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Amazon Q Business is now SOC compliant

Amazon Q Business is now SOC (System and Organization Controls) eligible. Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems.

With the Amazon Q Business SOC certification, customers, can now use Amazon Q Business for use cases that are subject to Service Organization Control (SOC) requirements. Amazon Q Business is now SOC 1, 2 and 3 compliant, allowing you to get deep insight into the security processes and controls that protect customer data. AWS maintains SOC compliance through extensive third-party audits of AWS controls. These audits ensure that the appropriate safeguards and procedures are in place to protect against security risks that may affect the confidentiality, integrity, and availability of customer and company data.

Amazon Q Business is SOC compliant in all of the AWS Regions where Amazon Q Business is supported. See the AWS Regional Services List for the most up-to-date availability information. To learn more about SOC eligible services, visit the webpage. To get started with Amazon Q Business, visit the product page to learn more.
 

 

​Amazon Q Business is now SOC (System and Organization Controls) eligible. Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. With the Amazon Q Business SOC certification, customers, can now use Amazon Q Business for use cases that are subject to Service Organization Control (SOC) requirements. Amazon Q Business is now SOC 1, 2 and 3 compliant, allowing you to get deep insight into the security processes and controls that protect customer data. AWS maintains SOC compliance through extensive third-party audits of AWS controls. These audits ensure that the appropriate safeguards and procedures are in place to protect against security risks that may affect the confidentiality, integrity, and availability of customer and company data. Amazon Q Business is SOC compliant in all of the AWS Regions where Amazon Q Business is supported. See the AWS Regional Services List for the most up-to-date availability information. To learn more about SOC eligible services, visit the webpage. To get started with Amazon Q Business, visit the product page to learn more.    

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Amazon Connect now supports deletion of queues and routing profiles from the admin website

You can now remove queues and routing profiles that are no longer required in your contact center directly from the Amazon Connect admin website, in addition to the API-based deletion that was previously supported. For example, if your team set up sample queues to test a use case that are no longer needed, or you are consolidating your routing profiles because you have reorganized agents, you can now click to remove the unwanted resources.

To get started, open the Amazon Connect admin website and navigate to the queues or routing profile page. Use the delete action to remove unneeded rows and free up service quotas for that resource. The updated UIs are available in all AWS Regions where Amazon Connect is offered. For more information, see the administrator guide. To learn more about Amazon Connect, the AWS contact center as a service solution on the cloud, please visit the Amazon Connect website.
 

 

​You can now remove queues and routing profiles that are no longer required in your contact center directly from the Amazon Connect admin website, in addition to the API-based deletion that was previously supported. For example, if your team set up sample queues to test a use case that are no longer needed, or you are consolidating your routing profiles because you have reorganized agents, you can now click to remove the unwanted resources. To get started, open the Amazon Connect admin website and navigate to the queues or routing profile page. Use the delete action to remove unneeded rows and free up service quotas for that resource. The updated UIs are available in all AWS Regions where Amazon Connect is offered. For more information, see the administrator guide. To learn more about Amazon Connect, the AWS contact center as a service solution on the cloud, please visit the Amazon Connect website.    

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Amazon RDS for Db2 supports multiple databases within an instance

Amazon RDS for Db2 now enables the creation of multiple Db2 databases within a database instance. This enhanced capability offers greater flexibility in managing databases and optimizing licenses for various enterprise workloads.

Customers can now provision and manage up to 50 Db2 databases within a single RDS for Db2 instance, eliminating the need to deploy and license databases individually for each RDS instance. Customers using multiple databases can quickly create, activate, deactivate or drop databases, enabling them to reduce the overhead of managing separate RDS for Db2 instances. To create multiple databases within an Amazon RDS for Db2 instance, simply set up an RDS instance in the AWS Management Console or using the AWS CLI, then use the create_database stored procedure to create multiple Db2 databases on that RDS instance.

Amazon RDS makes it simple to set up, operate, and scale Db2 deployments in the cloud. To learn more about Amazon RDS for Db2, check Amazon RDS for Db2 User Guide and Amazon RDS for Db2 pricing page for pricing details and regional availability.
 

