Amazon SageMaker now offers a visual builder experience for creating and managing workflows. This feature is part of the next generation of Amazon SageMaker – the center for all your data, analytics, and AI, and is available within SageMaker Unified Studio, a single data and AI development environment. Visual workflows in Amazon SageMaker provides a drag-and-drop interface for building workflows and simplifies authoring and scheduling processes for data engineers and data scientists.
With visual workflows, you now have a visual, low-code way to represent a series of tasks, such as a data processing job that loads information into a table followed by a notebook that analyzes the loaded data. You can quickly get started by authoring your workflow visually and then continue to customize with code, if desired. Amazon SageMaker uses Amazon Managed Workflows for Apache Airflow (MWAA) to run workflows. With this new feature, you can create and modify workflows, view and adjust workflow schedules, pause or resume schedules as needed, and monitor the status and logs of workflow runs. This visual approach simplifies workflow management and provides greater ease-of-use for your data processes.
This new feature is now available in all AWS regions where Amazon SageMaker is available. Access the supported region list for the most up-to-date availability information.
Amazon SageMaker now offers a visual builder experience for creating and managing workflows. This feature is part of the next generation of Amazon SageMaker – the center for all your data, analytics, and AI, and is available within SageMaker Unified Studio, a single data and AI development environment. Visual workflows in Amazon SageMaker provides a drag-and-drop interface for building workflows and simplifies authoring and scheduling processes for data engineers and data scientists. With visual workflows, you now have a visual, low-code way to represent a series of tasks, such as a data processing job that loads information into a table followed by a notebook that analyzes the loaded data. You can quickly get started by authoring your workflow visually and then continue to customize with code, if desired. Amazon SageMaker uses Amazon Managed Workflows for Apache Airflow (MWAA) to run workflows. With this new feature, you can create and modify workflows, view and adjust workflow schedules, pause or resume schedules as needed, and monitor the status and logs of workflow runs. This visual approach simplifies workflow management and provides greater ease-of-use for your data processes. This new feature is now available in all AWS regions where Amazon SageMaker is available. Access the supported region list for the most up-to-date availability information. To learn more, visit our Amazon SageMaker Unified Studio documentation, blog post and MWAA pricing page.
Amazon Redshift now supports automatic refresh of materialized views that are defined on external Apache Iceberg tables in the Amazon S3 data lake.
With this update, Amazon Redshift will automatically refresh a materialized view defined on Apache Iceberg tables, that reside in the Amazon S3 bucket of the Amazon data lake, when there is new data is added or deleted to the Apache Iceberg tables.
Amazon Redshift now supports automatic refresh of materialized views that are defined on external Apache Iceberg tables in the Amazon S3 data lake.
With this update, Amazon Redshift will automatically refresh a materialized view defined on Apache Iceberg tables, that reside in the Amazon S3 bucket of the Amazon data lake, when there is new data is added or deleted to the Apache Iceberg tables.
You can start using this new capability immediately to build more complex and flexible analytics pipelines in the Amazon S3 data lake. To learn more about automatic refresh of materialized views and to get started with using materialized views in Amazon Redshift, refer to the Autorefreshing a materialized view sub-section of the Refreshing a materialized view section of the Amazon Redshift Materialized Views documentation.
AWS is announcing the general availability of Amazon EC2 Storage Optimized I8g instances in Europe (Spain), Asia Pacific (Sydney), Canada (Central), and Asia Pacific (Mumbai) regions. I8g instances offer the best performance in Amazon EC2 for storage-intensive workloads. I8g instances are powered by AWS Graviton4 processors that deliver up to 60% better compute performance compared to previous generation I4g instances. I8g instances use the latest third generation AWS Nitro SSDs, local NVMe storage that deliver up to 65% better real-time storage performance per TB while offering up to 50% lower storage I/O latency and up to 60% lower storage I/O latency variability. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software enhancing the performance and security for your workloads.
Amazon EC2 I8g instances are designed for I/O intensive workloads that require rapid data access and real-time latency from storage. These instances excel at handling transactional, real-time, distributed databases, including MySQL, PostgreSQL, Hbase and NoSQL solutions like Aerospike, MongoDB, ClickHouse, and Apache Druid. They’re also optimized for real-time analytics platforms such as Apache Spark, data lakehouse and AI LLM pre-processing for training. I8g instances are available in 10 different sizes with up to 48xlarge including one metal size, 1.5 TiB of memory, and 45 TB local instance storage. They deliver up to 100 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS).
AWS is announcing the general availability of Amazon EC2 Storage Optimized I8g instances in Europe (Spain), Asia Pacific (Sydney), Canada (Central), and Asia Pacific (Mumbai) regions. I8g instances offer the best performance in Amazon EC2 for storage-intensive workloads. I8g instances are powered by AWS Graviton4 processors that deliver up to 60% better compute performance compared to previous generation I4g instances. I8g instances use the latest third generation AWS Nitro SSDs, local NVMe storage that deliver up to 65% better real-time storage performance per TB while offering up to 50% lower storage I/O latency and up to 60% lower storage I/O latency variability. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software enhancing the performance and security for your workloads. Amazon EC2 I8g instances are designed for I/O intensive workloads that require rapid data access and real-time latency from storage. These instances excel at handling transactional, real-time, distributed databases, including MySQL, PostgreSQL, Hbase and NoSQL solutions like Aerospike, MongoDB, ClickHouse, and Apache Druid. They’re also optimized for real-time analytics platforms such as Apache Spark, data lakehouse and AI LLM pre-processing for training. I8g instances are available in 10 different sizes with up to 48xlarge including one metal size, 1.5 TiB of memory, and 45 TB local instance storage. They deliver up to 100 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS). To learn more, visit EC2 I8g instances.
AWS Deadline Cloud now supports usage-based licensing (UBL) for Chaos V-Ray so you can seamlessly leverage the cloud to render and access flexible V-Ray licensing. Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects for films, television, broadcasting, web content, and design.
With AWS Deadline Cloud, you can submit submit and run standalone V-Ray job bundles as well as submit V-Ray jobs from within Autodesk Maya without having to manage your own render farm infrastructure. You can now scale V-Ray rendering workloads effortlessly, eliminating bottlenecks caused by local resource limitations. UBL integration offers a pay-as-you-go licensing model, ideal for studios managing dynamic workloads. You can build pipelines for 3D graphics and visual effects without having to set up, configure, or manage the worker infrastructure yourself.
Creative teams can get started with V-Ray usage-based licensing today in all AWS Regions where Deadline Cloud is available.
AWS Deadline Cloud now supports usage-based licensing (UBL) for Chaos V-Ray so you can seamlessly leverage the cloud to render and access flexible V-Ray licensing. Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects for films, television, broadcasting, web content, and design. With AWS Deadline Cloud, you can submit submit and run standalone V-Ray job bundles as well as submit V-Ray jobs from within Autodesk Maya without having to manage your own render farm infrastructure. You can now scale V-Ray rendering workloads effortlessly, eliminating bottlenecks caused by local resource limitations. UBL integration offers a pay-as-you-go licensing model, ideal for studios managing dynamic workloads. You can build pipelines for 3D graphics and visual effects without having to set up, configure, or manage the worker infrastructure yourself. Creative teams can get started with V-Ray usage-based licensing today in all AWS Regions where Deadline Cloud is available. For more information, please visit the Deadline Cloud product page, and see the Deadline Cloud pricing page for UBL price details.
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.
