Amazon RDS Blue/Green deployments now support safer, simpler, and faster updates for your Aurora Global Databases. With just a few clicks, you can create a staging (green) environment that mirrors your production (blue) Aurora Global Database, including primary and all secondary regions. When you’re ready to make your staging environment the new production environment, perform a blue/green switchover. This operation transitions your primary and all secondary regions to the green environment, which now serves as the active production environment. Your application begins accessing it immediately without any configuration changes, minimizing operational overhead.

With Global Database, a single Aurora cluster can span multiple AWS Regions, providing disaster recovery for your applications in case of single Region impairment and enabling fast local reads for globally distributed applications. With this launch, you can perform critical database operations including major and minor version upgrades, OS updates, parameter modifications, instance type validations, and schema changes with minimal downtime. During blue/green switchover, Aurora automatically renames clusters, instances, and endpoints to match the original production environment, enabling applications to continue operating without any modifications. You can leverage this capability using the AWS Management console, SDK, or CLI.

This capability is available in Amazon Aurora MySQL-Compatible Edition and Amazon Aurora PostgreSQL-Compatible Edition versions that support the Aurora Global Database configuration and in all commercial AWS Regions and AWS GovCloud (US) Regions.

Start planning your next Global Database upgrade using RDS Blue/Green deployments by following the steps in the blog. For more details, refer to our documentation.

​Amazon RDS Blue/Green deployments now support safer, simpler, and faster updates for your Aurora Global Databases. With just a few clicks, you can create a staging (green) environment that mirrors your production (blue) Aurora Global Database, including primary and all secondary regions. When you’re ready to make your staging environment the new production environment, perform a blue/green switchover. This operation transitions your primary and all secondary regions to the green environment, which now serves as the active production environment. Your application begins accessing it immediately without any configuration changes, minimizing operational overhead. With Global Database, a single Aurora cluster can span multiple AWS Regions, providing disaster recovery for your applications in case of single Region impairment and enabling fast local reads for globally distributed applications. With this launch, you can perform critical database operations including major and minor version upgrades, OS updates, parameter modifications, instance type validations, and schema changes with minimal downtime. During blue/green switchover, Aurora automatically renames clusters, instances, and endpoints to match the original production environment, enabling applications to continue operating without any modifications. You can leverage this capability using the AWS Management console, SDK, or CLI. This capability is available in Amazon Aurora MySQL-Compatible Edition and Amazon Aurora PostgreSQL-Compatible Edition versions that support the Aurora Global Database configuration and in all commercial AWS Regions and AWS GovCloud (US) Regions. Start planning your next Global Database upgrade using RDS Blue/Green deployments by following the steps in the blog. For more details, refer to our documentation.  

Amazon SageMaker Catalog now supports read and write access to Amazon S3 general purpose buckets. This capability helps data scientists and analysts search for unstructured data, process it alongside structured datasets, and share transformed datasets with other teams. Data publishers gain additional controls to support analytics and generative AI workflows within SageMaker Unified Studio while maintaining security and governance controls over shared data. 

When approving subscription requests or directly sharing S3 data within the SageMaker Catalog, data producers can choose to grant read-only or read and write access. If granted read and write access, data consumers can process datasets in SageMaker and store the results back to the S3 bucket or folder. The data can then be published and automatically discoverable by other teams. This capability is now available in all AWS Regions where Amazon SageMaker Unified Studio is supported. To get started, you can log into SageMaker Unified Studio, or you can use the Amazon DataZone API, SDK, or AWS CLI. To learn more, see the SageMaker Unified Studio guide.

​Amazon SageMaker Catalog now supports read and write access to Amazon S3 general purpose buckets. This capability helps data scientists and analysts search for unstructured data, process it alongside structured datasets, and share transformed datasets with other teams. Data publishers gain additional controls to support analytics and generative AI workflows within SageMaker Unified Studio while maintaining security and governance controls over shared data. 
When approving subscription requests or directly sharing S3 data within the SageMaker Catalog, data producers can choose to grant read-only or read and write access. If granted read and write access, data consumers can process datasets in SageMaker and store the results back to the S3 bucket or folder. The data can then be published and automatically discoverable by other teams. This capability is now available in all AWS Regions where Amazon SageMaker Unified Studio is supported. To get started, you can log into SageMaker Unified Studio, or you can use the Amazon DataZone API, SDK, or AWS CLI. To learn more, see the SageMaker Unified Studio guide.  