 

​Amazon RDS for Db2 now enables the creation of multiple Db2 databases within a database instance. This enhanced capability offers greater flexibility in managing databases and optimizing licenses for various enterprise workloads. Customers can now provision and manage up to 50 Db2 databases within a single RDS for Db2 instance, eliminating the need to deploy and license databases individually for each RDS instance. Customers using multiple databases can quickly create, activate, deactivate or drop databases, enabling them to reduce the overhead of managing separate RDS for Db2 instances. To create multiple databases within an Amazon RDS for Db2 instance, simply set up an RDS instance in the AWS Management Console or using the AWS CLI, then use the create_database stored procedure to create multiple Db2 databases on that RDS instance. Amazon RDS makes it simple to set up, operate, and scale Db2 deployments in the cloud. To learn more about Amazon RDS for Db2, check Amazon RDS for Db2 User Guide and Amazon RDS for Db2 pricing page for pricing details and regional availability.    

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RSNA 2024: El impacto de la IA dentro y fuera de la sala de lectura

diciembre 20, 2024

RSNA 2024: El impacto de la IA dentro y fuera de la sala de lectura

Tres radiólogos observan una pantalla con radiografías

Por: Kees Hertogh, vicepresidente de marketing de salud y ciencias de la vida.

Lo que comenzó como una caja de prompts, cambió el mundo de la noche a la mañana. En lugar de buscar información en una ventana del navegador, Copilot de Microsoft permite a las personas generar información inteligente, automatizar tareas y despertar la creatividad en las aplicaciones y dispositivos en los que confían.

La IA generativa y otros tipos de IA transforman la radiología de la sala de lectura al laboratorio de investigación. A veces, la IA generativa parece una reunión más eficiente para la junta de tumores. Otras veces, es una impresión de borrador que les recuerda que deben incluir detalles que podrían haber pasado por alto. En todos los casos, parece que los equipos de radiología están empoderados, para trabajar de manera más eficiente y mejorar los resultados de los pacientes.

En RSNA 2024 mostramos las crecientes oportunidades para que los equipos de radiología accedan a una IA responsable, entregada a escala.1

Devolver el tiempo a los radiólogos

La mayoría de los radiólogos todavía dedican una cantidad significativa de su tiempo a tareas fuera de la interpretación de imágenes y la creación de informes. Desde apoyar una conferencia de la junta de tumores hasta redactar una propuesta de subvención, es un trabajo importante, pero requiere mucho tiempo.

También es el tipo de trabajo que Microsoft 365 Copilot puede ayudar a acelerar.

Microsoft 365 Copilot, con más de 400 millones de usuarios, impulsa la productividad en todo el mundo. Al conectar y graficar de forma segura los datos en todas sus aplicaciones y actividad web, Copilot tiene el contexto que necesitan para proporcionar respuestas más personalizadas e inteligentes.

Cuando equipos enteros de radiología automatizan, buscan, resumen y crean con Copilot para abordar sus tareas diarias, los minutos que ahorran se acumulan con rapidez.

Aplicar la IA, incluida la IA generativa, dentro de la sala de lectura

En 2023, compartimos cómo Precision Imaging Network, que forma parte de Microsoft Cloud for Healthcare, facilita a los equipos de radiología la integración de la IA de terceros en sus flujos de trabajo de informes.

Precision Imaging Network ofrece un único punto de acceso a una colección de modelos de IA de terceros que han pasado por revisiones técnicas, de cumplimiento y de seguridad. Existen modelos de IA de triaje que trabajan para identificar imágenes con hallazgos críticos y ayudan a garantizar que los radiólogos lean primero los casos más urgentes. Los modelos de IA de detección y medición ayudan a los radiólogos con la interpretación de imágenes al resaltar las anomalías.

En su documento técnico, «Una plataforma para la IA empresarial de atención médica y la transformación digital«, el neurorradiólogo y experto en IA médica, el Dr. Reza Forghani, explica cómo Precision Imaging Network facilita la implementación de modelos de IA escalables y eficientes en semanas, no meses.

Dr. Reza Forghani, MD, PhD, neurorradiólogo y experto en IA médica

Más allá de integrar a la perfección la IA de terceros en su flujo de trabajo, los radiólogos pueden aprovechar la IA generativa para ayudar a automatizar la creación de informes.

