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Amazon Neptune Database now supports Graviton3 R7g and Graviton4 R8g instances

Amazon Neptune Database now supports Graviton3-based R7g and Graviton4-based R8g database instances for Amazon Neptune engine versions 1.4.5 or above, and priced -16% vs R6g.

Graviton3-based R7g are the first AWS database instances to feature the latest DDR5 memory, which provides 50% more memory bandwidth compared to DDR4, enabling high-speed access to data in memory. R7g database instances offer up to 30Gbps enhanced networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Graviton4-based R8g instances offer larger instance sizes, up to 48xlarge and features an 8:1 ratio of memory to vCPU, and the latest DDR5 memory.

R7g instances for Neptune are now available US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Europe (Ireland), Europe (London), Asia Pacific (Hong Kong), Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Mumbai), Asia Pacific (Hyderabad), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Malaysia), Canada (Central), Europe (Frankfurt), Europe (Stockholm), Europe (Spain), and South America (São Paulo). R8g instances for Neptune are now available in: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Asia Pacific (Tokyo), Asia Pacific (Mumbai), Asia Pacific (Sydney), Europe (Frankfurt), Europe (Stockholm), and Europe (Spain). You can launch R7g and R8g instances for Neptune using the AWS Management Console or using the AWS CLI. Upgrading a Neptune cluster to R7g or R8g instances requires a simple instance type modification for Neptune engine versions 1.4.5 or higher. For more information on pricing and regional availability, refer to the Amazon Neptune pricing page.
 

 

​Amazon Neptune Database now supports Graviton3-based R7g and Graviton4-based R8g database instances for Amazon Neptune engine versions 1.4.5 or above, and priced -16% vs R6g. Graviton3-based R7g are the first AWS database instances to feature the latest DDR5 memory, which provides 50% more memory bandwidth compared to DDR4, enabling high-speed access to data in memory. R7g database instances offer up to 30Gbps enhanced networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Graviton4-based R8g instances offer larger instance sizes, up to 48xlarge and features an 8:1 ratio of memory to vCPU, and the latest DDR5 memory. R7g instances for Neptune are now available US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Europe (Ireland), Europe (London), Asia Pacific (Hong Kong), Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Mumbai), Asia Pacific (Hyderabad), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Malaysia), Canada (Central), Europe (Frankfurt), Europe (Stockholm), Europe (Spain), and South America (São Paulo). R8g instances for Neptune are now available in: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Asia Pacific (Tokyo), Asia Pacific (Mumbai), Asia Pacific (Sydney), Europe (Frankfurt), Europe (Stockholm), and Europe (Spain). You can launch R7g and R8g instances for Neptune using the AWS Management Console or using the AWS CLI. Upgrading a Neptune cluster to R7g or R8g instances requires a simple instance type modification for Neptune engine versions 1.4.5 or higher. For more information on pricing and regional availability, refer to the Amazon Neptune pricing page.    

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Amazon Route 53 Resolver DNS Firewall is now available in additional regions

Starting today, you can use Amazon Route 53 Resolver DNS Firewall and DNS Firewall Advanced in the Asia Pacific (Thailand) and Mexico (Central) Regions, to govern and filter outbound DNS traffic for your Amazon Virtual Private Cloud (VPC).

Route 53 Resolver DNS Firewall is a managed service that enables you to block DNS queries made for domains identified as low-reputation or suspected to be malicious, and to allow queries for trusted domains. In addition, Route 53 Resolver DNS Firewall Advanced is a capability of DNS Firewall that allows you to detect and block DNS traffic associated with Domain Generation Algorithms (DGA) and DNS Tunneling threats. DNS Firewall can be enabled only for Route 53 Resolver, which is a recursive DNS server that is available by default in all Amazon Virtual Private Clouds (VPCs). The Route 53 Resolver responds to DNS queries from AWS resources within a VPC for public DNS records, VPC-specific domain names, and Route 53 private hosted zones.

