Innovation and technology nurture each other.
We harness the power of data for better decision making within an innovative organizational culture, through our team of Data Architects, Data Scientists and Data Engineers.
This evolves into gigantic volumes of data, which using the tools provided by the cloud allows us not only to improve its analysis but also to implement Machine Learning and AI to increase business intelligence.
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.
The Master Data Optimization solution uses Machine Learning to automate the creation, remediation and continuous maintenance of master databases.
AI solution that allows the forecasting of business events in advance in order to plan improvements and actions that optimize results.
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.
Chilean bank optimizes cybersecurity data analysis through advanced AWS services.
A major entertainment company improves the execution of change flows in its RPA infrastructure by 80% through automation with Azure DevOps.
A major Argentine logistics company implements a chatbot that allows supervisors to check the status of their branches in real time.
The company transforms its planning with a data-driven approach on AWS, improving forecast accuracy and operational efficiency.
A solid, connected, and governed data foundation is the starting point for AI to work with accuracy, scalability, and purpose.
Technological evolution is no longer about adopting isolated solutions, but about designing intelligent architectures capable of learning, anticipating, and operating autonomously.
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.
A renowned automotive company accelerated its digital transformation by migrating and modernizing its SAP S/4HANA environment on AWS, ensuring operational efficiency, scalability and cost savings.
The company improves its connectivity and resilience through an AWS-based network architecture.
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.
This strategy to optimize costs, increase resilience, and gain operational flexibility involves challenges that can jeopardize the expected benefits.
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.
A leading technology company modernized its development ecosystem with GitHub and Azure alongside Nubiral, reducing provisioning times and improving security.
Analytical solution designed to transform raw metrics into actionable insights for engineering teams and technical leadership.
The client needed to evolve their Gala chatbot so that end users could consume information from their centralized documentation platform.
Important bank in Colombia migrates from GitLab to GitHub Enterprise and trains its staff for efficient adoption.
Real process, quality, and collaboration indicators to understand whether this technology is generating concrete impact on teams and on the business.
A review of the meanings of each of these concepts, how they integrate with each other and what benefits they bring.
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.
Private bank implements comprehensive Observability solution with Nubiral to optimize and gain greater visibility of its Infrastructure health.
Improving data observability and security at a major bank with AWS OpenSearch.
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.
Company optimize its workloads in the cloud with a secure and scalable architecture on AWS.
It is the ideal framework for companies in the sector to innovate without compromising resilience or market trust.
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?
Real process, quality, and collaboration indicators to understand whether this technology is generating concrete impact on teams and on the business.
You don’t always need to start over: With the right strategy, legacy systems can stop being anchors that hold the business back and instead help move the organization toward the future.
This strategy to optimize costs, increase resilience, and gain operational flexibility involves challenges that can jeopardize the expected benefits.
Companies are effectively scaling the adoption of GitHub and Copilot. How to overcome challenges to turn development into an advantage.
Technological evolution is no longer about adopting isolated solutions, but about designing intelligent architectures capable of learning, anticipating, and operating autonomously.
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.
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.
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.
Chilean bank optimizes cybersecurity data analysis through advanced AWS services.
A major entertainment company improves the execution of change flows in its RPA infrastructure by 80% through automation with Azure DevOps.
Private bank implements comprehensive Observability solution with Nubiral to optimize and gain greater visibility of its Infrastructure health.
Innovation and technology nurture each other.
We harness the power of data for better decision making within an innovative organizational culture, through our team of Data Architects, Data Scientists and Data Engineers.
This evolves into gigantic volumes of data, which using the tools provided by the cloud allows us not only to improve its analysis but also to implement Machine Learning and AI to increase business intelligence.
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.
The Master Data Optimization solution uses Machine Learning to automate the creation, remediation and continuous maintenance of master databases.
AI solution that allows the forecasting of business events in advance in order to plan improvements and actions that optimize results.
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.