PowerScribe Smart Impression, que ganó el premio AuntMinnie al Mejor Software de Radiología Nuevo 2024, utiliza la IA generativa para crear en automático un borrador de impresión al estilo de dictado del radiólogo, por medio de metadatos de pedidos, entradas de IA aprobadas y hallazgos dictados. Se entrena en millones de informes y ofrece una variedad de beneficios, desde una mayor eficiencia hasta una mayor satisfacción laboral.

El Dr. Jay Janusz Kikut es profesor clínico de radiología y vicepresidente de informática de radiología en el Centro Médico de la Universidad de Vermont. Ha descubierto que tres cuartas partes de los radiólogos de su departamento que utilizan PowerScribe Smart Impression creen que les ha hecho más eficientes. «También les ayuda a no olvidar cosas […] y contribuye a su satisfacción en el trabajo», dice el Dr. Kikut.

En Microsoft, nos centramos en hacer que la IA esté disponible para más personas, por lo que PowerScribe Smart Impression ahora se incluye con PowerScribe One.2 Lo mejor de todo es que está integrado de forma nativa en el flujo de trabajo sin necesidad de integraciones adicionales.

Hacer que la innovación en IA sea más segura y sencilla

También nos comprometemos a ayudar a los clientes, desarrolladores y socios del sector sanitario a crear y utilizar una IA que se guíe por nuestros principios de seguridad, protección y privacidad. Nuestro servicio de agente de atención médica anunciado de manera reciente en Microsoft Copilot Studio es un gran ejemplo. Permite a las organizaciones sanitarias crear sus propios agentes generativos impulsados por IA con medidas de seguridad, clínicas, de chat y de cumplimiento específicas para la atención sanitaria de última generación. Esto les permite innovar de manera responsable con la IA. Para ayudar a mejorar la experiencia del paciente y agilizar los flujos de trabajo. Esto les permite innovar de manera responsable con la IA para ayudar a mejorar la experiencia del paciente y optimizar los flujos de trabajo.

Otra forma en que ayudamos a las organizaciones a experimentar con la IA es a través de los modelos de IA de atención médica multimodal preentrenados en Azure AI Foundry. Los equipos de la Universidad de Wisconsin-Madison y UW Health han utilizado su base de datos de 2,5 millones de radiografías de tórax para afinar un modelo que genera borradores de informes con técnicas de conexión visual a tierra. El radiólogo puede hacer clic en el contenido del informe para ver dónde se encuentran las áreas a las que se hace referencia de manera directa en la radiografía de tórax.

Dr. Richard Bruce, vicepresidente de informática, radiología de la Universidad de Wisconsin-Madison

Esta historia es solo una de muchas. Los visionarios de la atención médica aplican nuestros modelos fundamentales multimodales para abordar desafíos que van desde la transformación de los flujos de trabajo de radiología hasta la aceleración del avance de la investigación clínica, el descubrimiento de fármacos y la atención al paciente.

Apoyamos a nuestros socios para construir un futuro mejor

En RSNA 2024, compartimos cómo nuestra colaboración con Sectra subraya nuestro compromiso con el avance de la atención médica a través de la IA. Al colaborar con Sectra, combinamos su experiencia líder en imágenes médicas con nuestras capacidades de IA para desarrollar soluciones avanzadas que ayudan a los radiólogos y médicos a tomar decisiones más rápidas e informadas, para impulsar mejoras en los resultados de la atención médica.

En nuestro stand, mostramos una alineación estelar de socios con soluciones alineadas y alojadas en Azure. Entre ellas se encontraban la plataforma de gestión de datos de imágenes médicas de Flywheel, la solución de IA de Volpara + Lunit para detectar lesiones sospechosas de cáncer de mama en mamografías y la solución de flujo de trabajo de imágenes empresariales de Merge by Merative. También presentamos el cribado de cáncer de mama basado en IA de Niramai  mediante IA a través de escaneos térmicos, la creación de modelos de IA sin servidor DGX™ Cloud de NVIDIA y el software de IA de Paige para el diagnóstico del cáncer en patología. Además, compartimos cómo Azure DICOM Migration Suite de CitiusTech utiliza Azure Health Data Services y Microsoft Fabric para ayudar a garantizar una migración de datos confiable con alta disponibilidad y recuperación ante desastres.