See here for the list of AWS Regions where Route 53 Resolver DNS Firewall is available. Visit our product page and documentation to learn more about Amazon Route 53 Resolver DNS Firewall and its pricing.

 

​Starting today, you can use Amazon Route 53 Resolver DNS Firewall and DNS Firewall Advanced in the Asia Pacific (Thailand) and Mexico (Central) Regions, to govern and filter outbound DNS traffic for your Amazon Virtual Private Cloud (VPC). Route 53 Resolver DNS Firewall is a managed service that enables you to block DNS queries made for domains identified as low-reputation or suspected to be malicious, and to allow queries for trusted domains. In addition, Route 53 Resolver DNS Firewall Advanced is a capability of DNS Firewall that allows you to detect and block DNS traffic associated with Domain Generation Algorithms (DGA) and DNS Tunneling threats. DNS Firewall can be enabled only for Route 53 Resolver, which is a recursive DNS server that is available by default in all Amazon Virtual Private Clouds (VPCs). The Route 53 Resolver responds to DNS queries from AWS resources within a VPC for public DNS records, VPC-specific domain names, and Route 53 private hosted zones. See here for the list of AWS Regions where Route 53 Resolver DNS Firewall is available. Visit our product page and documentation to learn more about Amazon Route 53 Resolver DNS Firewall and its pricing.  

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Amazon Connect adds five new metrics and dashboard drill downs for outbound campaigns

Amazon Connect outbound campaigns now offers reporting on recipients and campaign executions along with additional metrics for tracking progress and troubleshooting issues. These capabilities are available in the Contact Lens dashboards and allow you to easily monitor campaign engagement by tracking total outreach against the total number of recipients targeted. You can drill down into your campaign and examine performance data for each campaign execution – for example, if you run a campaign every week for a month, you can drill down to view campaign performance for each week. You can also identify and resolve any delivery issues against each campaign – for example, out of the 20 delivery issues, you now know 12 had ineligible timezones, and 8 reached communication limit thresholds. The real-time campaigns dashboard shows the journey of your campaign, from how many recipients you targeted to how many you reached. All new metrics are also available through the GetMetricDataV2 API and Zero-ETL data lake for custom reporting or integrations with other data sources.

These enhanced outbound campaign analytics are available in all AWS regions where Amazon Connect outbound campaigns is available. For more information about outbound campaign analytics, consult the Amazon Connect Administrator Guide and Amazon Connect API Reference. To learn more about Amazon Connect Outbound Campaigns, please visit the outbound campaigns webpage.

 

​Amazon Connect outbound campaigns now offers reporting on recipients and campaign executions along with additional metrics for tracking progress and troubleshooting issues. These capabilities are available in the Contact Lens dashboards and allow you to easily monitor campaign engagement by tracking total outreach against the total number of recipients targeted. You can drill down into your campaign and examine performance data for each campaign execution – for example, if you run a campaign every week for a month, you can drill down to view campaign performance for each week. You can also identify and resolve any delivery issues against each campaign – for example, out of the 20 delivery issues, you now know 12 had ineligible timezones, and 8 reached communication limit thresholds. The real-time campaigns dashboard shows the journey of your campaign, from how many recipients you targeted to how many you reached. All new metrics are also available through the GetMetricDataV2 API and Zero-ETL data lake for custom reporting or integrations with other data sources. These enhanced outbound campaign analytics are available in all AWS regions where Amazon Connect outbound campaigns is available. For more information about outbound campaign analytics, consult the Amazon Connect Administrator Guide and Amazon Connect API Reference. To learn more about Amazon Connect Outbound Campaigns, please visit the outbound campaigns webpage.  

