Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M6id instances are available in Europe (Spain) Region. These instances are powered by 3rd generation Intel Xeon Scalable Ice Lake processors with an all-core turbo frequency of 3.5 GHz and up to 7.6 TB of local NVMe-based SSD block-level storage.
M6id instances are built on AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security. Customers can take advantage of access to high-speed, low-latency local storage to scale performance of applications such data logging, distributed web-scale in-memory caches, in-memory databases, and real-time big data analytics.
Customers can purchase the new instances via Savings Plans, Reserved, On-Demand, and Spot instances. To get started, visit AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit our product page for M6id.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M6id instances are available in Europe (Spain) Region. These instances are powered by 3rd generation Intel Xeon Scalable Ice Lake processors with an all-core turbo frequency of 3.5 GHz and up to 7.6 TB of local NVMe-based SSD block-level storage. M6id instances are built on AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security. Customers can take advantage of access to high-speed, low-latency local storage to scale performance of applications such data logging, distributed web-scale in-memory caches, in-memory databases, and real-time big data analytics. Customers can purchase the new instances via Savings Plans, Reserved, On-Demand, and Spot instances. To get started, visit AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit our product page for M6id.
Amazon RDS Custom for SQL Server now supports Change Data Capture (CDC). In Microsoft SQL Server, CDC is a feature that utilizes the SQL Server Agent to log insertions, updates, and deletions occurring in a database table, and makes these data changes accessible to applications in a relational format to provide historical context.
Amazon RDS Custom for SQL Server is a managed database service that allows customers to bring-your-own-license (BYOL) for Microsoft SQL Server. When you configure CDC in Amazon RDS Custom for SQL Server, RDS automatically applies your specified configurations when the underlying hardware needs to be replaced, or when you scale up to use a larger database instance. Thus, RDS Custom for SQL Server removes the operational overhead of setting up and verifying configurations in different operational situations.
CDC is available in all AWS Regions where RDS Custom for SQL Server is available.
Amazon RDS Custom for SQL Server now supports Change Data Capture (CDC). In Microsoft SQL Server, CDC is a feature that utilizes the SQL Server Agent to log insertions, updates, and deletions occurring in a database table, and makes these data changes accessible to applications in a relational format to provide historical context. Amazon RDS Custom for SQL Server is a managed database service that allows customers to bring-your-own-license (BYOL) for Microsoft SQL Server. When you configure CDC in Amazon RDS Custom for SQL Server, RDS automatically applies your specified configurations when the underlying hardware needs to be replaced, or when you scale up to use a larger database instance. Thus, RDS Custom for SQL Server removes the operational overhead of setting up and verifying configurations in different operational situations. CDC is available in all AWS Regions where RDS Custom for SQL Server is available.
Amazon S3 Inventory’s capability to include access control lists (ACLs) as object metadata in inventory reports is now available in AWS GovCloud (US) Regions. This allows you to easily review ACLs on all of your objects to simplify review of access permissions. ACLs were the original way to manage object access when S3 launched in 2006. Now, when migrating to IAM-based bucket policies for access control, you can easily review all of the object ACLs in your buckets before enabling S3 Object Ownership.
S3 Inventory provides a complete list of objects in a bucket and their corresponding metadata. The Object ACLs fields include details about the object owner and the grantee along with their permission granted. You can now activate reporting on object ACLs by editing existing S3 Inventory configurations in the AWS Management Console or API.
By enabling S3 Object Ownership, you can change how S3 performs access control for a bucket so that only IAM policies are used. S3 Object Ownership’s ‘Bucket owner enforced’ setting disables ACLs for your bucket and the objects in it, and updates every object so that each object is owned by the bucket owner. We recommend that you carefully review your use of ACLs with inventory reports, migrate to IAM-based bucket policies, and then disable ACLs with S3 Object Ownership. For more information, see Controlling ownership of objects and disabling ACLs for your bucket.
Amazon S3 Inventory support for Object ACL is generally available at no additional charge in all AWS Commercial and AWS GovCloud (US) Regions, where Amazon S3 Inventory is available. To learn more, please visit Amazon S3 Inventory and Amazon S3 pricing.