Una mirada hacia la IA en radiología

La IA continúa con la transformación significativa de la radiología, para ampliar el ámbito de las posibilidades. Y lo que es más importante, puede optimizar los flujos de trabajo, lo que permite a los radiólogos centrarse en lo que más importa: mejorar la atención al paciente con informes de alta calidad. A medida que más equipos de radiología adoptan y promueven la innovación en IA, anticipamos con entusiasmo un año inspirador por delante.

1Los productos y servicios de Microsoft (1) no están diseñados, pensados ni puestos a disposición como dispositivos médicos, y (2) no están diseñados ni pretenden ser un sustituto del asesoramiento, diagnóstico, tratamiento o juicio médico profesional y no deben usarse para reemplazar o como sustituto del asesoramiento, diagnóstico, tratamiento o juicio médico profesional. Usted es responsable de garantizar que las soluciones cumplan con las leyes y regulaciones aplicables.

2PowerScribe Smart Impression disponible para las versiones 2019.8 y 2023.1 Service Pack 2 de PowerScribe One.

The post RSNA 2024: El impacto de la IA dentro y fuera de la sala de lectura appeared first on Source LATAM.

 

​The post RSNA 2024: El impacto de la IA dentro y fuera de la sala de lectura appeared first on Source LATAM.  

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AWS Backup now supports resource type and multiple tag selections in backup policies in the AWS GovCloud (US) Regions

Today, AWS Backup announces additional options to assign resources to a backup policy on AWS Organizations in the AWS GovCloud (US) Regions. Customers can now select specific resources by resource type and exclude them based on resource type or tag. They can also use the combination of multiple tags within the same resource selection.

With additional options to select resources, customers can implement flexible backup strategies across their organizations by combining multiple resource types and/or tags. They can also exclude resources they do not want to back up using resource type or tag, optimizing cost on non-critical resources.

To get started, use your AWS Organizations’ management account to create or edit an AWS Backup policy in the AWS GovCloud (US) Regions. Then, create or modify a resource selection using the AWS Organizations’ API, CLI, or JSON editor in either the AWS Organizations or AWS Backup console. For more information, visit our documentation and launch blog.

 

​Today, AWS Backup announces additional options to assign resources to a backup policy on AWS Organizations in the AWS GovCloud (US) Regions. Customers can now select specific resources by resource type and exclude them based on resource type or tag. They can also use the combination of multiple tags within the same resource selection. With additional options to select resources, customers can implement flexible backup strategies across their organizations by combining multiple resource types and/or tags. They can also exclude resources they do not want to back up using resource type or tag, optimizing cost on non-critical resources. To get started, use your AWS Organizations’ management account to create or edit an AWS Backup policy in the AWS GovCloud (US) Regions. Then, create or modify a resource selection using the AWS Organizations’ API, CLI, or JSON editor in either the AWS Organizations or AWS Backup console. For more information, visit our documentation and launch blog.  

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Amazon Connect launches support for 64 languages for Amazon Q in Connect agent assistance

Amazon Q in Connect now supports 64 languages for agent assistance capabilities. Customer service agents can now chat with Q for assistance in their native language and Q will provide answers, knowledge article links, and recommended step-by-step guides in said language. New languages supported include: Chinese, French, French (Canadian), Italian, Japanese, Korean, Malay, Portuguese, Spanish, Swedish, and Tagalog.

For the full list of supported languages, please see the Languages supported by Amazon Connect features. For region availability, please see the availability of Amazon Connect features by Region. To learn more about Amazon Q in Connect, please visit the website or see the help documentation.

 

​Amazon Q in Connect now supports 64 languages for agent assistance capabilities. Customer service agents can now chat with Q for assistance in their native language and Q will provide answers, knowledge article links, and recommended step-by-step guides in said language. New languages supported include: Chinese, French, French (Canadian), Italian, Japanese, Korean, Malay, Portuguese, Spanish, Swedish, and Tagalog. For the full list of supported languages, please see the Languages supported by Amazon Connect features. For region availability, please see the availability of Amazon Connect features by Region. To learn more about Amazon Q in Connect, please visit the website or see the help documentation.  

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AWS Glue Data Catalog offers advanced automatic optimization for Apache Iceberg tables

AWS Glue Data Catalog now offers advanced automatic optimization for Apache Iceberg tables. This update includes supporting compaction of delete files, nested data types, partial progress commits, and partition evolution support, making it easier to maintain consistently performant transactional data lakes. These features address challenges faced by customers with streaming data continuously ingested into Apache Iceberg tables, resulting in a large number of delete files that track changes in data files.