Amazon Simple Queue Service (Amazon SQS) now allows customers to make API requests over Internet Protocol version 6 (IPv6) in the AWS GovCloud (US) Regions. The new endpoints have also been validated under the Federal Information Processing Standard (FIPS) 140-3 program.

Amazon SQS is a fully managed message queuing service that enables decoupling and scaling of distributed systems, microservices, and serverless applications. With this update, customers have the option of using either IPv6 or IPv4 when sending requests over dual-stack public or VPC endpoints.

Amazon SQS now supports IPv6 in all Regions where the service is available, including AWS Commercial, AWS GovCloud (US) and China Regions. For more information on using IPv6 with Amazon SQS, please refer to our developer guide. 

​Amazon Simple Queue Service (Amazon SQS) now allows customers to make API requests over Internet Protocol version 6 (IPv6) in the AWS GovCloud (US) Regions. The new endpoints have also been validated under the Federal Information Processing Standard (FIPS) 140-3 program. Amazon SQS is a fully managed message queuing service that enables decoupling and scaling of distributed systems, microservices, and serverless applications. With this update, customers have the option of using either IPv6 or IPv4 when sending requests over dual-stack public or VPC endpoints. Amazon SQS now supports IPv6 in all Regions where the service is available, including AWS Commercial, AWS GovCloud (US) and China Regions. For more information on using IPv6 with Amazon SQS, please refer to our developer guide.   

Amazon DocumentDB (with MongoDB compatibility) announces version 8.0, which now offers added support for drivers supporting the MongoDB API versions 6.0, 7.0, and 8.0. Amazon DocumentDB 8.0 also improves query latency by up to 7x and compression ratio by up to 5x, enabling you to build high-performance applications at a lower cost. 

The following are features and capabilities introduced in Amazon DocumentDB 8.0:

• Compatibility with MongoDB 8.0: Amazon DocumentDB 8.0 provides compatibility with MongoDB 8.0 by adding support for MongoDB 8.0 API drivers. Amazon DocumentDB 8.0 also supports applications that are built using MongoDB API versions 6.0 and 7.0.
• Planner Version3: New query planner in Amazon DocumentDB 8.0 extends performance improvements to aggregation stage operators, along with supporting aggregation pipeline optimizations and distinct commands.
• New aggregation stages and operators: Amazon DocumentDB 8.0 offers 6 new aggregation stages: $replaceWith, $vectorSearch, $merge, $set, $unset, $bucket, and 3 new aggregation operators $pow, $rand, $dateTrunc.
• Compression: Support for dictionary-based compression through the Zstandard compression algorithm improves compression ratio by up to 5x, thus improving storage efficiency and reducing I/O costs.
• New capabilities: Amazon DocumentDB 8.0 supports collation and views.
• A new version of text index: Text index v2 in Amazon DocumentDB 8.0 introduces additional tokens, enhancing text search capabilities.
• Vector search improvements: Through parallel vector index build, Amazon DocumentDB 8.0 reduces index build time by up to 30x.

You can use AWS Database Migration Service (DMS) to upgrade your Amazon DocumentDB 5.0 instance-based clusters to Amazon DocumentDB 8.0 clusters. Please see upgrading your DocumentDB cluster to learn more. Amazon DocumentDB 8.0 is available in all AWS Regions where Amazon DocumentDB is available. To learn more about Amazon DocumentDB 8.0 visit the documentation.

​Amazon DocumentDB (with MongoDB compatibility) announces version 8.0, which now offers added support for drivers supporting the MongoDB API versions 6.0, 7.0, and 8.0. Amazon DocumentDB 8.0 also improves query latency by up to 7x and compression ratio by up to 5x, enabling you to build high-performance applications at a lower cost. 
The following are features and capabilities introduced in Amazon DocumentDB 8.0:

