Today, AWS announces that AWS HealthOmics private workflows are now available in the Asia Pacific (Seoul) Region, expanding access to fully managed bioinformatics workflows for healthcare and life sciences customers in Korea. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed bioinformatics workflows. HealthOmics enables customers to focus on scientific discovery rather than infrastructure management, reducing time to value for research, drug discovery, and agriculture science initiatives.

With private workflows, customers can build and scale genomics data analysis pipelines using familiar domain-specific languages including Nextflow, WDL, and CWL. The service provides built-in features such as call caching to resume runs, dynamic run storage that automatically scales with run storage needs, Git integrations for version-controlled workflow development, and third-party container registry support through Amazon ECR pull-through cache. These capabilities make it easier to migrate existing pipelines and accelerate development of new genomics workflows while maintaining full data provenance and compliance requirements.

Private workflows are now available in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Israel (Tel Aviv), Asia Pacific (Singapore), and Asia Pacific (Seoul).

To get started, see the AWS HealthOmics documentation.

​Today, AWS announces that AWS HealthOmics private workflows are now available in the Asia Pacific (Seoul) Region, expanding access to fully managed bioinformatics workflows for healthcare and life sciences customers in Korea. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed bioinformatics workflows. HealthOmics enables customers to focus on scientific discovery rather than infrastructure management, reducing time to value for research, drug discovery, and agriculture science initiatives. With private workflows, customers can build and scale genomics data analysis pipelines using familiar domain-specific languages including Nextflow, WDL, and CWL. The service provides built-in features such as call caching to resume runs, dynamic run storage that automatically scales with run storage needs, Git integrations for version-controlled workflow development, and third-party container registry support through Amazon ECR pull-through cache. These capabilities make it easier to migrate existing pipelines and accelerate development of new genomics workflows while maintaining full data provenance and compliance requirements. Private workflows are now available in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Israel (Tel Aviv), Asia Pacific (Singapore), and Asia Pacific (Seoul). To get started, see the AWS HealthOmics documentation.  

The Amazon ECS console now supports ECS Exec, enabling you to open secure, interactive shell access directly from the AWS Management Console to any running container.

ECS customers often need to access running containers to debug applications and examine running processes. ECS Exec provides easy and secure access to running containers without requiring inbound ports or SSH key management. Previously, ECS Exec was only accessible through the AWS API, CLI, or SDKs, requiring customers to switch interfaces when troubleshooting in the console. With this new feature, customers can now connect to running containers directly from the AWS Management Console, streamlining troubleshooting workflows.

To get started, you can turn on ECS Exec directly in the console when creating or updating services and standalone tasks. Additional settings like encryption and logging can also be configured at the cluster level through the console. Once enabled, simply navigate to a task details page, select a container, and click «Connect» to open an interactive session through CloudShell. The console also displays the underlying AWS CLI command, which you can customize or copy to use in your local terminal.

ECS Exec console support is now available in all AWS commercial regions. To learn more, visit the ECS developer guide.

​The Amazon ECS console now supports ECS Exec, enabling you to open secure, interactive shell access directly from the AWS Management Console to any running container.
ECS customers often need to access running containers to debug applications and examine running processes. ECS Exec provides easy and secure access to running containers without requiring inbound ports or SSH key management. Previously, ECS Exec was only accessible through the AWS API, CLI, or SDKs, requiring customers to switch interfaces when troubleshooting in the console. With this new feature, customers can now connect to running containers directly from the AWS Management Console, streamlining troubleshooting workflows.
To get started, you can turn on ECS Exec directly in the console when creating or updating services and standalone tasks. Additional settings like encryption and logging can also be configured at the cluster level through the console. Once enabled, simply navigate to a task details page, select a container, and click «Connect» to open an interactive session through CloudShell. The console also displays the underlying AWS CLI command, which you can customize or copy to use in your local terminal.
ECS Exec console support is now available in all AWS commercial regions. To learn more, visit the ECS developer guide.  

Amazon Neptune Database, a fully managed graph database service, now supports Public Endpoints, allowing developers to connect directly to Neptune databases from their development desktops without complex networking configurations.

With Public Endpoints, developers can securely access their Neptune databases from outside the VPC, eliminating the need for VPN connections, bastion hosts, or other networking configurations. This feature streamlines the development process while maintaining security through existing controls like IAM authentication, VPC security groups, and encryption in transit.

Public Endpoints can be enabled for new or existing Neptune clusters, with engine version 1.4.6 or above, through the AWS Management Console, AWS CLI, or AWS SDK. When enabled, Neptune generates a publicly accessible endpoint that developers can use with standard Neptune connection methods from their development machines. This feature is available at no additional cost beyond standard Neptune pricing and is available today in all AWS Regions where Neptune Database is offered. To learn more, visit the Amazon Neptune documentation.

