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Amazon MSK enables seamless certificate renewals on MSK Provisioned clusters

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now provides seamless certificate renewal for all MSK Provisioned clusters, allowing the brokers in your cluster to receive the most up-to-date encryption certificates without going through a restart. The encryption certificates used by Amazon MSK require renewal every 13 months. With this launch, certificate renewals on Amazon MSK Provisioned clusters now occur seamlessly without disruption to client connectivity.

This feature is available in all AWS Regions where MSK Provisioned is supported. To learn more, visit the Amazon MSK Developer Guide.
 

 

​Amazon Managed Streaming for Apache Kafka (Amazon MSK) now provides seamless certificate renewal for all MSK Provisioned clusters, allowing the brokers in your cluster to receive the most up-to-date encryption certificates without going through a restart. The encryption certificates used by Amazon MSK require renewal every 13 months. With this launch, certificate renewals on Amazon MSK Provisioned clusters now occur seamlessly without disruption to client connectivity. This feature is available in all AWS Regions where MSK Provisioned is supported. To learn more, visit the Amazon MSK Developer Guide.    

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Amazon EC2 R7g instances are now available in additional AWS regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7g instances are available in AWS Middle East (UAE), Canada West (Calgary), Europe (Paris, Zurich), Asia Pacific (Jakarta, Osaka), and Israel (Tel Aviv) Regions. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage.

Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS).

To learn more, see Amazon EC2 R7g. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7g instances are available in AWS Middle East (UAE), Canada West (Calgary), Europe (Paris, Zurich), Asia Pacific (Jakarta, Osaka), and Israel (Tel Aviv) Regions. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage. Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS). To learn more, see Amazon EC2 R7g. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.  

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Amazon Managed Service for Prometheus now available in the AWS Canada (Central) Region

Amazon Managed Service for Prometheus is now available in the AWS Canada (Central) region. Amazon Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring service that makes it easy to monitor and alarm on operational metrics at scale.

The list of all supported regions where Amazon Managed Service for Prometheus is generally available can be found on the user guide. Customers can send up to 1 billion active metrics to a single workspace and can create many workspaces per account, where a workspace is a logical space dedicated to the storage and querying of Prometheus metrics.

To learn more about Amazon Managed Service for Prometheus collector, visit the user guide or product page.
 

 

​Amazon Managed Service for Prometheus is now available in the AWS Canada (Central) region. Amazon Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring service that makes it easy to monitor and alarm on operational metrics at scale. The list of all supported regions where Amazon Managed Service for Prometheus is generally available can be found on the user guide. Customers can send up to 1 billion active metrics to a single workspace and can create many workspaces per account, where a workspace is a logical space dedicated to the storage and querying of Prometheus metrics. To learn more about Amazon Managed Service for Prometheus collector, visit the user guide or product page.    

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Crear mejores resultados sanitarios con Azure OpenAI Service y Azure AI Foundry

mayo 7, 2025

Crear mejores resultados sanitarios con Azure OpenAI Service y Azure AI Foundry

Una mujer con bata blanca sostiene una tableta y habla por teléfono

Por: Olivia Shone, directora sénior de marketing de productos de IA de Azure.

La industria de la salud ha estado de manera constante a la vanguardia de los avances tecnológicos, busca de manera continua formas de mejorar la atención y los resultados de los pacientes. En los últimos años, la integración de la IA en la atención sanitaria ha abierto nuevas vías para la innovación y la eficiencia. Azure OpenAI Service es uno de los principales contribuyentes a esta transformación, ya que permite a los proveedores de atención sanitaria crear mejores resultados a través de funcionalidades de IA avanzadas, como Azure AI Content Safety, que ayuda a mantener el contenido seguro mediante la supervisión del contenido con modelos avanzados de lenguaje y visión.

A continuación, analizamos algunos proveedores de atención médica que han adoptado con éxito Azure OpenAI Service para ahorrar tiempo, optimizar los flujos de trabajo y aumentar el enfoque en los pacientes.