Compatibility with MongoDB 8.0: Amazon DocumentDB 8.0 provides compatibility with MongoDB 8.0 by adding support for MongoDB 8.0 API drivers. Amazon DocumentDB 8.0 also supports applications that are built using MongoDB API versions 6.0 and 7.0.
Planner Version3: New query planner in Amazon DocumentDB 8.0 extends performance improvements to aggregation stage operators, along with supporting aggregation pipeline optimizations and distinct commands.
New aggregation stages and operators: Amazon DocumentDB 8.0 offers 6 new aggregation stages: $replaceWith, $vectorSearch, $merge, $set, $unset, $bucket, and 3 new aggregation operators $pow, $rand, $dateTrunc.
Compression: Support for dictionary-based compression through the Zstandard compression algorithm improves compression ratio by up to 5x, thus improving storage efficiency and reducing I/O costs.
New capabilities: Amazon DocumentDB 8.0 supports collation and views.
A new version of text index: Text index v2 in Amazon DocumentDB 8.0 introduces additional tokens, enhancing text search capabilities.
Vector search improvements: Through parallel vector index build, Amazon DocumentDB 8.0 reduces index build time by up to 30x.

You can use AWS Database Migration Service (DMS) to upgrade your Amazon DocumentDB 5.0 instance-based clusters to Amazon DocumentDB 8.0 clusters. Please see upgrading your DocumentDB cluster to learn more. Amazon DocumentDB 8.0 is available in all AWS Regions where Amazon DocumentDB is available. To learn more about Amazon DocumentDB 8.0 visit the documentation.  

Amazon RDS for PostgreSQL now supports major version 18, starting with PostgreSQL version 18.1. PostgreSQL 18 introduces several important community updates that improve query performance and database management.

PostgreSQL 18.0 includes «skip scan» support for multicolumn B-tree indexes and improved WHERE clause handling for OR and IN conditions enhance query optimization. Parallel Generalized Inverted Index (GIN) builds and updated join operations boost overall database performance. The introduction of Universally Unique Identifiers Version 7 (UUIDv7) combines timestamp-based ordering with traditional UUID uniqueness, particularly beneficial for high-throughput distributed systems. PostgreSQL 18 also improves observability by providing buffer usage counts, index lookup statistics during query execution, and per-connection I/O utilization metrics. This release also includes support for the new pgcollection extension, and updates to existing extensions such as pgaudit 18.0, pgvector 0.8.1, pg_cron 1.6.7, pg_tle 1.5.2, mysql_fdw 2.9.3, and tds_fdw 2.0.5.

You can upgrade your database using several options including RDS Blue/Green deployments, upgrade in-place, restore from a snapshot. Learn more about upgrading your database instances in the Amazon RDS User Guide.

Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.

​Amazon RDS for PostgreSQL now supports major version 18, starting with PostgreSQL version 18.1. PostgreSQL 18 introduces several important community updates that improve query performance and database management. PostgreSQL 18.0 includes «skip scan» support for multicolumn B-tree indexes and improved WHERE clause handling for OR and IN conditions enhance query optimization. Parallel Generalized Inverted Index (GIN) builds and updated join operations boost overall database performance. The introduction of Universally Unique Identifiers Version 7 (UUIDv7) combines timestamp-based ordering with traditional UUID uniqueness, particularly beneficial for high-throughput distributed systems. PostgreSQL 18 also improves observability by providing buffer usage counts, index lookup statistics during query execution, and per-connection I/O utilization metrics. This release also includes support for the new pgcollection extension, and updates to existing extensions such as pgaudit 18.0, pgvector 0.8.1, pg_cron 1.6.7, pg_tle 1.5.2, mysql_fdw 2.9.3, and tds_fdw 2.0.5. You can upgrade your database using several options including RDS Blue/Green deployments, upgrade in-place, restore from a snapshot. Learn more about upgrading your database instances in the Amazon RDS User Guide. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.  

AWS Lambda announces Provisioned Mode for SQS event-source-mappings (ESMs) that subscribe to Amazon SQS, a feature that allows you to optimize the throughput of your SQS ESM by provisioning event polling resources that remain ready to handle sudden spikes in traffic. SQS ESM configured with Provisioned Mode scales 3x faster (up to 1000 concurrent executions per minute) and supports 16x higher concurrency (up to 20,000 concurrent executions) than default SQS ESM capability. This allows you to build highly responsive and scalable event-driven applications with stringent performance requirements.

