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.
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.
The Master Data Optimization solution uses Machine Learning to automate the creation, remediation and continuous maintenance of master databases.
Virtual health channel that uses cognitive technologies such as artificial intelligence, in order to optimize and speed up the times of health institutions.
Discover the technological disruption that allows you to take your business to a new level and achieve maximum productivity.
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.
This important Argentine energy company chose Nubiral to obtain high-level support for its Oracle solutions and an advanced monitoring system for its critical IT assets.
A single platform and a single visualization to gain efficiency when managing the more than 1,600 devices of this energy company with a solid presence in Latin America and more than 100 years in the industry.
This leading Colombian company in the hydrocarbon transportation and logistics industry is now able to respond quickly to the demands of a fast-moving market.
The implementation of Microsoft Fabric enables this company in charge of coordinating the generation, transmission and distribution of power in Argentina to capitalize on the value of its data and even generate new monetization alternatives.
Digitization of banks and fintech with technologies such as AI, automation and customer experience is key to greater financial inclusion.
A guide for financial firms to discover the power of this new technology to optimize their fraud detection strategies.
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 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.
The smooth migration of Toyota to AWS unleashes performance, cost efficiency, and user satisfaction.
A tool that offers flexibility, scalability and efficiency, and could become the keystone to take your business to a new level.
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.
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.
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.
Migration and Configuration of GitHub Enterprise Server for a major financial group, focused on modernizing its on-premise CI/CD structure.
A leading telecommunications company modernizes its applications to respond more quickly and agilely to market changes.
This powerful tool constitutes a complete ecosystem that boosts efficiency and collaboration in all aspects of the software development cycle.
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 addition to anticipating and preventing IT infrastructure problems that impact the business, this strategy is key to boosting the user experience.
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.
Mitigating risks linked to cyberattacks and protecting data is essential to survive and lead in the current era of digital transformation.
Downgrade: Keys for organizations to ensure compliance, build a good reputation and properly manage risks.
How to develop a cybersecurity plan? Which are the main threats? Which are the best and most modern technologies to face these threats?
Digitization of banks and fintech with technologies such as AI, automation and customer experience is key to greater financial inclusion.
Fine-tuning in Generative AI is a process that allows users to customize pre-trained foundational models and adjust them to an organization’s specific data.
The successful and careful migration of data to Microsoft Fabric on the Azure platform allows maximizing the use of data for business benefit.
In addition to anticipating and preventing IT infrastructure problems that impact the business, this strategy is key to boosting the user experience.
Downgrade: Keys for organizations to ensure compliance, build a good reputation and properly manage risks.
A guide for financial firms to discover the power of this new technology to optimize their fraud detection strategies.
How to quickly and easily create your own Copilot and Generative AI applications.
Discover the potential of digital transformation with Generative AI.
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.
The project focuses on implementing a private blockchain platform to improve transparency, security, and efficiency in deployment and development processes.
Improvement in patient care times and reduction in administrative staff dedication costs for routine tasks.
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.
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.
The Master Data Optimization solution uses Machine Learning to automate the creation, remediation and continuous maintenance of master databases.
Virtual health channel that uses cognitive technologies such as artificial intelligence, in order to optimize and speed up the times of health institutions.
Discover the technological disruption that allows you to take your business to a new level and achieve maximum productivity.
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.
This important Argentine energy company chose Nubiral to obtain high-level support for its Oracle solutions and an advanced monitoring system for its critical IT assets.
A single platform and a single visualization to gain efficiency when managing the more than 1,600 devices of this energy company with a solid presence in Latin America and more than 100 years in the industry.
This leading Colombian company in the hydrocarbon transportation and logistics industry is now able to respond quickly to the demands of a fast-moving market.
The implementation of Microsoft Fabric enables this company in charge of coordinating the generation, transmission and distribution of power in Argentina to capitalize on the value of its data and even generate new monetization alternatives.
Digitization of banks and fintech with technologies such as AI, automation and customer experience is key to greater financial inclusion.
A guide for financial firms to discover the power of this new technology to optimize their fraud detection strategies.
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 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.
The smooth migration of Toyota to AWS unleashes performance, cost efficiency, and user satisfaction.
A tool that offers flexibility, scalability and efficiency, and could become the keystone to take your business to a new level.
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.
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.
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.
Migration and Configuration of GitHub Enterprise Server for a major financial group, focused on modernizing its on-premise CI/CD structure.
A leading telecommunications company modernizes its applications to respond more quickly and agilely to market changes.
This powerful tool constitutes a complete ecosystem that boosts efficiency and collaboration in all aspects of the software development cycle.
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 addition to anticipating and preventing IT infrastructure problems that impact the business, this strategy is key to boosting the user experience.
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.
Mitigating risks linked to cyberattacks and protecting data is essential to survive and lead in the current era of digital transformation.
Downgrade: Keys for organizations to ensure compliance, build a good reputation and properly manage risks.
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.
The project focuses on implementing a private blockchain platform to improve transparency, security, and efficiency in deployment and development processes.