Creación de soluciones personalizadas de IA generativa con Azure OpenAI Service

Kry reduce las tareas administrativas y aumenta el enfoque en la atención al paciente

En el panorama de la transformación digital, que evoluciona con rapidez, las empresas de atención médica como Kry están a la vanguardia de la adopción de tecnologías avanzadas para agilizar las tareas administrativas y permitir que los profesionales médicos se centren más en la atención al paciente. Con más de 200 millones de interacciones con pacientes hasta la fecha, Kry se ha convertido en el mayor proveedor de atención médica digital de Europa, con una alta calificación de satisfacción del paciente de 4,8 sobre 5,0.

Al asociarse con Azure OpenAI Service, Kry aprovecha la IA generativa para revolucionar el acceso de los pacientes a la atención médica. El resultado ha reducido las cargas administrativas de los médicos, optimizado los recursos sanitarios y mejorado la calidad general de la atención al paciente. Al analizar los datos de los pacientes y permitirles elegir el tipo de atención médica que necesitan (como una videoconsulta, consejos de autocuidado, fisioterapia y otros servicios), Kry guía de manera eficiente a los pacientes entre la atención primaria, urgente y secundaria para emparejarlos con los proveedores médicos más adecuados. Cabe destacar que el 60% de los pacientes de Kry son mujeres. Con Kry, se benefician de mejores servicios de salud femenina y de contenidos médicos de calidad.

La asociación entre Kry y Azure OpenAI Service resuelve las ineficiencias en la prestación de atención médica y cambia el futuro de la atención médica para mejor. A medida que la tecnología avanza y la IA continúa su evolución, el compromiso de Kry de aprovechar las soluciones de vanguardia ayudará a garantizar una experiencia de atención médica más accesible, sostenible y eficiente tanto para los pacientes como para los profesionales de la salud.

Diseño y administración de aplicaciones y agentes de IA con Azure AI Foundry

Ontada desbloqueó 150 millones de documentos médicos no estructurados con Azure OpenAI Service

Los sistemas sanitarios de todo el mundo se enfrentan a un reto acuciante relacionado con los datos: cómo desbloquear el contenido de volúmenes de datos sanitarios no estructurados e inaccesibles, como notas clínicas, informes de laboratorio, imágenes médicas y datos operativos. Con el conocimiento de que cada punto de datos puede marcar una diferencia que cambie la vida de los pacientes con cáncer, Ontada, una empresa de McKesson dedicada a los datos y la evidencia oncológica, necesitó analizar 150 millones de documentos oncológicos no estructurados para generar información clave para los pacientes con cáncer. Cuando se realiza de manera manual, este proceso requiere mucho tiempo, es prohibitivo y propenso a errores.

Ontada eligió Azure AI Document Intelligence y Azure OpenAI Service para implementar modelos de lenguaje que se dirigen a casi 100 elementos de datos oncológicos críticos en 39 tipos de cáncer. El resultado aumentó de manera significativa su capacidad para extraer con rapidez datos importantes y detalles clínicos. También desarrollaron una novedosa solución de plataforma de datos llamada ON. Genuity que combina datos estructurados y no estructurados para proporcionar una visión completa de la información del paciente, para mejorar el desarrollo de fármacos y la adopción de tratamientos. Usan Azure Databricks para que su canalización de datos procese ambos tipos de datos, así como Azure AI Document Intelligence para extraer texto de archivos PDF y otros documentos. La plataforma puede aprovisionar y analizar datos en menos de 45 minutos. Como resultado, pudieron procesar 150 millones de documentos en tres semanas y redujeron el tiempo de procesamiento en un 75%. Por medio de la IA de Microsoft Azure, Ontada ya ha acelerado el desarrollo de sus productos de ciencias de la vida, lo que ha acelerado el tiempo de comercialización de meses a solo una semana.

Extracción de datos sencilla y segura con Azure AI Document Intelligence

Shriners Children’s implementa soluciones más eficientes y seguras

La información utilizada por los profesionales de la salud para diagnosticar y tratar a los pacientes a menudo se almacena en sistemas obsoletos que pueden no ser muy seguros o fáciles de operar. Pero para que los médicos traten a los pacientes con prontitud, necesitan soluciones eficientes que minimicen los errores. Antes, Shriners Children’s tenía que confiar en su equipo de análisis para proporcionar información a partir de las notas clínicas y el historial de los pacientes, que a menudo estaban desactualizados o incluso escritos a mano, lo que dificultaba su uso. Este proceso consumía mucho tiempo, era ineficiente y propenso a errores.