With this new capability, Glue Data Catalog constantly monitors table partitions for positional and equality delete files, initiates the compaction process, and regularly commits partial progress to reduce conflicts. Glue Catalog optimizers now support schema evolution as you reorder or rename columns as well as partition spec evolution. In addition, Glue Catalog has expanded support for heavily nested complex data and support for parquet compression codecs – zstd, brotli, lz4, gzip, snappy. Enabling automatic compaction reduces delete files and metadata overhead on your Iceberg tables and improves query performance. These new features are automatically applied to existing and new Glue Catalog optimizers.

In addition to the AWS console, customers can also use the AWS CLI or AWS SDKs to automate optimization for Apache Iceberg tables. The feature is available in 14 AWS regions US East (N. Virginia, Ohio), US West (Oregon), Europe (Ireland, London, Frankfurt, Stockholm), Canada (central), Asia Pacific (Tokyo, Seoul, Mumbai, Singapore, Sydney), South America (São Paulo). To learn more, read the blog, and visit the AWS Glue Data Catalog documentation.
 

 

​AWS Glue Data Catalog now offers advanced automatic optimization for Apache Iceberg tables. This update includes supporting compaction of delete files, nested data types, partial progress commits, and partition evolution support, making it easier to maintain consistently performant transactional data lakes. These features address challenges faced by customers with streaming data continuously ingested into Apache Iceberg tables, resulting in a large number of delete files that track changes in data files. With this new capability, Glue Data Catalog constantly monitors table partitions for positional and equality delete files, initiates the compaction process, and regularly commits partial progress to reduce conflicts. Glue Catalog optimizers now support schema evolution as you reorder or rename columns as well as partition spec evolution. In addition, Glue Catalog has expanded support for heavily nested complex data and support for parquet compression codecs – zstd, brotli, lz4, gzip, snappy. Enabling automatic compaction reduces delete files and metadata overhead on your Iceberg tables and improves query performance. These new features are automatically applied to existing and new Glue Catalog optimizers. In addition to the AWS console, customers can also use the AWS CLI or AWS SDKs to automate optimization for Apache Iceberg tables. The feature is available in 14 AWS regions US East (N. Virginia, Ohio), US West (Oregon), Europe (Ireland, London, Frankfurt, Stockholm), Canada (central), Asia Pacific (Tokyo, Seoul, Mumbai, Singapore, Sydney), South America (São Paulo). To learn more, read the blog, and visit the AWS Glue Data Catalog documentation.    

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Announcing Internet Protocol Version 6 (IPv6) support for Recycle Bin

Today, AWS announces Internet Protocol version 6 (IPv6) support for Recycle Bin, a data recovery feature that enables restoration of accidental deleted Amazon EBS Snapshots and EBS-backed AMIs. You now have the option of using IPv6 addresses for new and existing endpoints. By moving to IPv6, you can simplify your network stack by running dual-stack Recycle Bin endpoints on a network that supports both IPv4 and IPv6.

Customers can create rules in Recycle Bin to retain deleted EBS Snapshots or deregistered EBS-backed AMI for a specific retention time. This capability allows you to immediately recover your deleted snapshots or EBS-backed AMIs when you create volumes or launch instance without a need to roll back to a snapshot or AMI from an earlier point in time. Recovered snapshots or AMIs retain attributes such as prior to deletion and can be used immediately for creating volumes or launching instances. Snapshots and AMIs that are not recovered from the Recycle Bin are permanently deleted upon expiration of the retention time.

Recycle Bin with IPv6 and AWS PrivateLink is now available in all AWS Regions including the AWS GovCloud (US) Regions.

To learn more about configuring Recycle Bin endpoints for IPv6, please refer to our documentation.
 