Improvement in patient care times and reduction in administrative staff dedication costs for routine tasks.
Private bank implements comprehensive Observability solution with Nubiral to optimize and gain greater visibility of its Infrastructure health.
Digitization of banks and fintech with technologies such as AI, automation and customer experience is key to greater financial inclusion.
Fine-tuning in Generative AI is a process that allows users to customize pre-trained foundational models and adjust them to an organization’s specific data.
The successful and careful migration of data to Microsoft Fabric on the Azure platform allows maximizing the use of data for business benefit.
In addition to anticipating and preventing IT infrastructure problems that impact the business, this strategy is key to boosting the user experience.
Downgrade: Keys for organizations to ensure compliance, build a good reputation and properly manage risks.
A guide for financial firms to discover the power of this new technology to optimize their fraud detection strategies.
How to quickly and easily create your own Copilot and Generative AI applications.
Discover the potential of digital transformation with Generative AI.
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.
Los que estamos en el mundo de la tecnología sabemos que AWS ofrece una amplia variedad de soluciones para resolver los desafíos de los clientes. Por eso, no debería sorprendernos que en el reciente evento anual AWS re:Invent 2024 se haya ofrecido una cantidad impresionante de sesiones. ¡Más de 2.000 en tan solo cuatro días.
Navegar ese océano de información es una tarea titánica, abrumadora. Por eso, decidimos armar esta lectura rápida con los puntos clave para entender el rumbo de AWS para el año que comienza.
La temática recurrente y transversal fue, como se esperaba, la IA generativa. Estuvo presente en prácticamente todas las charlas, sesiones y stands. O era el tema central o, en algún momento, el tema que se tratara se vinculaba con la IA generativa. Generalmente, con una pregunta del estilo: ¿Cómo puedo hacer esto de manera más eficiente con IA Generativa?
Hasta la propia aplicación del evento (para quienes nunca fueron, te permite armar un cronograma personalizado de actividades) la usaba para sugerir charlas en base a las preferencias del usuario.
Más allá de esto, AWS dejó muy en claro a dónde apunta en los próximos años. A continuación destacaremos algunos aspectos claves.
Hace años que los datos son tratados como un activo valioso. Pero en AWS re:invent 2024 aparece una novedad. Que AWS busca alinear su stack de servicios y soluciones para que sus clientes almacenen, cataloguen, preparen y exploten sus datos. Todo de manera sencilla y con modelos de ML, AI y GenAI.
Así lo mostraron los anuncios a lo largo del evento. Arrancamos por el más bajo nivel de abstracción: los chips.
– AWS Trainium2 instances. Están detrás de instancias EC2 pensadas para lograr alta performance en el entrenamiento basado en deep learning para modelos de GenAI. Además, los clientes con necesidades de correr modelos de GenAI de alta demanda y alta carga, tendrán los Trn2 UltraServers que permite interconectar servidores Trn2 en un gran servidor y escalar la carga de trabajo en 64 chips Trainium2.
– Trainium3 chips. Si bien están anunciadas las instancias EC2 de Trainium2, próximamente estarán disponibles los chips Trainium3, evolución de la generación actual, con la promesa de mejor performance, baja latencia, capacidad de correr modelos más grandes y mejor rendimiento en tiempo real.
AWS busca facilitar y hacer más sustentable y accesible el entrenamiento, el fine tunning y las inferencias de grandes modelos de IA. Las arquitecturas de los chips y de las instancias están diseñadas para entrenar modelos más grandes de manera más eficiente.
En AWS re:invent 2024 también hubo anuncios respecto a la capa de almacenamiento y preparación de datos para su uso en cargas de trabajo de analítica e IA.
Al popular servicio de almacenamiento S3 se agregaron dos nuevas capacidades muy interesantes para cualquier carga de analítica (tanto tradicional como avanzada).
– S3 Tables. Diseñado para brindar almacenamiento optimizado para datos tabulares (transacciones, datos de sensores, etc.) en formato Apache Iceberg. Este se ha convertido en una de las formas más populares de manejar archivos en parquet, formato que permite hacer querys incluso sobre exabytes de datos.
– S3 Metadata. Permite encontrar, almacenar y consultar fácilmente metadatos de tus objetos en S3. Así, se pueden preparar rápidamente datos para su uso en análisis de negocios, recuperación de contenido, entrenamiento de modelos de inteligencia artificial y ML.
En cuanto al nivel de base de datos, tanto los anuncios de Aurora DSQL como DynamoDB Global Tables estuvieron alineados en la misma dirección. Facilitar y robustecer las soluciones que requieran procesamiento distribuido de SQL, con consistencia fuerte de almacenamiento y lectura.
En conclusión, los features anunciados apuntan a dar mayor flexibilidad, simplicidad, escalabilidad y robustez a la capa de almacenamiento. También a mejorar la generación y el manejo de la metadata y facilitar el acceso.
Todo esto, con el objetivo de simplificar el desarrollo de soluciones de analítica tradicional y avanzada. Y de dar más herramientas a científicos de datos e ingenieros de ML para desarrollar soluciones basadas en AI y ML.
