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Este ebook está diseñado para ayudarle a prepararse hoy para ese futuro.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003ECONTENIDO QUE APRENDERÁ\u003C/b\u003E\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003ECómo está transformando la IA la ingesta, la transformación, la entrega y las prácticas de DataOps, y qué enfoques modernos, como Snowflake CoCo, responden a cada cambio\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EPor qué los pipelines declarativos son la opción más escalable para los workloads de IA y cómo realizar la transición con Snowflake DCM Projects\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003ECómo entregar productos de datos que sirvan tanto a consumidores humanos como a agentes de IA, incluidas capas semánticas diseñadas para realizar consultas precisas con IA en Snowflake CoWork\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003EQué prácticas de DataOps —control de versiones, integración e implementación continuas (CI/CD), gestión de entornos y desarrollo asistido por IA— permiten a su equipo iterar a la velocidad de la IA\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003ECómo evolucionará el papel del ingeniero de datos a medida que los agentes de IA asumen más tareas del pipeline y cómo posicionar a su equipo para liderar esta evolución\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EACERCA DEL AUTOR\u003Cbr\u003E\r\nGilberto Hernandez es Lead Developer Advocate en Snowflake, donde ayuda a los ingenieros de datos a crear pipelines modernos y nativos de IA. 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