Chilean bank optimizes cybersecurity data analysis through advanced AWS services.
A major entertainment company improves the execution of change flows in its RPA infrastructure by 80% through automation with Azure DevOps.
A major Argentine logistics company implements a chatbot that allows supervisors to check the status of their branches in real time.
The company transforms its planning with a data-driven approach on AWS, improving forecast accuracy and operational efficiency.
A solid, connected, and governed data foundation is the starting point for AI to work with accuracy, scalability, and purpose.
Technological evolution is no longer about adopting isolated solutions, but about designing intelligent architectures capable of learning, anticipating, and operating autonomously.
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.
A renowned automotive company accelerated its digital transformation by migrating and modernizing its SAP S/4HANA environment on AWS, ensuring operational efficiency, scalability and cost savings.
The company improves its connectivity and resilience through an AWS-based network architecture.
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.
This strategy to optimize costs, increase resilience, and gain operational flexibility involves challenges that can jeopardize the expected benefits.
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.
A leading technology company modernized its development ecosystem with GitHub and Azure alongside Nubiral, reducing provisioning times and improving security.
Analytical solution designed to transform raw metrics into actionable insights for engineering teams and technical leadership.
The client needed to evolve their Gala chatbot so that end users could consume information from their centralized documentation platform.
Important bank in Colombia migrates from GitLab to GitHub Enterprise and trains its staff for efficient adoption.
Real process, quality, and collaboration indicators to understand whether this technology is generating concrete impact on teams and on the business.
A review of the meanings of each of these concepts, how they integrate with each other and what benefits they bring.
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.
Private bank implements comprehensive Observability solution with Nubiral to optimize and gain greater visibility of its Infrastructure health.
Improving data observability and security at a major bank with AWS OpenSearch.
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.
Company optimize its workloads in the cloud with a secure and scalable architecture on AWS.
It is the ideal framework for companies in the sector to innovate without compromising resilience or market trust.
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.
Chilean bank optimizes cybersecurity data analysis through advanced AWS services.
A major entertainment company improves the execution of change flows in its RPA infrastructure by 80% through automation with Azure DevOps.
Private bank implements comprehensive Observability solution with Nubiral to optimize and gain greater visibility of its Infrastructure health.
Real process, quality, and collaboration indicators to understand whether this technology is generating concrete impact on teams and on the business.
You don’t always need to start over: With the right strategy, legacy systems can stop being anchors that hold the business back and instead help move the organization toward the future.
This strategy to optimize costs, increase resilience, and gain operational flexibility involves challenges that can jeopardize the expected benefits.
Companies are effectively scaling the adoption of GitHub and Copilot. How to overcome challenges to turn development into an advantage.
Technological evolution is no longer about adopting isolated solutions, but about designing intelligent architectures capable of learning, anticipating, and operating autonomously.
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.
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.
La adopción de GitHub Copilot avanza con rapidez en muchas organizaciones, pero medir su verdadero impacto requiere más que revisar algunos dashboards. Exige una mirada más profunda, que integre en simultáneo métricas de negocio, de calidad y de colaboración.
La tentación de recurrir a indicadores fáciles, como cantidad de commits o frecuencia de pull requests, suele llevar a conclusiones equivocadas. En principio, porque “frecuencia” no siempre significa “eficiencia”. Del mismo modo, “más actividad” no es sinónimo, necesariamente, de “mayor adopción”.
En este artículo, profundizaremos sobre las opciones disponibles para entender si Copilot impacta en la aceleración o la calidad y ofreceremos consejos concretos para avanzar cuando los números no acompañan.
Una de las primeras señales a analizar es si los tiempos del ciclo de desarrollo mejoran. Métricas como Lead Time y Cycle Time permiten entender cuán rápido se toman los requerimientos, se desarrollan y finalmente llegan a producción. Cuando estas métricas bajan de manera sostenida, se puede inferir que Copilot está ayudando a acelerar la entrega.