Amazon S3 Inventory’s capability to include access control lists (ACLs) as object metadata in inventory reports is now available in AWS GovCloud (US) Regions. This allows you to easily review ACLs on all of your objects to simplify review of access permissions. ACLs were the original way to manage object access when S3 launched in 2006. Now, when migrating to IAM-based bucket policies for access control, you can easily review all of the object ACLs in your buckets before enabling S3 Object Ownership. S3 Inventory provides a complete list of objects in a bucket and their corresponding metadata. The Object ACLs fields include details about the object owner and the grantee along with their permission granted. You can now activate reporting on object ACLs by editing existing S3 Inventory configurations in the AWS Management Console or API. By enabling S3 Object Ownership, you can change how S3 performs access control for a bucket so that only IAM policies are used. S3 Object Ownership’s ‘Bucket owner enforced’ setting disables ACLs for your bucket and the objects in it, and updates every object so that each object is owned by the bucket owner. We recommend that you carefully review your use of ACLs with inventory reports, migrate to IAM-based bucket policies, and then disable ACLs with S3 Object Ownership. For more information, see Controlling ownership of objects and disabling ACLs for your bucket. Amazon S3 Inventory support for Object ACL is generally available at no additional charge in all AWS Commercial and AWS GovCloud (US) Regions, where Amazon S3 Inventory is available. To learn more, please visit Amazon S3 Inventory and Amazon S3 pricing.
Sistemas CRM agénticos: Aprendizajes de las organizaciones que han hecho el cambio
Por: Nitasha Chopra, vicepresidenta y directora de operaciones de aplicaciones empresariales.
Los sistemas CRM han recorrido un largo camino desde su creación en la década de 1990. Lo que comenzó como rolodexes digitales evolucionó a lo largo de las décadas para acomodar el alojamiento en la nube, el acceso móvil y las integraciones en toda la pila tecnológica de una organización. Pero para muchas empresas, la experiencia principal de usar un sistema CRM no ha seguido el ritmo de las expectativas cambiantes de los clientes modernos o las realidades de las personas que administran esas relaciones.
Los sistemas CRM heredados a menudo dependen en gran medida de la entrada manual de datos. Son difíciles de adaptar a medida que las empresas crecen y, con frecuencia, están diseñados más para generar informes que para permitir que los vendedores, los especialistas en marketing y los equipos de servicio tengan éxito en tiempo real. Si bien esto podría haber sido suficiente cuando los representantes de campo tenían horas entre las visitas a los clientes o cuando los agentes de servicio tenían tiempo para escribir notas de llamada detalladas, esas condiciones ya no existen.
Los clientes de hoy hacen sus deberes. Investigan de forma independiente, interactúan a través de múltiples canales digitales y esperan experiencias fluidas y personalizadas. Mientras tanto, los equipos de cara al cliente necesitan herramientas que funcionen en el flujo de su día, no que añadan fricción. Las empresas que intentan satisfacer estas demandas con los sistemas de ayer han comenzado ya a sentir la presión.
Con Microsoft Dynamics 365, las organizaciones adoptan un enfoque moderno y agentivo que redefine la productividad y la interacción con el cliente. Las capacidades integradas de Microsoft Copilot ayudan a los vendedores y agentes de servicio al cliente a trabajar de manera más inteligente mediante la generación de contenido, la obtención de información y el resumen de las interacciones con los clientes.
Los agentes de IA van un paso más allá, automatizan tareas repetitivas y permiten que los equipos se centren en lo que en verdad importa: establecer relaciones y cerrar acuerdos. En un futuro próximo, los sistemas CRM heredados se convertirán en sistemas en segundo plano, mientras que los flujos de trabajo impulsados por IA ocuparán un lugar central.
Juntos, los copilotos y los agentes pueden acelerar los resultados de su negocio. Por ejemplo, imaginen a un representante de ventas preparándose para una gran reunión con un cliente. Copilot puede reunir un resumen de las interacciones recientes con los clientes, generar un discurso personalizado basado en los detalles de la cuenta y sugerir estudios de casos que puedan ser relevantes para el cliente. Mientras tanto, un agente de IA trabaja en segundo plano, para registrar las consultas de los clientes, activar tareas de seguimiento y actualizar el canal de ventas en función de las interacciones en tiempo real.