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Amazon Bedrock Model Distillation is now generally available

Model Distillation is the process of transferring knowledge from a more capable model (teacher) to a less capable one (student) with the goal to make the faster and cost-efficient student model as performant as the teacher for a specific use-case. With general availability, we now add support for the following new models: Amazon Nova Premier (teacher) and Nova Pro (student), Claude 3.5 Sonnet v2 (teacher), Llama 3.3 70B (teacher) and Llama 3.2 1B/3B (student). Amazon Bedrock Model Distillation now enables smaller models to accurately predict function calling for Agents use cases while helping to deliver substantially faster response times and lower operational costs. Distilled models in Amazon Bedrock are up to 500% faster and 75% less expensive than original models, with less than 2% accuracy loss for use cases like RAG. In addition to RAG use cases, Model Distillation also adds support for data augmentation for Agents use cases for function calling prediction.

Amazon Bedrock Model Distillation offers a single workflow that automates the process needed to generate teacher responses, adds data synthesis to improve teacher responses, and then trains the student model. Amazon Bedrock Model Distillation may choose to apply different data synthesis methods that are best suited for your use-case to create a distilled model that approximately matches the advanced model for the specific use-case. 

Learn more in our documentation, website, and blog.

 

​Model Distillation is the process of transferring knowledge from a more capable model (teacher) to a less capable one (student) with the goal to make the faster and cost-efficient student model as performant as the teacher for a specific use-case. With general availability, we now add support for the following new models: Amazon Nova Premier (teacher) and Nova Pro (student), Claude 3.5 Sonnet v2 (teacher), Llama 3.3 70B (teacher) and Llama 3.2 1B/3B (student). Amazon Bedrock Model Distillation now enables smaller models to accurately predict function calling for Agents use cases while helping to deliver substantially faster response times and lower operational costs. Distilled models in Amazon Bedrock are up to 500% faster and 75% less expensive than original models, with less than 2% accuracy loss for use cases like RAG. In addition to RAG use cases, Model Distillation also adds support for data augmentation for Agents use cases for function calling prediction. Amazon Bedrock Model Distillation offers a single workflow that automates the process needed to generate teacher responses, adds data synthesis to improve teacher responses, and then trains the student model. Amazon Bedrock Model Distillation may choose to apply different data synthesis methods that are best suited for your use-case to create a distilled model that approximately matches the advanced model for the specific use-case.  Learn more in our documentation, website, and blog.  

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AWS B2B Data Interchange now supports IPv6 on B2B Data Interchange Service APIs

AWS B2B Data Interchange now offers customers the option to use Internet Protocol version 6 (IPv6) while accessing the AWS B2B Data Interchange Service APIs.

More and more customers are adopting IPv6 to mitigate IPv4 address exhaustion in their private networks or to satisfy government mandates such as the US Office of Management and Budget (OMB) M-21-07 memorandum. With this launch, customers can standardize their applications and workflows for managing their AWS B2B Data Interchange resources on the new version of Internet Protocol by using the new dual-stack AWS B2B Data Interchange Service endpoints.

IPv6 support for AWS B2B Data Interchange Service APIs is available in all commercial regions where AWS B2B Data Interchange is available. To learn more, visit the AWS B2B Data Interchange user guide.

 

​AWS B2B Data Interchange now offers customers the option to use Internet Protocol version 6 (IPv6) while accessing the AWS B2B Data Interchange Service APIs. More and more customers are adopting IPv6 to mitigate IPv4 address exhaustion in their private networks or to satisfy government mandates such as the US Office of Management and Budget (OMB) M-21-07 memorandum. With this launch, customers can standardize their applications and workflows for managing their AWS B2B Data Interchange resources on the new version of Internet Protocol by using the new dual-stack AWS B2B Data Interchange Service endpoints. IPv6 support for AWS B2B Data Interchange Service APIs is available in all commercial regions where AWS B2B Data Interchange is available. To learn more, visit the AWS B2B Data Interchange user guide.  