SageMaker AI se anunció como la evolución del servicio homónimo. Una plataforma para el desarrollo y ajustes de modelos de ML, AI y GenAI (particularmente el fine tunning de modelos fundacionales).
SageMaker pasa a ser el conjunto de servicios que de manera holística permiten a los clientes completar las actividades relativas al desarrollo de modelos de ML en una plataforma integrada.
Se agregaron funcionalidades que apuntan a que se pueda comenzar más rápidamente con modelos populares de acceso público y mejoras para maximizar la eficiencia del entrenamiento y reducir costos.
Se anunciaron avances para Amazon SageMaker HyperPod, que permite escalar el desarrollo de modelos generativos con la promesa de reducir el tiempo de entrenamiento de modelos base hasta en un 40%.
Por último, se anunciaron SageMaker Unified Studio, SageMaker Catalog, SageMaker Lakehouse, y Zero-ETL integrations con aplicaciones SaaS. ¿El objetivo? Dar más capacidades a quienes necesitan hacer analítica con SQL e integraciones en grandes volúmenes de datos.
Amazon Bedrock será el servicio a través del cual se hará la etapa de inferencia de modelos generativos. Se disponibilizó un amplio catálogo de modelos fundacionales entre los cuales se pueden elegir los que mejor sirvan a cada necesidad.
Otros anuncios apuntan a facilitar la puesta en producción a gran escala de soluciones basadas en modelos de GenAI. Para esto, se puso énfasis en el manejo de prompts a escala, mejoras y más funcionalidades para las bases de conocimiento (por ejemplo facilitando GraphRAG) y guardrails (salvaguardas). Pero además, se anunciaron tres aspectos clave:
– Automated Reasoning checks. Mecanismo para validar matemáticamente el razonamiento detrás de una respuesta de un modelo generativo y evitar respuestas incorrectas o alucinaciones.
– Model Distillation. Técnica para transferir conocimiento de un modelo grande a otro más pequeño, manteniendo la performance. Si bien los ingenieros de ML la utilizan frecuentemente, Bedrock disponibiliza el mecanismo para hacerlo simple.
– Expansión de Amazon Bedrock Agents. Se expande el soporte para arquitecturas multiagente para crear soluciones en base a la coordinación y orquestración de agentes para resolver problemas complejos.
Hasta el momento, a través de Bedrock se podían construir soluciones con una gran variedad de modelos, ninguno de los cuales era desarrollado por AWS. Nova posiciona a AWS como un nuevo proveedor de modelos de GenAI.
La última capa, la de los desarrolladores y los usuarios finales, también tuvo sus anuncios muy importantes en AWS re:invent 2024.
– Amazon Q Developer. Si bien no es un servicio nuevo, algunos anuncios son clave para entender hacia donde apunta AWS. Por ejemplo, los modelos y agentes enfocados en migraciones de aplicaciones Windows. Apuntan a facilitar y dar velocidad a estos procesos para que puedan correr en sistemas operativos Linux. Esto se suma a las capacidades de modernización posmigraciones para llevar a servicios serverless. Así, nos da un conjunto de herramientas simples para migrar y modernizar aplicaciones legadas a ecosistemas sin servidores. También se anunció una funcionalidad que facilita aún más el desarrollo de modelos de ML gracias a asistentes de generación de código.
– Amazon Q Business. Entre los varios anuncios destacan las mejoras para Quicksight y las integraciones con bases de conocimiento de manera simple. Estas dos funcionalidades permitirán a usuarios finales no técnicos desarrollar soluciones y agentes que podrán acceder a información analítica en Quicksight. También podrán interactuar en lenguaje natural para obtener nuevos insights. En cuanto a las bases de conocimiento, será muy simple integrarse con fuentes de conocimiento múltiples y acceder a información contenida en documentos.
En AWS re:invent 2024 quedó en claro que AWS apunta a proveer un entorno holístico, completo y con muchas opciones para explotar al máximo los datos y los modelos de ML y GenAI.
Así fue toda la narrativa, todos los aspectos del evento y todos los anuncios, siempre atravesados por IA como temática principal. AWS apuesta fuerte y este es apenas el comienzo.
¿Te interesa conocer cómo todas estas novedades anunciadas por AWS pueden impactar en tu organización? Tenemos un equipo de expertos que puede ayudarte: ¡Agenda tu reunión!
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Digitization of banks and fintech with technologies such as AI, automation and customer experience is key to greater financial inclusion.
Fine-tuning in Generative AI is a process that allows users to customize pre-trained foundational models and adjust them to an organization’s specific data.
The successful and careful migration of data to Microsoft Fabric on the Azure platform allows maximizing the use of data for business benefit.
Digitization of banks and fintech with technologies such as AI, automation and customer experience is key to greater financial inclusion.
Specialists in Sustainability and Business discuss the environmental problems that affect our daily lives, in addition with the benefits that the preservation of natural resources bring to companies.
A guide for companies to start capitalizing on their investments in new technologies now.
A guide for financial firms to discover the power of this new technology to optimize their fraud detection strategies.
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