Desafíos comunes del sistema de CRM y cómo los resuelve un enfoque de CRM agéntico
Microsoft ha trabajado con cientos de empresas que navegan por la modernización del sistema CRM, y aunque cada viaje es único, varios puntos débiles surgen una y otra vez. A continuación, se muestran los desafíos más comunes y cómo las organizaciones los superan con Dynamics 365.
El reto: sistemas dispares y silos de datos
Los sistemas CRM heredados a menudo se encuentran al margen de las herramientas que los empleados usan todos los días. Los líderes de ventas tienen que saltar de un sistema a otro para obtener una visión completa del cliente, lo que se traduce en pérdida de tiempo, datos incoherentes y experiencias desconectadas tanto para los empleados como para los clientes.
La solución: una plataforma unificada
Dynamics 365 proporciona una plataforma unificada para ventas, marketing y servicio. Reúne datos internos y externos en un solo lugar a través de Microsoft Dataverse y se conecta con las herramientas de Microsoft en las que las personas ya confían, como Microsoft Teams, Outlook y Microsoft Power BI. Eso significa que hay información relevante disponible en el flujo de trabajo y que las actualizaciones se realizan en tiempo real, lo que puede reducir el esfuerzo manual y mejorar la precisión.
El reto: la falta de innovación
Muchas organizaciones tratan de adaptar la IA a sistemas que no fueron creados para ella. Como resultado, se pierden el verdadero potencial de la IA para personalizar la interacción, sugerir los próximos pasos y automatizar el trabajo que requiere mucho tiempo.
La solución: la integración de la IA
Dynamics 365 está construido con la IA en su núcleo. Con las capacidades integradas de Copilot, los vendedores pueden redactar correos electrónicos, generar propuestas y resumir reuniones en función de los datos de los clientes en tiempo real. Los agentes de IA van aún más lejos al manejar flujos de trabajo completos, como calificar prospectos o hacer un seguimiento de las consultas de los clientes. Con herramientas como el Agente de ventas, el Chat de ventas y el Agente de calificación de ventas, los equipos de ventas pueden escalar su impacto y centrarse en interacciones de alto valor.
El reto: alto coste total de propiedad
Los sistemas CRM heredados a menudo requieren complementos costosos, integraciones de terceros y mantenimiento continuo. Los sistemas que antes parecían rápidos de implementar se vuelven difíciles de escalar o adaptar y agotan recursos en lugar de ofrecer valor.
La solución: Valor de negocio a través de la consolidación
Dynamics 365 consolida las capacidades en una sola plataforma, lo que reduce la redundancia y desbloquea la eficiencia. Dado que utiliza herramientas que muchas empresas ya utilizan, como Microsoft 365, Microsoft Azure y Power BI, las organizaciones pueden sacar más partido a sus inversiones existentes.
ABN AMRO, uno de los bancos más grandes de los Países Bajos, adoptó Microsoft Dynamics 365 Customer Service y Microsoft Dynamics 365 Sales y ha reducido el costo total de propiedad de su plataforma de participación del cliente hasta en un 40%.
Resultados del mundo real: cómo se ve un sistema CRM agéntico en acción
Las empresas que han dado el salto a Dynamics 365 ya han comenzado a ver un impacto medible, incluidos ciclos de ventas más cortos, una mejor capacidad de respuesta y una mayor satisfacción del cliente.
Por ejemplo, Lenovo, líder mundial en soluciones tecnológicas, utilizó Dynamics 365 para crear una visión global unificada de la actividad de los clientes e impulsar su transformación digital de ventas.
«Hemos visto el beneficio de tener un sistema estandarizado y una visión global de las actividades de todas las geografías. Esta es la base para la transformación digital de ventas de Lenovo, lo que permite mejores conexiones y un aumento en la productividad de las ventas y la información procesable».
Wei Bi, director senior de estrategia empresarial de Lenovo
Lexmark, un innovador global en soluciones de impresión e Internet de las cosas (IoT, por sus siglas en inglés) respaldadas por la nube, migró de Salesforce a Dynamics 365 para optimizar y modernizar sus operaciones de ventas.
