes y regiones, el \u003Cb\u003E\u003Ca href=\"https://www.snowflake.com/es/blog/data-sharing-open-table-formats/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Euso compartido de formatos de tabla abiertos\u003C/a\u003E \u003C/b\u003Eamplía el modelo de data sharing sin ETL de Snowflake a formatos adicionales, incluidos Apache Iceberg y Delta Lake. Los desarrolladores pueden colaborar entre formatos abiertos manteniendo el control tanto del acceso como de los costes.\u003C/p\u003E\r\n\u003Ch2\u003EDatos empresariales listos para IA por diseño\u003C/h2\u003E\r\n\u003Cp\u003ESnowflake está subiendo el listón a la hora de establecer un fundamento de los datos sencillo, conectado y fiable que hace que los datos empresariales estén listos para la IA por diseño. Los desarrolladores pueden crear aplicaciones inteligentes y agentes de IA listos para producción en una plataforma central e integrada que incorpora gobernanza, interoperabilidad y alto rendimiento desde el principio. \u003C/p\u003E\r\n\u003Cp\u003EObtén más información sobre cómo preparar tus datos para la IA con la potencia de la plataforma de Snowflake en \u003Ca href=\"http://snowflake.com/en/make-data-ai-ready\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Esnowflake.com/en/make-data-ai-ready\u003C/a\u003E y, a continuación, descubre cómo el AI Data Cloud puede ayudarte a crear mejor con nuevas funciones que ofrecen \u003Ca href=\"https://www.snowflake.com/es/blog/building-reliable-applications/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Einteligencia empresarial y agentes de IA a escala\u003C/a\u003E y que \u003Ca href=\"https://www.snowflake.com/es/blog/agentic-ai-developer-platform/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Emodernizan el flujo de trabajo del desarrollador\u003C/a\u003E. \u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003E\u003Cb\u003EDeclaraciones prospectivas\u003C/b\u003E\u003C/i\u003E\u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003EEste artículo contiene declaraciones prospectivas, incluidas las declaraciones relativas a nuestras futuras ofertas de productos, que no implican que nos comprometamos a proporcionar ninguna oferta de producto. Los resultados y las ofertas reales pueden diferir y están sujetos a riesgos e incertidumbres conocidos y desconocidos. Consulta nuestro formulario 10-Q más reciente para obtener más información.\u003C/i\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/blog/blog-text"}},":itemsOrder":["blog_text"],":type":"wcm/foundation/components/responsivegrid"},"responsivegrid_premium_content_banner":{"columnClassNames":{"premium_content_bann":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"appliedCssClassNames":"snowflake-responsive-component-top-padding-medium",":items":{"premium_content_bann":{"id":"premium-content-banner-74d31807ed","contentHeadline":"Explora la plataforma de Snowflake","contentDescription":"Descubre cómo puedes acelerar la innovación en materia de datos e IA en una plataforma totalmente gestionada y preparada para la 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