AWS CodeBuild managed images now support Node 22, Python 3.13, and Go 1.23. These new runtime versions are available in Linux x86, Arm, Windows and macOS platforms. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages ready for deployment.
For CodeBuild managed images based on Linux, you can specify a runtime of your choice in the runtime-versions section of your buildspec file. You can select specific major and minor versions supported by CodeBuild, or define a custom runtime version. Additionally with this release, we added commonly used tools that are available in GitHub Actions environments to better support customers using CodeBuild as a self-hosted runner option.
The updated images are available in all regions where CodeBuild is offered. For more information about the AWS Regions where CodeBuild is available, see the AWS Regions page.
To learn more about docker images and runtime versions provided by CodeBuild, please visit our documentation or our image repository. To learn more about how to get started with CodeBuild, visit the AWS CodeBuild product page.
AWS CodeBuild managed images now support Node 22, Python 3.13, and Go 1.23. These new runtime versions are available in Linux x86, Arm, Windows and macOS platforms. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages ready for deployment. For CodeBuild managed images based on Linux, you can specify a runtime of your choice in the runtime-versions section of your buildspec file. You can select specific major and minor versions supported by CodeBuild, or define a custom runtime version. Additionally with this release, we added commonly used tools that are available in GitHub Actions environments to better support customers using CodeBuild as a self-hosted runner option. The updated images are available in all regions where CodeBuild is offered. For more information about the AWS Regions where CodeBuild is available, see the AWS Regions page. To learn more about docker images and runtime versions provided by CodeBuild, please visit our documentation or our image repository. To learn more about how to get started with CodeBuild, visit the AWS CodeBuild product page.
Customers can use regional processing profiles for Amazon Nova understanding models (Amazon Nova Lite, Amazon Nova Micro, and Amazon Nova Pro) in Europe (Stockholm).
Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other FMs from leading AI companies via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI built in. These capabilities help you build tailored applications for multiple use cases across different industries, helping organizations unlock sustained growth from generative AI while ensuring customer trust and data governance.
Customers can use regional processing profiles for Amazon Nova understanding models (Amazon Nova Lite, Amazon Nova Micro, and Amazon Nova Pro) in Europe (Stockholm).
Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other FMs from leading AI companies via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI built in. These capabilities help you build tailored applications for multiple use cases across different industries, helping organizations unlock sustained growth from generative AI while ensuring customer trust and data governance. To get started, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details.
Amazon QuickSight is now available in the AWS GovCloud (US-East) Region. AWS GovCloud (US) Regions are isolated AWS Regions designed to host sensitive data and regulated workloads in the cloud, assisting customers who have United States federal, state, or local government compliance requirements.
Amazon QuickSight is a fast, scalable, and fully managed Business Intelligence service that lets you easily create and publish interactive dashboards across your organization. QuickSight dashboards can be authored on any modern web browser with no clients to install or manage; dashboards can be shared with 10s of 1000s of users without the need to provision or manage any infrastructure. QuickSight dashboards can also be seamlessly embedded into your applications, portals, and websites to provide rich, interactive analytics for end-users.
With this launch, QuickSight expands to 22 regions, including: US East (Ohio and N. Virginia), US West (Oregon), Europe (Stockholm, Paris, Frankfurt, Ireland, London, Milan and Zurich), Asia Pacific (Mumbai, Seoul, Singapore, Sydney, Beijing, Tokyo and Jakarta), Canada (Central), South America (São Paulo), Africa (Cape Town) and AWS GovCloud (US-East, US-West).
Amazon QuickSight is now available in the AWS GovCloud (US-East) Region. AWS GovCloud (US) Regions are isolated AWS Regions designed to host sensitive data and regulated workloads in the cloud, assisting customers who have United States federal, state, or local government compliance requirements. Amazon QuickSight is a fast, scalable, and fully managed Business Intelligence service that lets you easily create and publish interactive dashboards across your organization. QuickSight dashboards can be authored on any modern web browser with no clients to install or manage; dashboards can be shared with 10s of 1000s of users without the need to provision or manage any infrastructure. QuickSight dashboards can also be seamlessly embedded into your applications, portals, and websites to provide rich, interactive analytics for end-users. With this launch, QuickSight expands to 22 regions, including: US East (Ohio and N. Virginia), US West (Oregon), Europe (Stockholm, Paris, Frankfurt, Ireland, London, Milan and Zurich), Asia Pacific (Mumbai, Seoul, Singapore, Sydney, Beijing, Tokyo and Jakarta), Canada (Central), South America (São Paulo), Africa (Cape Town) and AWS GovCloud (US-East, US-West). To learn more about Amazon QuickSight, please see our product page, documentation and available regions here.