Customers use SQS as an event source for Lambda functions to build mission-critical applications using Lambda’s fully-managed SQS ESM, which automatically scales polling resources in response to events. However, for applications that need to handle unpredictable bursts of traffic, lack of control over the throughput of ESM can lead to delays in event processing. Provisioned Mode for SQS ESM allows you to fine tune the throughput of the ESM by provisioning a minimum and maximum number of polling resources called event pollers that are ready to handle sudden spikes in traffic. With this feature, you can process events with lower latency, handle sudden traffic spikes more effectively, and maintain precise control over your event processing resources.

This feature is generally available in all AWS Commercial Regions. You can activate Provisioned Mode for SQS ESM by configuring a minimum and maximum number of event pollers in the ESM API, AWS Console, AWS CLI, AWS SDK, AWS CloudFormation, and AWS SAM. You pay for the usage of event pollers, along a billing unit called Event Poller Unit (EPU). To learn more, read Lambda ESM documentation and AWS Lambda pricing. 

​AWS Lambda announces Provisioned Mode for SQS event-source-mappings (ESMs) that subscribe to Amazon SQS, a feature that allows you to optimize the throughput of your SQS ESM by provisioning event polling resources that remain ready to handle sudden spikes in traffic. SQS ESM configured with Provisioned Mode scales 3x faster (up to 1000 concurrent executions per minute) and supports 16x higher concurrency (up to 20,000 concurrent executions) than default SQS ESM capability. This allows you to build highly responsive and scalable event-driven applications with stringent performance requirements. Customers use SQS as an event source for Lambda functions to build mission-critical applications using Lambda’s fully-managed SQS ESM, which automatically scales polling resources in response to events. However, for applications that need to handle unpredictable bursts of traffic, lack of control over the throughput of ESM can lead to delays in event processing. Provisioned Mode for SQS ESM allows you to fine tune the throughput of the ESM by provisioning a minimum and maximum number of polling resources called event pollers that are ready to handle sudden spikes in traffic. With this feature, you can process events with lower latency, handle sudden traffic spikes more effectively, and maintain precise control over your event processing resources. This feature is generally available in all AWS Commercial Regions. You can activate Provisioned Mode for SQS ESM by configuring a minimum and maximum number of event pollers in the ESM API, AWS Console, AWS CLI, AWS SDK, AWS CloudFormation, and AWS SAM. You pay for the usage of event pollers, along a billing unit called Event Poller Unit (EPU). To learn more, read Lambda ESM documentation and AWS Lambda pricing.   

AWS Marketplace now delivers purchase agreement events via Amazon EventBridge, transitioning from our Amazon Simple Notification Service (SNS) notifications for Software as a Service and Professional Services product types. This enhancement simplifies event-driven workflows for both sellers and buyers by enabling seamless integration of AWS Marketplace Agreements, reducing operational overhead, and improving event monitoring and automation.

Marketplace sellers (Independent Software Vendors and Channel Partners) and buyers will receive notifications for all events in the lifecycle of their Marketplace Agreements, including when they are created, terminated, amended, replaced, renewed, cancelled or expired. Additionally, ISVs receive license-specific events to manage customer entitlements. With EventBridge integration, you can route these events to various AWS services such as AWS Lambda, Amazon S3, Amazon CloudWatch, AWS Step Functions, and Amazon SNS, maintaining compatibility with existing SNS-based workflows while gaining advanced routing capabilities.

EventBridge notifications are generally available and can be created in AWS US East (N. Virginia) Region.

To learn more about AWS Marketplace event notifications, see the AWS Marketplace documentation. You can start using EventBridge notifications today by visiting the Amazon EventBridge console and enabling the ‘aws.agreement-marketplace’ event source.