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Amazon Connect Contact Lens launches new real-time adherence dashboard

Amazon Connect Contact Lens now include a pre-configured agent adherence widget which supports filtering and sorting on agent adherence metrics, making day-to-day adherence management more efficient for supervisors. With this launch, supervisors can apply filters on adherence status, duration, and percentage; sort by duration or percentage; and apply conditional formatting within the agent adherence widget on the queue and agent performance dashboard. For example, a supervisor can highlight agents who have been falling behind schedule for more than 5 minutes, quickly identify breaches, and notify the agents accordingly. With this widget, supervisors can simplify the process of monitoring adherence, improving productivity, and enabling faster response times to adherence issues.

This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about this feature, see the Queue and agent performance dashboard in Amazon Connect.

 

​Amazon Connect Contact Lens now include a pre-configured agent adherence widget which supports filtering and sorting on agent adherence metrics, making day-to-day adherence management more efficient for supervisors. With this launch, supervisors can apply filters on adherence status, duration, and percentage; sort by duration or percentage; and apply conditional formatting within the agent adherence widget on the queue and agent performance dashboard. For example, a supervisor can highlight agents who have been falling behind schedule for more than 5 minutes, quickly identify breaches, and notify the agents accordingly. With this widget, supervisors can simplify the process of monitoring adherence, improving productivity, and enabling faster response times to adherence issues. This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about this feature, see the Queue and agent performance dashboard in Amazon Connect.  

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AWS Announces Managed Support for Energy Data Insights

Today, AWS announced managed support for Energy Data Insights (EDI) on AWS – delivered through AWS Managed Service (AMS), which enables energy customers to easily deploy, manage, and operate their subsurface data management platform on AWS, in compliance with the (OSDU®) standard. Now, you can automatically deploy EDI on AWS and accelerate your data ingestion from weeks to hours, and intelligently process and organize your subsurface data with minimal manual effort. AWS extends your team with operational capabilities, allowing you to focus on innovation and accelerating time to value with your subsurface data.

With AWS-provided managed support, EDI on AWS removes the undifferentiated heavy-lifting and the complexities of deploying, operating, and maintaining an OSDU Data Platform on AWS, optimizing your EDI operations and security while ensuring round-the-clock availability and protection of the service. AWS handles critical operations on your behalf such as incident management, and backup and restore, significantly improving the resilience of your OSDU Data Platform on AWS. You also receive timely support for application upgrades and patches, allowing you to stay current with the latest features and improvements.

EDI on AWS is available with pay-as-you-go pricing in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Europe (Ireland), Europe (Paris), and South America (São Paulo).

To learn more about EDI, visit the Product Detail page.

 

​Today, AWS announced managed support for Energy Data Insights (EDI) on AWS – delivered through AWS Managed Service (AMS), which enables energy customers to easily deploy, manage, and operate their subsurface data management platform on AWS, in compliance with the (OSDU®) standard. Now, you can automatically deploy EDI on AWS and accelerate your data ingestion from weeks to hours, and intelligently process and organize your subsurface data with minimal manual effort. AWS extends your team with operational capabilities, allowing you to focus on innovation and accelerating time to value with your subsurface data.
With AWS-provided managed support, EDI on AWS removes the undifferentiated heavy-lifting and the complexities of deploying, operating, and maintaining an OSDU Data Platform on AWS, optimizing your EDI operations and security while ensuring round-the-clock availability and protection of the service. AWS handles critical operations on your behalf such as incident management, and backup and restore, significantly improving the resilience of your OSDU Data Platform on AWS. You also receive timely support for application upgrades and patches, allowing you to stay current with the latest features and improvements.
EDI on AWS is available with pay-as-you-go pricing in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Europe (Ireland), Europe (Paris), and South America (São Paulo).
To learn more about EDI, visit the Product Detail page.  

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Amazon Q Developer in chat applications now supports AWS Systems Manager node access approvals

Amazon Q Developer in chat applications now supports AWS Systems Manager just-in-time node access approvals from Microsoft Teams and Slack. AWS customers can now monitor node access requests and approvals from chat channels to enhance security posture and meet compliance requirements.