​Amazon Neptune Database, a fully managed graph database service, now supports Public Endpoints, allowing developers to connect directly to Neptune databases from their development desktops without complex networking configurations. With Public Endpoints, developers can securely access their Neptune databases from outside the VPC, eliminating the need for VPN connections, bastion hosts, or other networking configurations. This feature streamlines the development process while maintaining security through existing controls like IAM authentication, VPC security groups, and encryption in transit. Public Endpoints can be enabled for new or existing Neptune clusters, with engine version 1.4.6 or above, through the AWS Management Console, AWS CLI, or AWS SDK. When enabled, Neptune generates a publicly accessible endpoint that developers can use with standard Neptune connection methods from their development machines. This feature is available at no additional cost beyond standard Neptune pricing and is available today in all AWS Regions where Neptune Database is offered. To learn more, visit the Amazon Neptune documentation.  

Amazon Connect now offers expanded disconnect reasons to help you better understand why outbound calls failed to connect in your contact center. These enhanced reasons are based on standard telecom error codes that provide deeper call insights and enable faster troubleshooting, reducing the need to create support tickets to understand failure reasons. You’ll benefit from improved reporting capabilities with granular disconnection data and real-time visibility through Contact Trace Records, allowing you to monitor call disconnection patterns more effectively.

To learn more refer to our public documentation and best practice guide. This new feature is available in all AWS regions where Amazon Connect is available. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.

​Amazon Connect now offers expanded disconnect reasons to help you better understand why outbound calls failed to connect in your contact center. These enhanced reasons are based on standard telecom error codes that provide deeper call insights and enable faster troubleshooting, reducing the need to create support tickets to understand failure reasons. You’ll benefit from improved reporting capabilities with granular disconnection data and real-time visibility through Contact Trace Records, allowing you to monitor call disconnection patterns more effectively.
To learn more refer to our public documentation and best practice guide. This new feature is available in all AWS regions where Amazon Connect is available. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.  

The post Bank of Queensland acelera análise de riscos com IA da Microsoft appeared first on Source LATAM.

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• Categoría: Noticias de Microsoft

septiembre 4, 2025

Una forma más inteligente de hablar con su televisor: Microsoft Copilot se lanza en televisores y monitores Samsung

Por: Equipo de Copilot.

La IA impulsada por voz se encuentra con un compañero visual para el entretenimiento, la ayuda diaria y todo lo demás.

Anunciamos el lanzamiento de Copilot en televisores y monitores Samsung seleccionados, para transformar la pantalla más grande de su hogar en su compañero más personal y útil, y es de uso gratuito.  

Copilot hace que su televisor sea más fácil y divertido de usar con su interfaz impulsada por voz, su personaje amigable en pantalla y sus sencillas tarjetas visuales. Ahora pueden encontrar con rapidez lo que buscan y descubrir nuevos favoritos directo desde su sala de estar.   

Debido a que vive en la pantalla más grande del hogar, Copilot es una experiencia social, algo que pueden usar junto con familiares y amigos para iniciar conversaciones, ayudar a los grupos a decidir qué ver y convertir el televisor en un espacio compartido para la curiosidad y la conexión.

«Copilot en televisores y monitores Samsung saca la IA de su bolsillo y la lleva al corazón de su hogar», dijo David Washington, gerente general de socios de Microsoft AI. «Está ahí cuando ustedes y su familia quieren descubrir algo para ver juntos, obtener respuestas a sus preguntas, planificar su fin de semana o tan solo pasar el rato».

Basado en la asociación

Microsoft y Samsung tienen una larga historia de reunir lo mejor de la tecnología, desde Windows y Office en dispositivos Galaxy hasta Xbox Cloud Gaming en televisores Samsung. Esta colaboración aporta ese mismo espíritu de innovación a Copilot, para hacer que su televisor sea más inteligente, más personal y más divertido.

Para resúmenes, madrigueras de conejo y todo lo demás

Copilot brilla cuando se trata de encontrar su próxima cosa favorita para ver, pero también está ahí para las pequeñas preguntas, los grandes planes y los momentos cotidianos intermedios.

