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Learn about our architecture that combines at least one public and one private cloud to deliver the highest levels of scalability, flexibility, and performance.
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Increases of up to 1,000% in renewals are forcing IT and finance teams to assess whether it makes sense to continue sustaining the current infrastructure or take advantage of the moment to embark on a redesign.
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We constantly challenge ourselves to be better, providing your company with AWS solutions in a holistic and tailored way.
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Our team is constantly training and certifying on Azure’s services.
We scale to environments with thousands of items monitored simultaneously.
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Nubiral and Diligent join to present a revolutionary solution that will transform the way organizations manage their GRC (Governance, Risk, and Compliance) processes.
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Private bank implements comprehensive Observability solution with Nubiral to optimize and gain greater visibility of its Infrastructure health.
Increases of up to 1,000% in renewals are forcing IT and finance teams to assess whether it makes sense to continue sustaining the current infrastructure or take advantage of the moment to embark on a redesign.
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Connect+ is a great tool to incorporate knowledge and stay up to date with the latest technological developments.
Access new innovative audiovisual content, quickly and easily. Explore and get to know the technological universe in a different and agile way!
How to develop a cybersecurity plan? Which are the main threats? Which are the best and most modern technologies to face these threats?
Banks and financial services companies can benefit in numerous ways by deploying Microsoft Fabric.
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OpenSearch is a comprehensive solution for centralizing and analyzing logs from various sources, ideal for managing complex IT scenarios.
Cómo superar la brecha de la IA generativa y maximizar el retorno de inversión en tu empresa. Estrategias de integración, aprendizaje continuo y colaboración con socios.
El 95% de las organizaciones no obtiene un retorno medible de sus inversiones en IA generativa. Este fenómeno ha dado lugar a lo que se conoce como “la brecha de la IA generativa”. Es decir, una división entre quienes generan millones en valor y quienes apenas registran impacto.
El problema no radica en la calidad de los modelos ni en la regulación, sino en el enfoque. Herramientas de uso general como ChatGPT son ampliamente adoptadas, pero los sistemas empresariales personalizados fallan en la mayoría de los casos al pasar de piloto a producción.
Una buena noticia: existen maneras de saltar estas brechas y convertirse en parte del 5% restante.
La mayoría de las organizaciones se encuentran en el lado “equivocado” de la brecha. Esto significa que existe una alta adopción de herramientas genéricas pero que, a través de ellas, se alcanza una baja transformación estructural.
El hecho de que más del 80% de las organizaciones haya explorado la IA nos habla de una adopción masiva. Aún así la disrupción es escasa: sólo dos de nueve sectores industriales muestran un cambio significativo.
La brecha se hace más evidente en la tasa de fracaso de las herramientas empresariales personalizadas, que no logran pasar de la etapa piloto a la de producción.
Esto demuestra una “experimentación generalizada sin transformación”, con empresas que invierten en soluciones que no encajan bien con sus flujos de trabajo ni ofrecen un valor medible en sus resultados.
La razón principal del estancamiento de los proyectos piloto es la “brecha de aprendizaje”: las herramientas de IA no aprenden, no se integran bien o no se adaptan a los flujos de trabajo.
Los usuarios prefieren opciones flexibles como ChatGPT para tareas rápidas, pero para trabajos complejos, el 90% prefiere un colega humano. ¿La razón? Los sistemas de IA no pueden acumular conocimiento ni mejorar con la retroalimentación.
Un problema estructural que se constituye como la barrera más grande para escalar la adopción en la empresa.
En este sentido, los creadores de sistemas de IA generativa más exitosos son aquellos que apuestan por sistemas adaptativos que aprenden de la retroalimentación del cliente, se centran en casos de uso de alto valor más que en soluciones genéricas y priorizan la integración con los flujos de trabajo existentes y el aprendizaje continuo.
Superar la brecha de la IA generativa no es una tarea que deba afrontarse de manera aislada. La clave está en vincularse con el socio tecnológico estratégico adecuado. Uno que entienda el negocio, los procesos internos y los objetivos de transformación. Este tipo de colaboración permite que la implementación de la IA no solo se limite a soluciones puntuales, sino que se integre de manera fluida con los flujos de trabajo existentes y evolucione con el tiempo.
En Nubiral aportamos experiencia en adaptación y personalización. Así, facilitamos que los sistemas aprendan de la retroalimentación real de los usuarios y se ajusten al contexto de la empresa.
Además, ayudamos a priorizar los casos de uso de mayor valor, acelera la adopción dentro de la organización y asegura que cada proyecto de IA genere un impacto tangible en los resultados de negocio. Siempre, con un ojo puesto en la ciberseguridad.
En definitiva, elegir al aliado adecuado convierte la inversión en IA en una ventaja competitiva sostenible, minimizando riesgos y maximizando oportunidades de transformación real.
Superar la brecha de la IA generativa requiere asociarse con socios tecnológicos capaces de integrarse profundamente y evolucionar con el tiempo. Así, los sistemas no solo aprenden y se adaptan, sino que generan valor sostenido, consolidando la ventaja competitiva de la organización.
La clave no es solo invertir en IA, sino invertir inteligentemente, con socios y estrategias que permitan transformar la empresa de verdad.
¿Tu organización está pensando en saltar las brechas de la IA generativa? Tenemos un equipo de expertos que puede ayudarte. ¡Agenda tu reunión!
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