Para solucionar este proceso, Shriners Children’s implementó una plataforma de IA que utiliza Azure OpenAI Service y Azure AI Search para alojar y organizar de forma segura los datos de los pacientes. Ahora, los médicos pueden navegar de forma fácil y segura por los datos de los pacientes en una sola ubicación. La solución, llamada ShrinersGPT, aprovecha Azure OpenAI Service además de Azure Blob Storage, Azure AI Search y Azure Monitor Log Analytics, para crear una experiencia fluida y fácil de usar para que los médicos accedan a la información del paciente.

Esta solución es más eficiente y segura; los médicos ahora pueden encontrar con rapidez los síntomas y las afecciones de los pacientes sin depender del equipo de análisis, y los datos se almacenan de forma más segura y solo el personal autorizado puede acceder a ellos. Quizás lo más importante es que la atención al paciente mejora a través de un mejor acceso a los datos, lo que ayuda a crear planes de tratamiento bien informados.

Ofrezcan respuestas relevantes con Azure AI Search

Además, Shriners Children’s ahora está configurado para escalar con facilidad, ya que buscan incorporar la plataforma de análisis de datos Microsoft Fabric dentro de su solución ShrinersGPT. Microsoft Fabric cuenta con un conjunto completo de experiencias de análisis diseñadas para funcionar juntas sin problemas para obtener mejores perspectivas de datos, de modo que los médicos e investigadores de Shriners puedan adaptar la información según sea necesario. También buscan expandirse a otras clínicas de atención médica en su ecosistema y planean mejorar el chatbot para responder a una variedad más amplia de preguntas de salud.

Desde la mejora de la atención al paciente y la simplificación de las tareas administrativas hasta la aceleración de la investigación médica y la mejora de la precisión del diagnóstico, Azure AI ayuda a impulsar la innovación y la eficiencia en la atención sanitaria, lo que crea mejores resultados tanto para los pacientes como para los cuidadores.

Nuestro compromiso con la IA confiable

Las organizaciones de todos los sectores aprovechan las capacidades de Azure AI y Microsoft 365 Copilot para impulsar el crecimiento, aumentar la productividad y crear experiencias de valor agregado.

Nos comprometemos a ayudar a las organizaciones a usar y crear una IA que sea confiable, es decir, que sea segura, privada y segura. Aportamos las mejores prácticas y aprendizajes de décadas de investigación y creación de productos de IA a escala para proporcionar compromisos y capacidades líderes en la industria que abarcan nuestros tres pilares de seguridad, privacidad y protección. Una IA confiable solo es posible cuando se combinan nuestros compromisos, como nuestra Iniciativa de Futuro Seguro y nuestros principios de IA Responsable, con las capacidades de nuestros productos para desbloquear la transformación de la IA con confianza.

Más información sobre Azure OpenAI Service

Introducción a Azure AI

The post Crear mejores resultados sanitarios con Azure OpenAI Service y Azure AI Foundry appeared first on Source LATAM.

 

​The post Crear mejores resultados sanitarios con Azure OpenAI Service y Azure AI Foundry appeared first on Source LATAM.  

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Amazon EC2 Flex larger instance sizes are now available in AWS Asia Pacific (Seoul) Region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) Flex instances (C7i-flex, M7i-flex) larger sizes are available in Asia Pacific (Seoul) region. The new sizes (12xlarge, 16xlarge) expand the EC2 Flex portfolio, providing additional compute options to scale-up existing workloads or run larger sized applications that need additional memory. These instances are powered by custom 4th Gen Intel Xeon Scalable processors, that are available only on AWS, and offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.

Flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose and compute intensive workloads. They deliver up to 19% better price performance than comparable previous generation instances and are a great first choice for applications that do not fully utilize the compute resources. Flex instances are ideal for web and application servers, batch processing, enterprise applications, databases, and more. For compute-intensive and general-purpose workloads that need even larger instance sizes (up to 192 vCPUs and 768 GiB memory) or continuous high CPU usage, you can leverage Amazon EC2 C7i and M7i instances.