• Resúmenes personalizados y sin spoilers: «Quiero volver a The Crown, lo dejé en la temporada 3, episodio 4. ¿Qué pasó hasta entonces?»
• Recomendaciones ultraespecíficas: «Como The Queen’s Gambit, pero sobre cocinar en lugar de ajedrez, y menos de dos horas».  
• Selecciones para grupos: «A Hannah le gustan las comedias románticas, a David le gusta la ciencia ficción, a Mark le gustan los thrillers. ¿Qué es algo que nos gustará a todos?» Perfecto para cuando todos están reunidos en la sala de estar y quieren decidir juntos.  
• Inmersiones profundas posteriores a la visualización: «¿Quién fue el actor de voz de ese personaje?» o «¿Qué más ha hecho el director?»
• Ayuda diaria: «¿Habrá el sábado en Seattle buenas condiciones para hacer senderismo?» o «Anímame después de una ruptura».  

Una experiencia más visual, más personal

La apariencia de Copilot  es una presencia amigable y animada en su televisor que reacciona y sincroniza los labios mientras hablan, con expresiones que coinciden con el tono de la conversación. Es un recordatorio visible de que su compañero los escucha, piensa y responde solo para ustedes. 

Y cuando Copilot responde, no solo se los dice, sino que se los muestra. Los resultados de películas, clima e imágenes aparecen como tarjetas ricas y visibles diseñadas para la pantalla grande, con calificaciones, fotos y detalles clave. 

Cómo funciona

1. Activar Copilot: Copilot se implementará en automático en televisores Samsung seleccionados. Los usuarios pueden ver Copilot (en la pestaña Aplicaciones) en el Samsung Tizen OS home Samsung Daily+. Presionen el botón del micrófono en su control remoto Samsung y hablen con naturalidad. 
2. (Opcional) Inicien sesión para un toque personal: usen un código QR rápido para conectar su cuenta de Microsoft y desbloquear la personalización, la memoria y las preferencias de Copilot por ustedes.  
3. Pidan lo que quieren: Ya sea un título, una pregunta o un consejo, Copilot los entiende.
4. Vean y escuchen su respuesta: vean cómo Copilot responde con una combinación de imágenes y voz.

Disponibilidad
Copilot se lanza en la línea 2025 de televisores y monitores Samsung ^[1] y ya está disponible, con más años de modelo y características a seguir. La experiencia está disponible sin costo alguno. 

^[1] Copilot está disponible en los modelos de TV 2025, incluidos Micro RGB, Neo QLED, OLED, The Frame Pro, The Frame, así como en los monitores inteligentes M7, M8 y M9. Copilot está disponible en mercados seleccionados. La disponibilidad se ampliará a regiones y modelos adicionales con el tiempo y la experiencia puede variar según el mercado. 

Etiquetas:

• IA
• Tecnología
• Vida y Trabajo

The post Una forma más inteligente de hablar con su televisor: Microsoft Copilot se lanza en televisores y monitores Samsung appeared first on Source LATAM.

​The post Una forma más inteligente de hablar con su televisor: Microsoft Copilot se lanza en televisores y monitores Samsung appeared first on Source LATAM.  

Today, AWS announced the opening of a new AWS Direct Connect location within East African Data Centres NBO1 near Nairobi, Kenya. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This site is the first AWS Direct Connect location in Kenya. This Direct Connect location offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available.

The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. 

For more information on the over 145 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.

​Today, AWS announced the opening of a new AWS Direct Connect location within East African Data Centres NBO1 near Nairobi, Kenya. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This site is the first AWS Direct Connect location in Kenya. This Direct Connect location offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet.  For more information on the over 145 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.  

Amazon SageMaker Catalog now supports governed classification through Restricted Classification Terms, allowing catalog administrators to control which users and projects can apply sensitive glossary terms to their assets. This new capability is designed to help organizations enforce metadata standards and ensure classification consistency across teams and domains.

With this launch, glossary terms can be marked as «restricted», and only authorized users or groups—defined through explicit policies—can use them to classify data assets. For example, a centralized data governance team may define terms like “Seller-MCF” or “PII” that reflect data handling policies. These terms can now be governed so only specific project members (e.g., trusted admin groups) can apply them, which helps support proper control over how sensitive classifications are assigned.

This feature is now available in all AWS regions where Amazon SageMaker Unified Studio is supported.

To get started and learn more about this feature, see SageMaker Unified Studio user guide.

​Amazon SageMaker Catalog now supports governed classification through Restricted Classification Terms, allowing catalog administrators to control which users and projects can apply sensitive glossary terms to their assets. This new capability is designed to help organizations enforce metadata standards and ensure classification consistency across teams and domains. With this launch, glossary terms can be marked as «restricted», and only authorized users or groups—defined through explicit policies—can use them to classify data assets. For example, a centralized data governance team may define terms like “Seller-MCF” or “PII” that reflect data handling policies. These terms can now be governed so only specific project members (e.g., trusted admin groups) can apply them, which helps support proper control over how sensitive classifications are assigned. This feature is now available in all AWS regions where Amazon SageMaker Unified Studio is supported. To get started and learn more about this feature, see SageMaker Unified Studio user guide.  

