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Innovation and technology nurture each other.
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Discover the technological disruption that allows you to take your business to a new level and achieve maximum productivity.
Advanced monitoring system based on generative AI multi-agents that enables real-time decision-making through continuous data analysis.
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Business analysis, manage diverse data sources, and achieve a better understanding of the world through these centralized repositories.
Robotic Process Automation (RPA) and Artificial Intelligence that empower a rapid automation of end-to-end business processes and accelerate digital transformation.
Virtual conversational assistant based on Artificial Intelligence (AI) that enables real-time file processing.
An AI solution that allows extracting information from documents and incorporating it into an automatic process, using OCR technology.
A regional streaming platform transformed its user experience through a modern AI-based architecture, improving content discovery and boosting retention.
A major bank, in collaboration with another company, is developing a project to build its own Home Banking system, which includes the creation and hosting of a series of APIs on AWS.
LLM-based solution that analyzes clauses, commercial conditions, and contracts, generating customized matrices with recommendations to ensure compliance with legal policies before signing.
Design and implementation of specialized APIs with integrated OCR to interpret documents in multiple formats.
How to bridge the Generative AI gap and maximize roi in your company. Strategies for integration, continuous learning, and collaboration with key business partners.
A strategic guide to empower your processes, optimize decision-making, and revolutionize your business.
A guide for companies to start capitalizing on their investments in new technologies now.
Advances in machine learning enable digital media companies to improve their recommender systems and optimize user experience.
Learn about our architecture that combines at least one public and one private cloud to deliver the highest levels of scalability, flexibility, and performance.
En un entorno donde la experiencia del usuario es clave, una reconocida plataforma de streaming confió en Nubiral para optimizar sus operaciones en AWS y escalar de forma segura, continua y eficiente.
A major bank needed to migrate its workloads to the cloud and decided to rely on Nubiral for the initial configuration in AWS.
Migration to the AWS Cloud at Telecom Argentina, modernizing obsolete applications with a focus on operational excellence.
Successful migration to AWS cloud to modernize Claro Video’s multimedia content infrastructure.
Cloud-native modernization allows for scaling, automation, and agile adaptation. It’s one of the pillars of AI-powered digital evolution.
A tour of the main opportunities that arise from a correct and timely migration of workloads to the cloud, and the trends that are being visualized in the cloud universe.
Application migration, optimization, efficiency, security, analytics and implementation services, with the aim of simplifying and accelerating the adoption of the latest IT trends in the market.
Analytical solution designed to transform raw metrics into actionable insights for engineering teams and technical leadership.
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A review of the meanings of each of these concepts, how they integrate with each other and what benefits they bring.
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Private bank implements comprehensive Observability solution with Nubiral to optimize and gain greater visibility of its Infrastructure health.
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One of the leading banks in Chile utilizes the most advanced AWS services to work on the ingestion, storage, detection, and predictive models of data from cybersecurity intelligence sources.
Migration of monitoring tool to an automated system for host discovery, dashboards, and scalability over time.
In an industry characterized by challenges and increasing competitiveness, this technology is a key success factor.
A key paradigm for anticipating and solving problems in increasingly complex IT infrastructures.
OpenSearch is a comprehensive solution for centralizing and analyzing logs from various sources, ideal for managing complex IT scenarios.
We help innovate by preparing our clients against current cyber threats.
We fulfill the responsibility of protecting data to maintain trust and comply with regulations.
Explore our successful case studies across different industries, led by digital innovation experts.
Integrating AI, advanced analytics, and cybersecurity from the start is key to protecting data and applications in an increasingly complex environment.
All about this approach to developing and deploying AI while ensuring ethical, legal, data protection, information security and accountability principles.
How to develop a cybersecurity plan? Which are the main threats? Which are the best and most modern technologies to face these threats?
As an Advanced Consulting Partner of the AWS Partner Network, we think outside the box, daring to go where no one has gone before.
We constantly challenge ourselves to be better, providing your company with AWS solutions in a holistic and tailored way.
As Cloud Gold Partner, we work together with Microsoft every day to offer our clients the most innovative solutions based on the different microservices and capabilities that the Azure cloud offers.
Our team is constantly training and certifying on Azure’s services.
We scale to environments with thousands of items monitored simultaneously.
We also capture data of systems and applications over time to make proactive decisions and to anticipate disruptions in business services.
Nubiral and Diligent join to present a revolutionary solution that will transform the way organizations manage their GRC (Governance, Risk, and Compliance) processes.
A major bank, in collaboration with another company, is developing a project to build its own Home Banking system, which includes the creation and hosting of a series of APIs on AWS.
A regional streaming platform transformed its user experience through a modern AI-based architecture, improving content discovery and boosting retention.
Private bank implements comprehensive Observability solution with Nubiral to optimize and gain greater visibility of its Infrastructure health.
How to bridge the Generative AI gap and maximize roi in your company. Strategies for integration, continuous learning, and collaboration with key business partners.
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Data is a pillar of digital evolution, protected by cybersecurity across cloud environments and AI models.
Companies that integrate AI into their operations enhance customer experience, optimize processes, increase margins, and gain agility.
A strategic guide to empower your processes, optimize decision-making, and revolutionize your business.
Intelligent monitoring with automated actions to anticipate problems and speed up response times.
Nubiral experts analyze how innovation will impact businesses over the next twelve months.
All about this approach to developing and deploying AI while ensuring ethical, legal, data protection, information security and accountability principles.
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!
Advances in machine learning enable digital media companies to improve their recommender systems and optimize user experience.
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.
Microsoft Fabric’s data analytics combined with the power of the multi-cloud architecture, drives decision making and empowers users.
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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