Today, we are announcing the general availability of Amazon Bedrock Data Automation (BDA), a feature of Amazon Bedrock that enables developers to automate the generation of valuable insights from unstructured multimodal content such as documents, images, video, and audio to build GenAI-based applications. By leveraging BDA, developers can reduce development time and effort, making it easier to build intelligent document processing, media analysis, and other multimodal data-centric automation solutions. BDA can be used as a standalone feature or as a parser in Amazon Knowledge Bases RAG workflows. Further, Amazon Q Business now uses BDA to process multimodal assets and deliver insights.
In this GA release, we improved document accuracy across a variety of document types, enhanced scene-level and full video summarization accuracy, added support for detection of 35,000+ company logos in images and videos, and added support for AWS cross-region inference to optimize routing across regions within your geography to maximize throughput. BDA also added a number of security, governance, and manageability capabilities such as AWS Key Management Service (KMS) Customer Managed Keys (CMKs) support for encryption, AWS PrivateLink to connect directly to the BDA APIs in your virtual private cloud (VPC) instead of connecting over the internet, and tagging of BDA resources and jobs to track costs and enforce tag-based access policies in Amazon Identity and Access Management (IAM).
Amazon Bedrock Data Automation is now generally available in the US West (Oregon) and US East (N. Virginia) AWS Regions.
Today, we are announcing the general availability of Amazon Bedrock Data Automation (BDA), a feature of Amazon Bedrock that enables developers to automate the generation of valuable insights from unstructured multimodal content such as documents, images, video, and audio to build GenAI-based applications. By leveraging BDA, developers can reduce development time and effort, making it easier to build intelligent document processing, media analysis, and other multimodal data-centric automation solutions. BDA can be used as a standalone feature or as a parser in Amazon Knowledge Bases RAG workflows. Further, Amazon Q Business now uses BDA to process multimodal assets and deliver insights. In this GA release, we improved document accuracy across a variety of document types, enhanced scene-level and full video summarization accuracy, added support for detection of 35,000+ company logos in images and videos, and added support for AWS cross-region inference to optimize routing across regions within your geography to maximize throughput. BDA also added a number of security, governance, and manageability capabilities such as AWS Key Management Service (KMS) Customer Managed Keys (CMKs) support for encryption, AWS PrivateLink to connect directly to the BDA APIs in your virtual private cloud (VPC) instead of connecting over the internet, and tagging of BDA resources and jobs to track costs and enforce tag-based access policies in Amazon Identity and Access Management (IAM). Amazon Bedrock Data Automation is now generally available in the US West (Oregon) and US East (N. Virginia) AWS Regions. To learn more, visit the Bedrock Data Automation page.
Today, AWS IoT Device Management announces the preview of managed integrations, a new feature that enables you to simplify control and management of a diverse set of devices across multiple manufacturers and connectivity protocols. The new feature helps you streamline cloud onboarding of Internet of Things (IoT) devices and enables you to control both self-managed and third-party devices, including cloud-based devices, from a single application.
Managed integrations provides cloud and device Software Development Kits (SDKs) for device connectivity and protocol support for ZigBee, Z-Wave, and Wi-Fi specifications, eliminating the need to handle dedicated connectivity protocols from different manufacturers separately. A unified API coupled with a catalog of cloud-to-cloud connectors and 80+ device data model templates enable you to control both proprietary and third-party devices from a single application. Additionally, you can easily process and integrate device data from those devices for building home security, energy management, and elderly care monitoring solutions. Managed integrations for AWS IoT Device Management also provides built-in capabilities for barcode scanning and direct pairing of devices, delivering additional mechanisms to simplify device onboarding and integration complexities.
The managed integrations feature is available in Canada (Central) and Europe (Ireland) AWS Regions. To learn more, see technical documentation and read this blog. To get started, log in to the AWS IoT console or use the AWS Command Line Interface (AWS CLI).