​AWS Marketplace now delivers purchase agreement events via Amazon EventBridge, transitioning from our Amazon Simple Notification Service (SNS) notifications for Software as a Service and Professional Services product types. This enhancement simplifies event-driven workflows for both sellers and buyers by enabling seamless integration of AWS Marketplace Agreements, reducing operational overhead, and improving event monitoring and automation. Marketplace sellers (Independent Software Vendors and Channel Partners) and buyers will receive notifications for all events in the lifecycle of their Marketplace Agreements, including when they are created, terminated, amended, replaced, renewed, cancelled or expired. Additionally, ISVs receive license-specific events to manage customer entitlements. With EventBridge integration, you can route these events to various AWS services such as AWS Lambda, Amazon S3, Amazon CloudWatch, AWS Step Functions, and Amazon SNS, maintaining compatibility with existing SNS-based workflows while gaining advanced routing capabilities. EventBridge notifications are generally available and can be created in AWS US East (N. Virginia) Region. To learn more about AWS Marketplace event notifications, see the AWS Marketplace documentation. You can start using EventBridge notifications today by visiting the Amazon EventBridge console and enabling the ‘aws.agreement-marketplace’ event source.  

Amazon EventBridge introduces a new intuitive console based visual rule builder with a comprehensive event catalog for discovering and subscribing to events from custom applications, and over 200 AWS services. The new rule builder integrates the EventBridge Schema Registry with an updated event catalog and intuitive drag and drop canvas that simplifies building event-driven applications.

With enhanced rule builder, developers can browse and search through events with readily available sample payloads and schemas, eliminating the need to find and reference individual service documentation. The schema-aware visual builder guides developers through creating event filter patterns and rules, reducing syntax errors and development time.

The EventBridge enhanced rule builder is available today in all regions where the Schema Registry is launched. Developers can get started through the Amazon EventBridge console at no additional cost beyond standard EventBridge usage charges.

For more information, visit the EventBridge documentation.

​Amazon EventBridge introduces a new intuitive console based visual rule builder with a comprehensive event catalog for discovering and subscribing to events from custom applications, and over 200 AWS services. The new rule builder integrates the EventBridge Schema Registry with an updated event catalog and intuitive drag and drop canvas that simplifies building event-driven applications. With enhanced rule builder, developers can browse and search through events with readily available sample payloads and schemas, eliminating the need to find and reference individual service documentation. The schema-aware visual builder guides developers through creating event filter patterns and rules, reducing syntax errors and development time. The EventBridge enhanced rule builder is available today in all regions where the Schema Registry is launched. Developers can get started through the Amazon EventBridge console at no additional cost beyond standard EventBridge usage charges. For more information, visit the EventBridge documentation.  

Starting today, AWS Network Firewall is available in the AWS New Zealand (Auckland) Region, enabling customers to deploy essential network protections for all their Amazon Virtual Private Clouds (VPCs).

AWS Network Firewall is a managed firewall service that is easy to deploy. The service automatically scales with network traffic volume to provide high-availability protections without the need to set up and maintain the underlying infrastructure. It is integrated with AWS Firewall Manager to provide you with central visibility and control over your firewall policies across multiple AWS accounts.

To see which regions AWS Network Firewall is available in, visit the AWS Region Table. For more information, please see the AWS Network Firewall product page and the service documentation.

​Starting today, AWS Network Firewall is available in the AWS New Zealand (Auckland) Region, enabling customers to deploy essential network protections for all their Amazon Virtual Private Clouds (VPCs). AWS Network Firewall is a managed firewall service that is easy to deploy. The service automatically scales with network traffic volume to provide high-availability protections without the need to set up and maintain the underlying infrastructure. It is integrated with AWS Firewall Manager to provide you with central visibility and control over your firewall policies across multiple AWS accounts. To see which regions AWS Network Firewall is available in, visit the AWS Region Table. For more information, please see the AWS Network Firewall product page and the service documentation.  

• Categoría: Noticias de Microsoft

noviembre 14, 2025

La próxima fase de Aurora: IA abierta y colaborativa para el pronóstico del tiempo y el clima

Por: Juan Lavista Ferres, científico jefe de datos, Microsoft y Chris Bishop, miembro técnico y director de Microsoft Research AI for Science.

En todo el mundo, los peligros del clima extremo son una realidad diaria. En 2024, el clima extremo desplazó o interrumpió la vida de más de 800,000 personas en todo el mundo, un recordatorio de que los pronósticos precisos y oportunos no se tratan solo de datos; se trata de personas. Desde los agricultores que deciden cuándo plantar hasta las comunidades costeras que se preparan para los huracanes, un mejor pronóstico puede salvar vidas, proteger la infraestructura y apoyar las economías. 