«Hemos estado en el recorrido con Microsoft después de pasar de Salesforce a Dynamics 365 Sales. Estamos entusiasmados de ser uno de los primeros clientes en utilizar Sales Qualification Agent y esperamos tener la capacidad de ampliar nuestro equipo de ventas con agentes y brindar una experiencia excepcional a nuestros clientes».
Kyle Farmer, vicepresidente de ventas globales y estrategia, Lexmark
Gardens Alive reemplazó su sistema CRM heredado con Dynamics 365 Customer Service, al integrar canales de voz, chat y correo electrónico a través de conectores de terceros y enrutamiento unificado. El resultado fue una mejora de más del 7% en la prestación del servicio al cliente.
Y el impulso continúa. En nuestras ganancias del tercer trimestre del año fiscal 2025, Satya Nadella declaró: «En lo que respecta a las aplicaciones comerciales, Dynamics 365 volvió a tomar participación a medida que empresas como Avaya, Brunswick y SoftCat cambiaron a (Dynamics 365) desde proveedores heredados. Verizon, por ejemplo, eligió Dynamics 365 Sales para mejorar la eficiencia de sus vendedores».
Más que un sistema CRM, Microsoft es un recurso estratégico en su recorrido de transformación
Para los CRO y los CSO, la decisión de modernizar los sistemas de CRM va más allá de la actualización de la tecnología. Se trata de desbloquear un nuevo potencial. Las empresas quieren algo más que un proveedor; buscan un socio estratégico que les ayude a navegar por el cambio, escalar de forma inteligente y liderar con datos y empatía.
Con Dynamics 365, Microsoft no solo aporta una potente plataforma de CRM y ERP, sino también un ecosistema global de experiencia en ventas, ingeniería y transformación empresarial. ¿El resultado? Un sistema de CRM intuitivo, conectado y preparado para el futuro, para que las empresas puedan ofrecer experiencias de cliente destacadas e impulsar un crecimiento sostenible.
¿Están listos para explorar su propio recorrido hacia el sistema CRM de agentes?
You can now view a global summary of policies that grant external access to buckets across your AWS account, directly from the Amazon S3 console. This summary lets you identify S3 buckets in any AWS Region that allow public access or access from other AWS accounts, without needing to inspect policies in each AWS Region individually.
The External access summary is powered by AWS IAM Access Analyzer and is available at no additional cost in the S3 console in all AWS Regions. Visit the S3 User Guide to learn more.
You can now view a global summary of policies that grant external access to buckets across your AWS account, directly from the Amazon S3 console. This summary lets you identify S3 buckets in any AWS Region that allow public access or access from other AWS accounts, without needing to inspect policies in each AWS Region individually. The External access summary is powered by AWS IAM Access Analyzer and is available at no additional cost in the S3 console in all AWS Regions. Visit the S3 User Guide to learn more.
Amazon MQ is now available in a new region, Asia Pacific (Taipei) Region. With this launch, Amazon MQ is now available in a total of 37 regions.
Amazon MQ is a managed message broker service for open-source Apache ActiveMQ and RabbitMQ that makes it easier to set up and operate message brokers on AWS. Amazon MQ reduces your your operational responsibilities by managing the provisioning, setup, and maintenance of message brokers for you. Because Amazon MQ connects to your current applications with industry-standard APIs and protocols, you can more easily migrate to AWS without having to rewrite code.
Amazon MQ is now available in a new region, Asia Pacific (Taipei) Region. With this launch, Amazon MQ is now available in a total of 37 regions. Amazon MQ is a managed message broker service for open-source Apache ActiveMQ and RabbitMQ that makes it easier to set up and operate message brokers on AWS. Amazon MQ reduces your your operational responsibilities by managing the provisioning, setup, and maintenance of message brokers for you. Because Amazon MQ connects to your current applications with industry-standard APIs and protocols, you can more easily migrate to AWS without having to rewrite code. For more information, please visit the Amazon MQ product page, and see the AWS Region Table for complete regional availability.
Amazon Relational Database Service (Amazon RDS) for SQL Server now supports Cumulative Update 19 (CU19 – 16.0.4185.3) for SQL Server 2022. This CU includes performance improvements and bug fixes, and is available for SQL Server Express, Web, Standard, and Enterprise editions. Review the Microsoft release notes for CU19 for details.