Today, AWS IoT Device Management announces the preview of managed integrations, a new feature that enables you to simplify control and management of a diverse set of devices across multiple manufacturers and connectivity protocols. The new feature helps you streamline cloud onboarding of Internet of Things (IoT) devices and enables you to control both self-managed and third-party devices, including cloud-based devices, from a single application. Managed integrations provides cloud and device Software Development Kits (SDKs) for device connectivity and protocol support for ZigBee, Z-Wave, and Wi-Fi specifications, eliminating the need to handle dedicated connectivity protocols from different manufacturers separately. A unified API coupled with a catalog of cloud-to-cloud connectors and 80+ device data model templates enable you to control both proprietary and third-party devices from a single application. Additionally, you can easily process and integrate device data from those devices for building home security, energy management, and elderly care monitoring solutions. Managed integrations for AWS IoT Device Management also provides built-in capabilities for barcode scanning and direct pairing of devices, delivering additional mechanisms to simplify device onboarding and integration complexities. The managed integrations feature is available in Canada (Central) and Europe (Ireland) AWS Regions. To learn more, see technical documentation and read this blog. To get started, log in to the AWS IoT console or use the AWS Command Line Interface (AWS CLI).
AWS announces the preview of new AWS Outposts racks designed specifically for on-premises high throughput, network-intensive workloads. With these new Outposts racks, telecom service providers (telcos) can extend AWS infrastructure and services to telco locations, enabling them to deploy on-premises network functions requiring low latency, high throughput, and real-time performance.
The new Outposts racks feature new Amazon Elastic Compute Cloud (Amazon EC2) 4th Generation Intel Xeon Scalable-based (Sapphire Rapids) bare metal instances along with a high-performance bare metal network fabric. This architecture delivers the low latency and high throughput required for demanding 5G workloads, such as User Plane Function (UPF) and Radio Access Network (RAN) Central Unit (CU) network functions.
Telcos can now use Amazon EKS (Elastic Kubernetes Service) and built-in EKS add-ons to automate deployment and scaling of micro-services based 5G network functions for high throughput and performance. Telcos can now use the same AWS infrastructure, AWS services, APIs, tools, and a common continuous integration and continuous delivery (CI/CD) pipeline wherever their workloads reside. This consistent cloud experience eases operational burden, reduces integration costs, and maximizes new feature development velocity for operators.
The new AWS Outposts racks are currently available in preview in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Frankfurt), and Asia Pacific (Singapore).
AWS announces the preview of new AWS Outposts racks designed specifically for on-premises high throughput, network-intensive workloads. With these new Outposts racks, telecom service providers (telcos) can extend AWS infrastructure and services to telco locations, enabling them to deploy on-premises network functions requiring low latency, high throughput, and real-time performance. The new Outposts racks feature new Amazon Elastic Compute Cloud (Amazon EC2) 4th Generation Intel Xeon Scalable-based (Sapphire Rapids) bare metal instances along with a high-performance bare metal network fabric. This architecture delivers the low latency and high throughput required for demanding 5G workloads, such as User Plane Function (UPF) and Radio Access Network (RAN) Central Unit (CU) network functions. Telcos can now use Amazon EKS (Elastic Kubernetes Service) and built-in EKS add-ons to automate deployment and scaling of micro-services based 5G network functions for high throughput and performance. Telcos can now use the same AWS infrastructure, AWS services, APIs, tools, and a common continuous integration and continuous delivery (CI/CD) pipeline wherever their workloads reside. This consistent cloud experience eases operational burden, reduces integration costs, and maximizes new feature development velocity for operators. The new AWS Outposts racks are currently available in preview in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Frankfurt), and Asia Pacific (Singapore).
Amazon Connect now supports outbound campaign calling to Brazil in the US East (Virginia) and US West (Oregon) regions, making it easier to proactively communicate across voice, SMS, and email for use cases such as delivery notifications, marketing promotions, appointment reminders, or debt collection. Communication capabilities include features such as point-of-dial checks, calling controls for time of day, time zone, number of attempts per contact, and predictive dialing with integrated voicemail detection. A list management capability provided by Amazon Pinpoint can also be used to build customer journeys and multi-channel user contact experiences. Outbound campaigns can be enabled within the AWS Connect Console.
With Amazon Connect outbound campaigns, you only pay-as-you-go for the high-volume outbound service usage, associated telephony charges and any monthly target audience charges via Amazon Pinpoint. To learn more, visit our webpage.