Sin embargo, hacer las cosas más rápido no implica hacerlas mejor. Para evitar interpretaciones sesgadas, es clave complementar estos indicadores con otros que midan el impacto en la calidad del proceso. Aquí entra en juego el time to market, que muestra si estamos entregando valor más rápido. Pero ese valor debe mantenerse o mejorar, no degradarse en el camino. Por eso deben analizarse en paralelo otras métricas con foco en calidad.
Para validar si la velocidad generada por Copilot viene acompañada de calidad, es útil observar métricas como la cantidad y tipos de pruebas automatizadas, los niveles de quality gates y la evolución de los controles de seguridad.
Los quality gates son en particular muy relevantes: permiten ver cuán alta es la vara que la organización exige para que un código llegue a producción. Si su nivel mejora de forma sostenida sin frenar el ritmo de entregas, podemos tener la tranquilidad de que Copilot está agregando valor real.
Las métricas de disponibilidad del servicio también ayudan a evaluar la calidad del software en producción. La reducción del downtime, la menor frecuencia de caídas y un tiempo más corto para detectar y resolver incidentes son señales claras de que los equipos se están desarrollando de manera más robusta.
Un ejemplo concreto: en un cliente que enfrentaba problemas severos de calidad de código y un volumen alto de reclamos de usuarios finales, la adopción del framework de Copilot logró reducir esos tickets mensuales en un 90%. En ese caso, la métrica de éxito no fueron los commits ni la velocidad, sino la drástica reducción de fallas percibidas por el usuario.
Copilot afecta la productividad individual, es cierto, pero también la colaboración entre especialidades. Para evaluar su incidencia en este aspecto, conviene analizar los puntos de contacto entre equipos: cómo se generan las pruebas, cuándo se ejecutan los controles de seguridad, de qué manera se hacen los despliegues o rollbacks y cuánto tiempo se tarda en recuperar un servicio tras un incidente.
Estos puntos son bisagra en el ciclo de desarrollo y permiten entender si Copilot contribuye a mejorar la integración entre roles y equipos. Cuando la colaboración fluye mejor, las entregas tienden a ser más consistentes y previsibles.
A diferencia de otros procesos tecnológicos, no existe una fórmula universal para corregir desvíos en la adopción de Copilot. No hay un checklist mágico ni una lista de pasos garantizados. Lo que sí funciona es hacer un ejercicio retrospectivo profundo: revisar qué se hizo, qué no y escuchar tanto a líderes como a los perfiles más junior.
En muchos casos, los desvíos están más relacionados con capacitación insuficiente, métricas mal elegidas o expectativas poco realistas que con la herramienta en sí.
La IA no hace milagros: es una herramienta poderosa que requiere tiempo para integrarse a la cultura, a los productos y a las formas de trabajo.
En Nubiral acompañamos este proceso ayudando a definir métricas claras, detectar bloqueos y establecer prácticas de adopción progresiva para que Copilot genere impacto real.
Entender si GitHub Copilot genera valor real en una organización requiere mirar más allá de las métricas tradicionales.
Su adopción es un proceso que demanda aprendizaje, expectativas realistas y objetivos cortos y medibles. Con una mirada integral y una mejora continua bien guiada, puede convertirse en un habilitador clave para escalar calidad, productividad y valor de negocio.
¿Querés evaluar la adopción de Copilot en tu organización y entender dónde está generando impacto? Esperamos tu contacto: ¡Agenda tu reunión!
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Real process, quality, and collaboration indicators to understand whether this technology is generating concrete impact on teams and on the business.
You don’t always need to start over: With the right strategy, legacy systems can stop being anchors that hold the business back and instead help move the organization toward the future.
Companies are effectively scaling the adoption of GitHub and Copilot. How to overcome challenges to turn development into an advantage.
Real process, quality, and collaboration indicators to understand whether this technology is generating concrete impact on teams and on the business.
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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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