To learn more, visit Amazon EC2 C7i-flex and M7i-flex instance pages.
 

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) Flex instances (C7i-flex, M7i-flex) larger sizes are available in Asia Pacific (Seoul) region. The new sizes (12xlarge, 16xlarge) expand the EC2 Flex portfolio, providing additional compute options to scale-up existing workloads or run larger sized applications that need additional memory. These instances are powered by custom 4th Gen Intel Xeon Scalable processors, that are available only on AWS, and offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. Flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose and compute intensive workloads. They deliver up to 19% better price performance than comparable previous generation instances and are a great first choice for applications that do not fully utilize the compute resources. Flex instances are ideal for web and application servers, batch processing, enterprise applications, databases, and more. For compute-intensive and general-purpose workloads that need even larger instance sizes (up to 192 vCPUs and 768 GiB memory) or continuous high CPU usage, you can leverage Amazon EC2 C7i and M7i instances. To learn more, visit Amazon EC2 C7i-flex and M7i-flex instance pages.    

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Amazon WorkSpaces is now available in AWS Europe (Paris) Region

Amazon Web Services has announced availability of Amazon WorkSpaces Personal, WorkSpaces Pools and WorkSpaces Core in the AWS Europe (Paris) Region. You can now provision WorkSpaces closer to your users, helping to provide in-country data residency and a more responsive experience. Additionally, you can quickly add or remove WorkSpaces to meet changing demand, without the cost and complexity of on-premises Virtual Desktop Infrastructure (VDI).

Amazon WorkSpaces is a fully managed virtual desktop infrastructure (VDI) service that helps organizations provide end users access to applications and data while optimizing costs and improving productivity. WorkSpaces gives organizations the flexibility to choose between highly configurable virtual desktops for workers that need access to a consistent, personalized environment each time they log in or pools of virtual desktops shared across a group of users to help reduce costs.

To get started, sign in to the Amazon WorkSpaces Management Console and select Europe (Paris) Region. For the full list of Regions where WorkSpaces is available, see the AWS Region Table. For pricing details, visit the WorkSpaces Pricing page.

 

​Amazon Web Services has announced availability of Amazon WorkSpaces Personal, WorkSpaces Pools and WorkSpaces Core in the AWS Europe (Paris) Region. You can now provision WorkSpaces closer to your users, helping to provide in-country data residency and a more responsive experience. Additionally, you can quickly add or remove WorkSpaces to meet changing demand, without the cost and complexity of on-premises Virtual Desktop Infrastructure (VDI). Amazon WorkSpaces is a fully managed virtual desktop infrastructure (VDI) service that helps organizations provide end users access to applications and data while optimizing costs and improving productivity. WorkSpaces gives organizations the flexibility to choose between highly configurable virtual desktops for workers that need access to a consistent, personalized environment each time they log in or pools of virtual desktops shared across a group of users to help reduce costs. To get started, sign in to the Amazon WorkSpaces Management Console and select Europe (Paris) Region. For the full list of Regions where WorkSpaces is available, see the AWS Region Table. For pricing details, visit the WorkSpaces Pricing page.  

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Amazon SageMaker adds support for three new data sources

Amazon SageMaker now supports direct connectivity to Oracle, Amazon DocumentDB, and Microsoft SQL Server databases, expanding the available data integration capabilities in Amazon SageMaker Lakehouse. This enhancement enables customers to seamlessly access and analyze data from these databases.

With these new data source connections, customers can directly query data and build ETL flows from their Oracle, Amazon DocumentDB, and Microsoft SQL Server databases. This integration simplifies data and AI/ML workflows by allowing you to work with your data alongside AWS data, analytics and AI capabilities.

Support for these new data sources is available in all AWS Regions where Amazon SageMaker Unified Studio is available. For the most up-to-date information about regional availability, visit the AWS Region table.

To learn more about connecting to data sources in Amazon SageMaker Lakehouse, visit the documentation.