Amazon MQ now supports OAuth 2.0 authentication and authorization for RabbitMQ brokers with public identity providers in both single instance and highly available Multi-AZ cluster deployments. This feature enables RabbitMQ brokers to authenticate clients and users using JWT-encoded OAuth 2.0 access tokens, providing enhanced security and flexibility in access management.

You can configure OAuth 2.0 on your RabbitMQ broker on Amazon MQ using the AWS Console, AWS CloudFormation, AWS Command Line Interface (CLI), or the AWS Cloud Development Kit (CDK). This feature is available in all AWS regions where Amazon MQ is available. To get started, create a new RabbitMQ broker with OAuth 2.0 authentication or update your existing broker’s configuration to enable OAuth2.0 support. This feature maintains compatibility with standard RabbitMQ OAuth 2.0 implementations, ensuring seamless migration for existing OAuth 2.0 enabled brokers. For detailed configuration options and steps, refer to the Amazon MQ documentation page. 

​Amazon MQ now supports OAuth 2.0 authentication and authorization for RabbitMQ brokers with public identity providers in both single instance and highly available Multi-AZ cluster deployments. This feature enables RabbitMQ brokers to authenticate clients and users using JWT-encoded OAuth 2.0 access tokens, providing enhanced security and flexibility in access management. You can configure OAuth 2.0 on your RabbitMQ broker on Amazon MQ using the AWS Console, AWS CloudFormation, AWS Command Line Interface (CLI), or the AWS Cloud Development Kit (CDK). This feature is available in all AWS regions where Amazon MQ is available. To get started, create a new RabbitMQ broker with OAuth 2.0 authentication or update your existing broker’s configuration to enable OAuth2.0 support. This feature maintains compatibility with standard RabbitMQ OAuth 2.0 implementations, ensuring seamless migration for existing OAuth 2.0 enabled brokers. For detailed configuration options and steps, refer to the Amazon MQ documentation page.   

Anthropic’s Claude Sonnet 4 is now available with Global cross-Region inference in Amazon Bedrock, so you can now use the Global Claude Sonnet 4 inference profile to route your inference requests to any supported commercial AWS Region for processing, optimizing available resources and enabling higher model throughput.

Amazon Bedrock is a comprehensive, secure, and flexible service for building generative AI applications and agents. When using on-demand and batch inference in Amazon Bedrock, your requests may be restricted by service quotas or during peak usage times. Cross-region inference enables you to seamlessly manage unplanned traffic bursts by utilizing compute across different AWS Regions. With cross-region inference, you can distribute traffic across multiple AWS Regions, enabling higher throughput. Previously, you were able to choose cross-region inference profiles tied to a specific geography such as the US, EU, or APAC, which automatically selected the optimal commercial AWS Region within that geography to process your inference requests. For your generative AI use cases that do not require you to choose inference profiles tied to a specific geography, you can now use the Global cross-region inference profile to further increase your model throughput.

To learn more about global cross-Region inference in Amazon Bedrock, you can visit our documentation on increasing throughput with cross-Region inference, see supported Regions and models for inference profiles, and follow the steps mentioned in the Use an inference profile in model invocation page to get started.

​Anthropic’s Claude Sonnet 4 is now available with Global cross-Region inference in Amazon Bedrock, so you can now use the Global Claude Sonnet 4 inference profile to route your inference requests to any supported commercial AWS Region for processing, optimizing available resources and enabling higher model throughput. Amazon Bedrock is a comprehensive, secure, and flexible service for building generative AI applications and agents. When using on-demand and batch inference in Amazon Bedrock, your requests may be restricted by service quotas or during peak usage times. Cross-region inference enables you to seamlessly manage unplanned traffic bursts by utilizing compute across different AWS Regions. With cross-region inference, you can distribute traffic across multiple AWS Regions, enabling higher throughput. Previously, you were able to choose cross-region inference profiles tied to a specific geography such as the US, EU, or APAC, which automatically selected the optimal commercial AWS Region within that geography to process your inference requests. For your generative AI use cases that do not require you to choose inference profiles tied to a specific geography, you can now use the Global cross-region inference profile to further increase your model throughput. To learn more about global cross-Region inference in Amazon Bedrock, you can visit our documentation on increasing throughput with cross-Region inference, see supported Regions and models for inference profiles, and follow the steps mentioned in the Use an inference profile in model invocation page to get started.