The Just-in-time node access provides customers policy-based time-bound access to nodes and helps them comply with zero-standing privileges operations model. This launch provides a seamless integration for managing Just-in-time access request approvals in chat applications.

When configuring Just-in-time approval policies, customers can designate Amazon SNS topics associated with Amazon Q Developer in chat applications configurations for managing node access approval requests. As operators make new node access requests, approvers are notified about the requests in the chat channels. They can then approve or reject access requests directly from the chat channel.

Systems Manager node access approval management in chat applications is available at no additional cost in AWS Regions where Amazon Q Developer and System Manager Just-in-time node access are offered. Visit the user guide and Systems Manager pricing to get started.

 

​Amazon Q Developer in chat applications now supports AWS Systems Manager just-in-time node access approvals from Microsoft Teams and Slack. AWS customers can now monitor node access requests and approvals from chat channels to enhance security posture and meet compliance requirements. The Just-in-time node access provides customers policy-based time-bound access to nodes and helps them comply with zero-standing privileges operations model. This launch provides a seamless integration for managing Just-in-time access request approvals in chat applications. When configuring Just-in-time approval policies, customers can designate Amazon SNS topics associated with Amazon Q Developer in chat applications configurations for managing node access approval requests. As operators make new node access requests, approvers are notified about the requests in the chat channels. They can then approve or reject access requests directly from the chat channel. Systems Manager node access approval management in chat applications is available at no additional cost in AWS Regions where Amazon Q Developer and System Manager Just-in-time node access are offered. Visit the user guide and Systems Manager pricing to get started.  

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Transformación en energía y servicios públicos con la nube y la IA de Microsoft

mayo 1, 2025

Transformación en energía y servicios públicos con la nube y la IA de Microsoft

Hombres con cascos para construcción y chalecos observan una laptop

Por: Bilal Khursheed, líder mundial de energía y servicios públicos, industria de energía y recursos, Microsoft.

Impulsada por el crecimiento demográfico y económico, se espera que la demanda mundial de energía siga su aumento en los próximos años. Con una mayor conciencia sobre los combustibles fósiles y el impacto climático, los inversores dedican recursos financieros a métodos más sostenibles de generación y consumo de energía. Para los proveedores de energía y servicios públicos, eso significa un creciente interés en las energías renovables, que experimentaron un aumento del 30% el año pasado, en comparación con solo el 13% en el mismo período del año anterior1.  

Más información sobre Microsoft para energía y recursos

La proliferación de recursos de energía distribuida (DER, por sus siglas en inglés) —unidades de generación y almacenamiento de energía a pequeña escala que operan de manera local y están conectadas a redes más grandes a nivel de distribución— también ha llevado a los proveedores de energía a replantearse su forma de operar. Los DER podrían reducir de manera drástica la necesidad de generación de energía centralizada, pero también podrían llevar los entornos de tecnología operativa (OT, por sus siglas en inglés) tradicionales a sus límites y crear una mayor necesidad de seguridad.

Una red moderna, flexible y segura con tecnología de la información (TI, por sus siglas en inglés) unificada y OT será cada vez más importante para los operadores de la red a medida que los consumidores agreguen paneles solares, vehículos eléctricos o almacenamiento en baterías y busquen conectarse a la red. De hecho, una encuesta reciente realizada por Guidehouse muestra que el 61% de los ejecutivos de las empresas de servicios públicos creen que las inversiones en infraestructura de servicios públicos deberían priorizar una mayor flexibilidad para mejorar la resiliencia del sistema energético2. La IA tiene el potencial de aumentar la resiliencia al ayudar a los proveedores a pronosticar y gestionar la demanda de carga, mantener el equilibrio de energía, mejorar la seguridad, respaldar el análisis predictivo y el mantenimiento, y optimizar la gestión y el despacho de la fuerza laboral, entre muchos otros casos de uso. 