 

​Amazon SageMaker now supports direct connectivity to Oracle, Amazon DocumentDB, and Microsoft SQL Server databases, expanding the available data integration capabilities in Amazon SageMaker Lakehouse. This enhancement enables customers to seamlessly access and analyze data from these databases. With these new data source connections, customers can directly query data and build ETL flows from their Oracle, Amazon DocumentDB, and Microsoft SQL Server databases. This integration simplifies data and AI/ML workflows by allowing you to work with your data alongside AWS data, analytics and AI capabilities. Support for these new data sources is available in all AWS Regions where Amazon SageMaker Unified Studio is available. For the most up-to-date information about regional availability, visit the AWS Region table. To learn more about connecting to data sources in Amazon SageMaker Lakehouse, visit the documentation.  

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Amazon EC2 R7g instances are now available in AWS GovCloud (US-East)

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7g instances are available in the AWS GovCloud (US-East) Region. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage.

Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS).

To learn more, see Amazon EC2 R7g. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS GovCloud (US) Console.

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7g instances are available in the AWS GovCloud (US-East) Region. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage. Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS). To learn more, see Amazon EC2 R7g. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS GovCloud (US) Console.  

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Amazon SageMaker Catalog introduces authorization policy for asset type usage

Amazon SageMaker Catalog, part of the next generation of SageMaker, now supports authorization policies for asset type (template) usage — a new governance capability that gives organizations fine-grained control over who can create and manage custom assets using specific asset type. In large enterprises, teams often define business specific asset templates (such as ClinicalStudyAsset or FinancialReportAsset) to standardize how data is structured, cataloged for discovery, and governed across the organization.

With this authorization policy-based control, organizations can enforce usage boundaries, allowing administrators to restrict the use of sensitive or proprietary templates to only authorized projects and users. For example, a life sciences organization admin can ensure that only R&D teams can use ClinicalStudyAsset asset types to publish clinical trial datasets, while a financial services firm can limit FinancialReportAsset asset types to audit or compliance teams. This streamlines asset creation while reducing duplication, preventing mismanagement, and maintaining governance boundaries across business units—ensuring that sensitive templates are used only by the right users in a secure and compliant manner.

Learn more about how to assign authorization policies to asset types in our product documentation.

 

​Amazon SageMaker Catalog, part of the next generation of SageMaker, now supports authorization policies for asset type (template) usage — a new governance capability that gives organizations fine-grained control over who can create and manage custom assets using specific asset type. In large enterprises, teams often define business specific asset templates (such as ClinicalStudyAsset or FinancialReportAsset) to standardize how data is structured, cataloged for discovery, and governed across the organization. With this authorization policy-based control, organizations can enforce usage boundaries, allowing administrators to restrict the use of sensitive or proprietary templates to only authorized projects and users. For example, a life sciences organization admin can ensure that only R&D teams can use ClinicalStudyAsset asset types to publish clinical trial datasets, while a financial services firm can limit FinancialReportAsset asset types to audit or compliance teams. This streamlines asset creation while reducing duplication, preventing mismanagement, and maintaining governance boundaries across business units—ensuring that sensitive templates are used only by the right users in a secure and compliant manner. Learn more about how to assign authorization policies to asset types in our product documentation.  

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Amazon EC2 X2idn instances now available in AWS Israel (Tel Aviv) Region

Starting today, memory-optimized Amazon Compute Cloud (Amazon EC2) X2idn instances are available in AWS Israel (Tel Aviv) region. These instances, powered by 3rd generation Intel Xeon Scalable Processors and built with AWS Nitro System, are designed for memory-intensive workloads. They deliver improvements in performance, price performance, and cost per GiB of memory compared to previous generation X1 instances. These instances are SAP-certified for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, SAP BW/4HANA, and SAP NetWeaver workloads on any database.

To learn more, visit the EC2 X2i Instances Page, or connect with your AWS Support contacts.

 

​Starting today, memory-optimized Amazon Compute Cloud (Amazon EC2) X2idn instances are available in AWS Israel (Tel Aviv) region. These instances, powered by 3rd generation Intel Xeon Scalable Processors and built with AWS Nitro System, are designed for memory-intensive workloads. They deliver improvements in performance, price performance, and cost per GiB of memory compared to previous generation X1 instances. These instances are SAP-certified for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, SAP BW/4HANA, and SAP NetWeaver workloads on any database. To learn more, visit the EC2 X2i Instances Page, or connect with your AWS Support contacts.