Es por eso que Microsoft sigue comprometido a profundidad con Aurora, un modelo de IA diseñado para ayudar a los científicos a comprender los sistemas de la Tierra de nuevas maneras. Entrenado con grandes cantidades de datos, está ajustado para modelar los sistemas de la Tierra. Aurora ya se ha mostrado prometedora en múltiples escenarios, incluida la predicción del clima, el seguimiento de huracanes y la calidad del aire, y el modelado de olas oceánicas y flujos de energía. 

Hoy, reafirmamos nuestro compromiso: mantener Aurora abierta, colaborativa e impactante para que los investigadores puedan innovar más rápido y ofrecer soluciones que ayuden a las comunidades a prepararse, adaptarse y prosperar. El progreso científico depende de la apertura y de una comunidad global fuerte, por lo que Aurora progresará como una plataforma de código abierto, para permitir a los científicos de todo el mundo contribuir y aplicarla a los nuevos desafíos climáticos y meteorológicos.

La siguiente fase: Impulsar la innovación a través de asociaciones de investigación

Colaboramos con el profesor Rich Turner, líder en investigación de aprendizaje automático, y su laboratorio en la Universidad de Cambridge a través de una subvención de Microsoft AI for Good y científicos de investigación para continuar el desarrollo de Aurora. Desarrollado en un inicio por Microsoft Research AI for Science, con la colaboración del profesor Turner, creemos que Aurora tiene el potencial de cambiar la forma en que los científicos de todo el mundo pueden usar la IA para la ciencia del tiempo y el clima. 

Sobre la base de nuestra iniciativa SPARROW, también invertimos en la investigación de estaciones meteorológicas de código abierto que pueden ampliar el acceso a datos ambientales de alta calidad. Estos sistemas asequibles y desplegables en la comunidad están diseñados para ayudar a llenar los vacíos críticos de observación y fortalecer la confiabilidad de las predicciones meteorológicas donde más importan. 

Poner Aurora a disposición de los científicos de todo el mundo

El código fuente de Aurora y los pesos de los modelos ya están abiertos, pero vamos más allá. Junto con Turner y Cambridge, nuestro equipo de AI for Good abrirá el código de las futuras versiones de Aurora y los nuevos modelos que se basan en él, incluidas las canalizaciones de entrenamiento. Al hacer que Aurora sea abierta y gratuita para desarrollar, permitimos que los investigadores y desarrolladores de todo el mundo colaboren, contribuyan e impulsen la innovación juntos.

Potenciar los servicios meteorológicos nacionales

Al igual que con cualquier tecnología, la medida del éxito de herramientas como Aurora es tener un impacto positivo en la vida de las personas. Empoderar a los servicios meteorológicos nacionales en todo el Sur Global, junto con el Norte Global, es una prioridad. Estamos enfocados en particular en la aplicación de Aurora para ayudar a los servicios meteorológicos a desarrollar y fortalecer sus propios sistemas de pronóstico que se adaptan a sus propios entornos locales. Esto les permitirá adaptarse, extenderse e innovar sobre Aurora, para mejorar la precisión, confiabilidad y alcance de sus pronósticos.

Habilitación de un ecosistema intersectorial

Aurora está entrenada en una de las colecciones más grandes de datos atmosféricos jamás reunidas para desarrollar un modelo de pronóstico de IA. Luego se ajusta para realizar una variedad de tareas específicas, como predecir la altura de las olas o la calidad del aire, a través de cantidades modestas de datos adicionales.

La aplicación de tal modelo podría desbloquear la innovación en todo tipo de otras industrias. Por ejemplo, las empresas de energía y los comerciantes de materias primas han expresado interés, en particular en ver cómo se puede adaptar Aurora para predecir mejor la generación de energía renovable, anticipar eventos climáticos extremos y ayudar a proteger las redes de energía.

Estamos entusiasmados de ver que nuestro trabajo en Aurora se gradúa de un proyecto de investigación a un esfuerzo en verdad colaborativo y de código abierto. Al abrir Aurora a la comunidad global, permitimos avances en la comprensión científica que esperamos transformen la ayuda humanitaria, optimicen los sistemas energéticos, promuevan la sostenibilidad e incluso remodelen los servicios financieros.

Etiquetas:

• IA
• Sostenibilidad

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