 

​Today, AWS announces Internet Protocol version 6 (IPv6) support for Recycle Bin, a data recovery feature that enables restoration of accidental deleted Amazon EBS Snapshots and EBS-backed AMIs. You now have the option of using IPv6 addresses for new and existing endpoints. By moving to IPv6, you can simplify your network stack by running dual-stack Recycle Bin endpoints on a network that supports both IPv4 and IPv6. Customers can create rules in Recycle Bin to retain deleted EBS Snapshots or deregistered EBS-backed AMI for a specific retention time. This capability allows you to immediately recover your deleted snapshots or EBS-backed AMIs when you create volumes or launch instance without a need to roll back to a snapshot or AMI from an earlier point in time. Recovered snapshots or AMIs retain attributes such as prior to deletion and can be used immediately for creating volumes or launching instances. Snapshots and AMIs that are not recovered from the Recycle Bin are permanently deleted upon expiration of the retention time. Recycle Bin with IPv6 and AWS PrivateLink is now available in all AWS Regions including the AWS GovCloud (US) Regions. To learn more about configuring Recycle Bin endpoints for IPv6, please refer to our documentation.    

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Amazon AppStream 2.0 introduces client for macOS

Amazon AppStream 2.0 extends native client support to macOS. Users can now access AppStream 2.0 streamed applications through a web browser, the AppStream 2.0 client for Windows, or AppStream 2.0 client for macOS. This additional macOS support provides more flexibility and platform options for users needing access to streamed applications and desktops.

The AppStream 2.0 client for macOS is an application you install on your Mac to access AppStream streaming sessions. The client provides enhanced capabilities and user experience. It supports two monitors with 4K resolution, and the ability to connect up to four monitors, leveraging multi-monitor layouts. Users can use keyboard shortcuts and relative mouse mode for a more natural feel.

Using macOS client you can also stream over UDP which offers a more responsive streaming quality in sub-optimal network conditions, with higher round trip latency. Additionally, to assist with troubleshooting macOS client issues, you can enable client automatic logging.

The macOS client works with Windows, Red Hat Enterprise Linux, Rocky Linux 8 based AppStream 2.0 applications and fleets. To run the AppStream 2.0 macOS client, ensure that your Mac is running macOS 13 (Ventura), macOS 14 (Sonoma), or macOS 15 (Sequoia).

To download and install the AppStream 2.0 macOS client application, visit Amazon AppStream 2.0 Downloads, choose the macOS link, download and install the application. Verify that the Amazon AppStream 2.0 client application icon appears on your Mac Launchpad and start streaming.
 

 

​Amazon AppStream 2.0 extends native client support to macOS. Users can now access AppStream 2.0 streamed applications through a web browser, the AppStream 2.0 client for Windows, or AppStream 2.0 client for macOS. This additional macOS support provides more flexibility and platform options for users needing access to streamed applications and desktops. The AppStream 2.0 client for macOS is an application you install on your Mac to access AppStream streaming sessions. The client provides enhanced capabilities and user experience. It supports two monitors with 4K resolution, and the ability to connect up to four monitors, leveraging multi-monitor layouts. Users can use keyboard shortcuts and relative mouse mode for a more natural feel. Using macOS client you can also stream over UDP which offers a more responsive streaming quality in sub-optimal network conditions, with higher round trip latency. Additionally, to assist with troubleshooting macOS client issues, you can enable client automatic logging. The macOS client works with Windows, Red Hat Enterprise Linux, Rocky Linux 8 based AppStream 2.0 applications and fleets. To run the AppStream 2.0 macOS client, ensure that your Mac is running macOS 13 (Ventura), macOS 14 (Sonoma), or macOS 15 (Sequoia). To download and install the AppStream 2.0 macOS client application, visit Amazon AppStream 2.0 Downloads, choose the macOS link, download and install the application. Verify that the Amazon AppStream 2.0 client application icon appears on your Mac Launchpad and start streaming.    

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AWS Config now supports 3 new resource types

AWS Config now supports 3 additional AWS resource types. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources.

With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available across the AWS Config feature set, including Config rules, Config aggregators, and Config advanced queries.

You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported services are available:

  • AWS::Cognito::IdentityPool
  • AWS::MediaConnect::Gateway
  • AWS::OpenSearchServerless::VpcEndpoint

To view the complete list of AWS Config supported resource types, see supported resource types page.

 

​AWS Config now supports 3 additional AWS resource types. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources. With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available across the AWS Config feature set, including Config rules, Config aggregators, and Config advanced queries. You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported services are available:

AWS::Cognito::IdentityPool
AWS::MediaConnect::Gateway
AWS::OpenSearchServerless::VpcEndpoint

To view the complete list of AWS Config supported resource types, see supported resource types page.