Amazon Connect now supports outbound campaign calling to Brazil in the US East (Virginia) and US West (Oregon) regions, making it easier to proactively communicate across voice, SMS, and email for use cases such as delivery notifications, marketing promotions, appointment reminders, or debt collection. Communication capabilities include features such as point-of-dial checks, calling controls for time of day, time zone, number of attempts per contact, and predictive dialing with integrated voicemail detection. A list management capability provided by Amazon Pinpoint can also be used to build customer journeys and multi-channel user contact experiences. Outbound campaigns can be enabled within the AWS Connect Console. With Amazon Connect outbound campaigns, you only pay-as-you-go for the high-volume outbound service usage, associated telephony charges and any monthly target audience charges via Amazon Pinpoint. To learn more, visit our webpage.
AWS Amplify now supports HttpOnly cookies for server-rendered Next.js applications when using Amazon Cognito’s Managed Login. This enhancement builds upon existing cookie functionality in server-rendered sites, opting in to the HttpOnly attribute strengthens your application’s security posture by blocking client-side JavaScript from accessing cookie contents.
With HttpOnly cookies, your applications gain an additional layer of protection against cross-site scripting (XSS) attacks. This ensures that sensitive information remains secure and will only be transmitted between the browser and the server, and is particularly valuable when handling authentication tokens in your web applications. The contents of cookies with HttpOnly attributes can only be read by the server, requiring your requests to flow through the server before reaching other services.
This feature is now available in all AWS regions where AWS Amplify and Amazon Cognito are supported.
AWS Amplify now supports HttpOnly cookies for server-rendered Next.js applications when using Amazon Cognito’s Managed Login. This enhancement builds upon existing cookie functionality in server-rendered sites, opting in to the HttpOnly attribute strengthens your application’s security posture by blocking client-side JavaScript from accessing cookie contents. With HttpOnly cookies, your applications gain an additional layer of protection against cross-site scripting (XSS) attacks. This ensures that sensitive information remains secure and will only be transmitted between the browser and the server, and is particularly valuable when handling authentication tokens in your web applications. The contents of cookies with HttpOnly attributes can only be read by the server, requiring your requests to flow through the server before reaching other services. This feature is now available in all AWS regions where AWS Amplify and Amazon Cognito are supported. To learn more, visit the AWS Amplify documentation for Server-Side Rendering.
Conozcan Microsoft Dragon Copilot: su nuevo asistente de IA para el flujo de trabajo clínico
Por: Kees Hertogh, vicepresidente de marketing de salud y ciencias de la vida.
HIMSS 2025 ha llegado. Nos complace anunciar el lanzamiento de Microsoft Dragon Copilot, una nueva solución innovadora que transforma la forma en que trabajan los médicos. Únanse a nosotros en el stand #2221 para ver las últimas innovaciones en acción, experimentar demostraciones prácticas, participar en una experiencia teatral y conocer a nuestros expertos en productos. No los decepcionaremos.
Durante más de dos décadas, hemos brindado de manera constante, capacidades de voz front-end que han ayudado a los médicos a documentar miles de millones de registros de pacientes y que se han convertido en una piedra angular de la documentación clínica. Hace cinco años, dimos un importante paso adelante al ser pioneros en la categoría de IA ambiental en la atención médica. Hoy, anunciamos la integración de estas tecnologías probadas con IA generativa ajustada, salvaguardas adaptadas a la atención médica y nuevas capacidades en una plataforma escalable. Esta poderosa combinación brinda niveles sin precedentes de eficiencia y atención, ofreciendo beneficios de gran alcance para todos.
Nuestras sólidas soluciones de voz han brindado resultados consistentes para médicos, pacientes y organizaciones de atención médica. Resultados como 5 minutos de ahorro de tiempo por encuentro en promedio que han habilitado 13 espacios de citas adicionales por proveedor, por mes.1 Una mejora del 70% en el equilibrio entre la vida laboral y personal del clínico y la reducción de los sentimientos de agotamiento y fatiga.1 Y la entrega de mejores experiencias al paciente, donde el 93% de los pacientes dicen que su médico es más agradable y conversacional debido a nuestra tecnología.2
Dragon Copilot se basa en esta evolución para optimizar la documentación, la información superficial y automatizar las tareas en todos los entornos de atención. Se trata de un espacio de trabajo extensible por IA que ofrece una experiencia unificada, se integra con historias clínicas electrónicas (EHR, por sus siglas en inglés) como Epic y apoya a los médicos en todas las etapas de su flujo de trabajo. Como parte de Microsoft Cloud for Healthcare, se basa en una arquitectura segura y moderna y puede llevar la productividad clínica a nuevas alturas, al tiempo que ayuda a impulsar el bienestar de los médicos y la experiencia del paciente, lo que aumenta la eficiencia y mejora el impacto financiero.