Las empresas de energía y servicios públicos no son las únicas que reconocen los beneficios de la IA. Un estudio reciente sobre la adopción de la IA muestra que, en los próximos tres años, el 92% de las empresas aumentarán sus inversiones en IA, en especial en IA generativa; sin embargo, solo el 1% considera que su implementación de IA está «madura»,3 lo que indica que todavía hay una gran oportunidad para impulsar la transformación continua de la IA para mejorar los resultados comerciales. Y lo que es más importante, los empleados están preparados para este cambio. De hecho, tres veces más empleados utilizan la IA generativa para el 30% o más de su trabajo de lo que sus líderes imaginan.4 Es una señal de que, para muchas empresas, la transformación de la IA ya está en marcha y los equipos están ansiosos por desbloquear nuevos niveles de potencial creativo y productividad.  

Un enfoque de nube adaptable ayuda a optimizar las operaciones y proporcionar un servicio de energía crítica

A través de ofertas integrales de nube, datos e inteligencia artificial, Microsoft y su ecosistema global de socios apoyan a los proveedores de energía y servicios públicos a medida que se transforman de manera digital e impulsan el crecimiento empresarial sostenible al tiempo que satisfacen la demanda de los clientes. El  enfoque de nube adaptativa integra a la perfección TI y OT, para reunir los sistemas de control locales y la inteligencia perimetral con análisis a escala de la nube. Esto sienta las bases para desbloquear el poder de sus datos, lo que les permite utilizar la IA para satisfacer la creciente demanda de energía y resolver sus desafíos más complejos.  

Tomemos Uniper, por ejemplo. Como la empresa de generación de energía más grande del mundo, Uniper necesitaba una solución que ayudara a estandarizar TI y OT para poder administrar todas las aplicaciones de manera uniforme. Una estrategia de nube adaptativa ayudó a estandarizar los entornos de TI y OT, lanzar nuevos servicios más rápido y optimizar el rendimiento.  

Emirates Global Aluminium (EGA) tiene otra historia de éxito en la nube adaptativa. El entorno local de EGA no podía ofrecer el nivel de flexibilidad necesario para gestionar operaciones de uso intensivo de datos con una infraestructura informática escalable. Un enfoque híbrido les permitió trasladar parte de su base de servidores a la nube pública de Microsoft Azure y otra parte ejecutarla de forma híbrida en el perímetro con Azure Local. Esto ayudó a optimizar la latencia, respaldar soluciones avanzadas de IA y automatización, y ofrecer ahorros comerciales sostenidos mediante la aplicación de inteligencia en el borde.  

Al adoptar la nube adaptativa, los proveedores de energía y servicios públicos pueden preparar sus operaciones para el futuro y construir los sistemas energéticos resilientes del mañana, sin comprometer el cumplimiento, la seguridad o la continuidad operativa.

Compartir historias de éxito y perspectivas en DISTRIBUTECH

En una era en la que el imperativo de una energía limpia, confiable y accesible nunca ha sido mayor, Microsoft confía en el conocimiento y el potencial innovador de sus socios y clientes para ayudar a encabezar el progreso. Las historias de éxito mencionadas antes son posibles gracias a los esfuerzos colectivos de un ecosistema energético completo de socios y clientes. La compañía compartió los últimos conocimientos impulsados por IA en el evento anual de transmisión y distribución de energía DISTRIBUTECH International 2025. El evento de este año, se celebró en Dallas (Texas) del 24 al 27 de marzo de 2025, con interesantes sesiones de conferencias, exposiciones y demostraciones sobre temas de actualidad como el almacenamiento de energía, la electrificación del transporte, la gestión de recursos energéticos distribuidos y, por supuesto, lo último en IA.  