We recommend that you upgrade to this latest CU to benefit from the performance improvements and bug fixes. You can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS SDK or CLI. Learn more about upgrading your database instances from the Amazon RDS User Guide.
Amazon Relational Database Service (Amazon RDS) for SQL Server now supports Cumulative Update 19 (CU19 – 16.0.4185.3) for SQL Server 2022. This CU includes performance improvements and bug fixes, and is available for SQL Server Express, Web, Standard, and Enterprise editions. Review the Microsoft release notes for CU19 for details. We recommend that you upgrade to this latest CU to benefit from the performance improvements and bug fixes. You can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS SDK or CLI. Learn more about upgrading your database instances from the Amazon RDS User Guide. This CU is available in all AWS regions where Amazon RDS for SQL Server is available. See Amazon RDS for SQL Server Pricing for pricing details and regional availability.
The MCP server provides AI agents with real-time access to AWS product data, availability information and pricing details, including on-demand, reserved, and savings plans. With this launch, you can leverage AI assistants, including Amazon Q Developer CLI, and Claude Desktop, to retrieve AWS product and pricing information, compare pricing options across regions, and make data-driven decisions about AWS service selections – all through natural language conversations.
You can download and integrate the open-source server with your preferred MCP-compatible AI assistant. The server connects securely to the AWS Price List using standard AWS credentials with minimal configuration required. To get started, visit the AWS Labs GitHub repository.
Today, AWS announces the release of the Model Context Protocol (MCP) server for AWS Price List, now available in the AWS Labs GitHub repository. The MCP server provides AI agents with real-time access to AWS product data, availability information and pricing details, including on-demand, reserved, and savings plans. With this launch, you can leverage AI assistants, including Amazon Q Developer CLI, and Claude Desktop, to retrieve AWS product and pricing information, compare pricing options across regions, and make data-driven decisions about AWS service selections – all through natural language conversations. You can download and integrate the open-source server with your preferred MCP-compatible AI assistant. The server connects securely to the AWS Price List using standard AWS credentials with minimal configuration required. To get started, visit the AWS Labs GitHub repository.
Amazon DocumentDB (with MongoDB compatibility) Global Clusters now supports adding up to 10 secondary Regions, further enhancing scalability and availability for globally distributed applications.
Amazon DocumentDB Global Clusters spans multiple AWS Regions, providing disaster recovery from Region-wide outages and enabling fast local reads for globally distributed applications. This launch increases the number of secondary Regions that can be added to a global cluster from the previously supported limit of up to 5 secondary Regions to up to 10 secondary Regions, providing a larger global footprint for operating your applications. See documentation to learn more about global clusters.
Amazon DocumentDB (with MongoDB compatibility) is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page, pricing page and documentation.
Amazon DocumentDB (with MongoDB compatibility) Global Clusters now supports adding up to 10 secondary Regions, further enhancing scalability and availability for globally distributed applications. Amazon DocumentDB Global Clusters spans multiple AWS Regions, providing disaster recovery from Region-wide outages and enabling fast local reads for globally distributed applications. This launch increases the number of secondary Regions that can be added to a global cluster from the previously supported limit of up to 5 secondary Regions to up to 10 secondary Regions, providing a larger global footprint for operating your applications. See documentation to learn more about global clusters. Amazon DocumentDB (with MongoDB compatibility) is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page, pricing page and documentation.
The AWS Price List Query API now supports four new filter types, giving you more precise ways to search product data. With the new filters, you can now search products by exactly matching attributes, using sub-string matches, or creating include/exclude lists for more targeted results.
These new filters simplify product discovery, enabling more efficient data retrieval. You can now easily find specific groups of products—such as all m5 EC2 instance types—with a single, streamlined filter instead of creating multiple complex queries.
The new filter capabilities are available in all regions where the AWS Price List API is supported.
The AWS Price List Query API now supports four new filter types, giving you more precise ways to search product data. With the new filters, you can now search products by exactly matching attributes, using sub-string matches, or creating include/exclude lists for more targeted results. These new filters simplify product discovery, enabling more efficient data retrieval. You can now easily find specific groups of products—such as all m5 EC2 instance types—with a single, streamlined filter instead of creating multiple complex queries. The new filter capabilities are available in all regions where the AWS Price List API is supported. Visit the userguide to learn more.