Optimicen la documentación con nuevos niveles de personalización
Dragon Copilot utiliza los últimos modelos de IA para ayudar a producir documentación precisa de manera eficiente y consistente.
Crear documentación clínica de manera automática: Captura conversaciones y pedidos multilingües entre el paciente y el médico durante la visita y los convierte en notas de alta calidad, completas y específicas de la especialidad, lo que permite a los médicos conectarse con los pacientes en lugar de con las pantallas.
¿No hay internet? No hay problema: las grabaciones se capturan y procesan una vez que los usuarios se vuelven a conectar.
Producir documentación personalizable de alta calidad: Permite a los médicos personalizar la documentación, guardar plantillas, indicaciones de IA y texto de uso frecuente.
Hablar con naturalidad: Proporciona capacidades de voz en lenguaje natural, dictado en el cursor, vocabularios personalizados y capacidades intuitivas de corrección de voz en todos los dispositivos.
Saquen a la luz la información sin salir de su flujo de trabajo
Desde consultar notas y obtener información médica hasta recibir sugerencias de grabación de encuentros, Dragon Copilot brinda a los usuarios acceso a la información pertinente cuando la necesitan.
Notas de consulta: Proporciona detalles y responde preguntas como si un paciente toma un determinado medicamento, tiene antecedentes familiares relevantes o mencionó algo específico durante la conversación. Copilot utiliza transcripciones de conversaciones y notas para atender sus solicitudes.
Obtener información médica creíble: Los médicos pueden acceder a una amplia gama de información médica y temas clínicos, lo que les permite consultar los protocolos más recientes para controlar una afección o verificar las interacciones medicamentosas, por ejemplo. Dragon Copilot utiliza IA conectada a tierra con citas para garantizar la confianza en sus respuestas.
Recibir sugerencias: Crea notas más completas. Dragon Copilot analiza la transcripción y hace sugerencias para ayudar a los médicos a capturar información específica, como la temperatura, el IMC y los antecedentes familiares.
Hacer un buen uso de los datos conversacionales: obtengan información a gran escala con Microsoft Fabric y Dragon Copilot. Aprovechen los datos del punto de atención para analizar mejor el uso y la adopción y ayudar a mejorar la investigación, la atención al paciente, la participación, la divulgación y más.
«El uso de todas estas herramientas juntas va a ser un gran asistente en la habitación y en el consultorio para cuidar al paciente. Es en verdad extraordinario». Dr. Lance Owens, director de información médica, University of Michigan Health-West
Automaticen tareas con un solo clic
Dragon Copilot ayuda a los médicos a automatizar las tareas clínicas y no clínicas. Desde resumir notas y pruebas, hasta preparar órdenes y redactar cartas de derivación y resúmenes después de la visita, ahorra tiempo y aumenta la productividad y la eficiencia del médico.
Simplificar los pedidos: capturen en automático más de una docena de tipos de pedidos durante las conversaciones entre médicos y pacientes. Con los EHR compatibles, los pedidos se introducen directo en el módulo de pedidos de EHR.
Resumir las notas: obtengan una sinopsis instantánea de cada encuentro, incluidos hechos y detalles clave, lo que agiliza el flujo de trabajo y reduce la carga cognitiva. Dragon Copilot hace que sea fácil obtener un repaso rápido sobre el paciente antes de finalizar una nota.
Resumir las pruebas: Reciba algo más que notas enlazadas a las transcripciones. Dragon Copilot selecciona la evidencia del diagnóstico a partir de elementos subjetivos como los síntomas, elementos objetivos como laboratorios e imágenes, y otra información relevante compartida durante el encuentro.
Crear cartas de referencia: Hagan que Dragon Copilot redacte de manera rápida una carta de referencia a partir de notas clínicas por medio la información recopilada durante un encuentro. Extrae en automático los detalles clave, incluido el historial médico, los servicios solicitados y los resultados pertinentes de pruebas o imágenes, y los reutiliza para la carta.
Generar resúmenes posteriores a la visita: Dragon Copilot convierte la documentación clínica de las visitas de encuentro en resúmenes escritos para después de la visita fáciles de usar para el paciente, lo que proporciona una referencia fácil para los aspectos clínicos más destacados y las indicaciones importantes.
