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.
This new generation of autonomous systems is beginning to redefine productivity, workflows, and decision-making in organizations that aim to scale without losing control.
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.
With the right strategies, organizations can accelerate the transition, minimize disruptions, and enable a more agile, future-ready environment.
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.
Between technical debt, cyber threats, and pressure to scale, technological postponement has become one of the main strategic risks for organizations.
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?
Between technical debt, cyber threats, and pressure to scale, technological postponement has become one of the main strategic risks for organizations.
This new generation of autonomous systems is beginning to redefine productivity, workflows, and decision-making in organizations that aim to scale without losing control.
GitHub Copilot transforms the developer experience, accelerates workflows, and redefines collaboration between human teams and AI capabilities integrated into the development flow.
With the right strategies, organizations can accelerate the transition, minimize disruptions, and enable a more agile, future-ready environment.
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.
This new generation of autonomous systems is beginning to redefine productivity, workflows, and decision-making in organizations that aim to scale without losing control.
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.
With the right strategies, organizations can accelerate the transition, minimize disruptions, and enable a more agile, future-ready environment.
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.
Between technical debt, cyber threats, and pressure to scale, technological postponement has become one of the main strategic risks for organizations.
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.
Between technical debt, cyber threats, and pressure to scale, technological postponement has become one of the main strategic risks for organizations.
This new generation of autonomous systems is beginning to redefine productivity, workflows, and decision-making in organizations that aim to scale without losing control.
GitHub Copilot transforms the developer experience, accelerates workflows, and redefines collaboration between human teams and AI capabilities integrated into the development flow.
With the right strategies, organizations can accelerate the transition, minimize disruptions, and enable a more agile, future-ready environment.
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.
Siguiendo los principios ágiles de DevOps, esta metodología busca optimizar la gestión de datos, mejorar la calidad de los análisis y alinear las soluciones de datos con las necesidades del negocio.
Se habla mucho de DevOps, que permite integrar las tareas de desarrollo de software y operaciones para acelerar la puesta en producción de las nuevas aplicaciones. En esta misma línea y apoyándose en principios similares, emerge con fuerza creciente un nuevo concepto: DataOps.
Se trata de una metodología ágil y orientada a procesos que tiene como objetivo generar una mayor eficiencia en la generación de valor y en la creación de análisis a partir de los datos. Para eso, combina equipos de desarrollo, de datos (incluyendo científicos e ingenieros de datos) y de operaciones para que:
– Puedan trabajar de manera colaborativa y automatizada.
– Unifiquen herramientas, procesos y estructuras en uso.
– Ayuden a que la organización avance en su camino hacia el modelo data driven.
Entre otros beneficios, DataOps mejora la calidad de los análisis y los resultados, apoya las iniciativas de inteligencia artificial (cuya materia prima son, precisamente, los datos de buena calidad), permite un mayor alineamiento entre las mejoras implementadas y los objetivos de negocios y reduce los costos de gestión de esos datos.
Hoy, los datos son el activo estratégico de las organizaciones: constituyen la clave para obtener ventajas competitivas, ofrecer la mejor experiencia para los clientes, optimizar las operaciones, incrementar la productividad, promover la innovación y elevar la satisfacción y la retención del talento.
No se trata solo de acumular datos, sino de definir las estrategias de gestión, protección y almacenamiento para garantizar que todos tengan acceso a la misma información en todo momento.
En ese sentido, una empresa es data driven cuando logra apoyar todos sus procesos de decisión en datos y deja de lado mecanismos y variables “tradicionales” como la intuición o miradas sesgadas del mercado.
Tal como lo hace DevOps, la base del concepto de DataOps se inspira en las metodologías ágiles: se valora la entrega continua y eficiente de productos analíticos, se apuesta a la prueba y el error y se consideran múltiples iteraciones hasta aproximarse al resultado deseado.
Existe un Manifiesto de DataOps, que afirma que los equipos “valoran los análisis que funcionan, midiendo su rendimiento por la información que proporcionan” y que “adoptan el cambio y buscan comprender constantemente las necesidades cambiantes de los clientes”.
El estilo de trabajo DataOps busca romper estructuras aisladas o armadas en silos, que suelen ser rígidas y lentas -cuando no un obstáculo insalvable- para dar respuesta al ritmo que se requiere en tiempo de big data, inteligencia artificial, machine learning, internet de las cosas y otras necesidades relacionadas con la transformación digital que sean altamente intensivas en términos de uso de datos.
Por eso, los equipos suelen ser interdisciplinarios, con expertos en operaciones, ingeniería de software, ciencia de datos o gestión y planificación, y también -idealmente- tienden a atravesar diferentes sectores de la organización.
DataOps se parece a DevOps en cuanto a las formas: en ambos casos, los equipos necesitan trabajar de manera integrada para analizar el problema en su conjunto. Y en el caso puntual de DataOps, esto significa replantear el flujo de procesamiento de datos desde el momento en que son capturados o creados hasta el instante en que son utilizados.
Entre las diferencias entre ambas metodologías, podemos mencionar que DataOps tiene el potencial de afectar a la organización en su conjunto -hoy por hoy, todas las áreas dependen de los datos-, y que incluso es el camino para acelerar la visión data driven.
Las empresas acumulan cada vez más datos en la medida que avanzan en sus procesos de transformación digital. Los científicos e ingenieros de datos son idóneos para estructurar modelos que permitan obtener valor de esos datos. Y los responsables de operaciones son los que entienden que le hace falta al negocio para cumplir sus objetivos. DataOps se ocupa de combinar los mejores elementos de todos esos mundos para convertir los datos en inteligencia para la organización.
En Nubiral somos expertos en el desarrollo de soluciones tecnológicas a la medida de tus necesidades. Contáctanos y conoce nuestros servicios.
Between technical debt, cyber threats, and pressure to scale, technological postponement has become one of the main strategic risks for organizations.
GitHub Copilot transforms the developer experience, accelerates workflows, and redefines collaboration between human teams and AI capabilities integrated into the development flow.
Real process, quality, and collaboration indicators to understand whether this technology is generating concrete impact on teams and on the business.
Between technical debt, cyber threats, and pressure to scale, technological postponement has become one of the main strategic risks for organizations.
Online event about agile methodologies, their approaches and their importance in the work dynamics of any company.
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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