«Esta es una transformación completa… Lo va a hacer más fácil, más eficiente y nos ayudará a brindar una atención de mejor calidad a los pacientes». Dr. Anthony Mazzarelli, copresidente y director ejecutivo de Cooper University Health Care
Verdadero acceso desde cualquier lugar
Desde una aplicación web con todas las funciones sin instalación de cliente, hasta aplicaciones móviles y de escritorio dedicadas con funcionalidad adicional, Dragon Copilot va a donde quiera que vayan. Y para una eficiencia aún mayor del flujo de trabajo, Dragon Copilot está integrado de forma nativa en los EHR compatibles.
Accedan a la capacitación y el soporte en la aplicación, cuando y donde sea más conveniente
Dragon Copilot ofrece algunos de los mejores productos, soporte e información para ayudar a las organizaciones sanitarias a sacar el máximo partido a su inversión en IA.
Capacitación bajo demanda: los videos de capacitación en la aplicación y el contenido bajo demanda brindan acceso al contenido de capacitación.
Chat en vivo integrado y sala de soporte virtual: ¿Necesitan ayuda? Dragon Copilot viene con soporte inmediato sin salir de la aplicación y una sala de soporte virtual atendida por expertos.
Comentarios sobre el producto y la IA: los comentarios en la aplicación y los canales dedicados permiten a los médicos calificar Dragon Copilot y proporcionar comentarios que ayudan a mejorar la experiencia del producto, la calidad de las notas y las respuestas de la IA.
Nuestro amplio ecosistema de socios
Dragon Copilot se ve reforzado por nuestra colaboración con expertos de la industria de la salud en nuestro ecosistema global de socios de confianza. Trabajamos con los principales proveedores de software independientes (ISV, por sus siglas en inglés), integradores de sistemas (SI, por sus siglas en inglés) y proveedores de servicios en la nube (CSP, por sus siglas en inglés) para que nuestros clientes de todas las regiones puedan acceder a las soluciones y ofertas de atención médica que necesitan.
Dragon Copilot llega a ustedes
Dragon Copilot estará disponible de forma general en Estados Unidos y Canadá en mayo de 2025, seguido de Reino Unido, Alemania, Francia y Países Bajos. Microsoft también se compromete a llevar una nueva experiencia de Dragon a otros mercados clave que utilizan Dragon Medical en la actualidad.
Construido sobre una base de confianza
Nos dedicamos a ayudar a los clientes a usar y crear una IA que sea confiable, segura y privada. Mediante el uso de la iniciativa Microsoft Secure Future, admitimos los estándares más altos de seguridad, privacidad y cumplimiento. Nuestra IA se alinea con las prácticas de IA responsable de Microsoft e incorpora salvaguardas clínicas, de chat y de cumplimiento específicas de la atención médica para garantizar resultados precisos y seguros. Además, nuestros datos se basan en principios de privacidad, están respaldados por políticas transparentes y protegidos por rigurosas medidas de seguridad.
«Microsoft ha invertido mucho en seguridad. Me da la tranquilidad de que Dragon Copilot sea parte de toda la suite de Microsoft». Novlet Mattis, vicepresidente sénior, director digital y de información, Orlando Health
Amazon Connect now allows agents to exchange shifts with each other, providing greater schedule flexibility without compromising service levels. With this launch, agents can initiate shift trades directly, allowing them to manage unexpected life events without using time off. Additionally, contact center managers can now automate some approvals while ensuring others are approved manually — reducing admin work without sacrificing controls when needed. For example, supervisors can automate approvals for agents handling non-critical tasks, such as routine customer inquiries, while manually approving requests from agents who handle sensitive customer segments, like healthcare or high-value enterprise accounts.
Amazon Connect now allows agents to exchange shifts with each other, providing greater schedule flexibility without compromising service levels. With this launch, agents can initiate shift trades directly, allowing them to manage unexpected life events without using time off. Additionally, contact center managers can now automate some approvals while ensuring others are approved manually — reducing admin work without sacrificing controls when needed. For example, supervisors can automate approvals for agents handling non-critical tasks, such as routine customer inquiries, while manually approving requests from agents who handle sensitive customer segments, like healthcare or high-value enterprise accounts. This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more and get started, visit the Amazon Connect agent scheduling guide or watch the Amazon Connect Enablement shift exchange videos, for a step by step walkthrough of this feature.