Microsoft se unió a sus socios y clientes de energía en el escenario y en el stand de Microsoft para destacar su trabajo para acelerar la transición energética y abordar algunos de los mayores desafíos en el sector de la energía y los servicios públicos. LA empresa habló de algunos de estos desafíos en sus sesiones de liderazgo intelectual a lo largo de la semana, y destacó las oportunidades de utilizar las capacidades de la nube y la IA para abordarlos. Estas conversaciones no podrían ser más oportunas, ya que cuestiones como la ciberseguridad y la recuperación de amenazas afectan a los proveedores de energía y servicios públicos de todo el mundo todos los días. Con ese fin, los líderes de Energía y Recursos de Microsoft participaron en sesiones magistrales sobre temas como la ciberseguridad en el sector de energía y servicios públicos. Se sumergieron en el cambiante panorama de amenazas, la intersección de la regulación y la innovación, y las medidas clave que las empresas de servicios públicos pueden tomar para salvaguardar la infraestructura crítica. Microsoft también participará en una sesión magistral sobre la transformación de la energía y los servicios públicos con IA, donde la conversación girará en torno a las formas en que las soluciones impulsadas por IA revolucionan las operaciones de los servicios públicos.  

Destacar el ecosistema de socios de Microsoft

Microsoft se unió a varios socios de energía y tecnología en DISTRIBUTECH para promover el debate sobre la colaboración y la asociación globales como aspectos críticos de la transición energética. Actuó como orador invitado para la sesión del Knowledge Hub de Schneider Electric sobre tecnologías de red, para profundizar en las formas en que la IA y la transformación digital revolucionan las operaciones y la gestión de la red. La ocasión marcó otro hito en la profunda asociación de Microsoft con Schneider Electric, ya que colaboramos con la compañía en el lanzamiento de su nueva solución de red digital. Impulsada por Azure e IA, la nueva solución está diseñada para equipar a las empresas de servicios públicos con las herramientas digitales para enfrentar los desafíos energéticos modernos y respaldar una infraestructura energética más resistente.

Microsoft también trabaja con su socio Itron para empoderar a las empresas de servicios públicos con datos y análisis inteligentes. Itron está integrando la tecnología Microsoft Copilot en su Intelligent Edge Operating System (IEOS), una plataforma de datos global que se ejecuta en Azure, para ayudar a las empresas de servicios públicos a utilizar consultas en lenguaje natural para acceder más fácil a datos e información esenciales para acelerar la toma de decisiones, respaldar la innovación y agilizar las tareas repetitivas. Al utilizar las soluciones de IA de Microsoft, Itron ayuda a sus clientes a transformar las interacciones de datos complejas en procesos simples e intuitivos, lo que aumenta significativamente la eficiencia operativa.

Además, Microsoft colabora con los equipos de Cibernética Industrial y Confianza Digital de Siemens Energy dentro de Digital Solutions para mejorar la ciberseguridad en el sector energético. Al integrar las capacidades líderes de ciberseguridad de Microsoft con las soluciones avanzadas de Siemens Energy en el negocio de turbinas de gas, fortalecemos la resiliencia frente a las amenazas en evolución. Esta asociación subraya nuestro compromiso compartido de proteger la infraestructura crítica e impulsar la confianza digital en toda la industria.

Microsoft también anunció de manera reciente una colaboración con EPRI (Electric Power Research Institute) a través del Open Power AI Consortium para avanzar en la innovación de IA en el sector eléctrico. Esta asociación se centra en el desarrollo de casos de uso de IA generativa y IA generativa específicos del sector, la creación de marcos de implementación responsables y el establecimiento de un espacio aislado de IA en Azure para pruebas y refinamiento. Al fomentar la colaboración entre las empresas de servicios públicos y las partes interesadas clave, nuestro objetivo es impulsar la mejora continua, el intercambio de conocimientos y el impacto en el mundo real en toda la infraestructura crítica. 

Microsoft será coanfitrión de una mesa redonda de desayuno con Accenture junto con nuestros otros socios del ecosistema energético AVEVA, IFS, Itron y Schneider Electric para discutir las claves para desbloquear el retorno de la inversión (ROI, por sus siglas en inglés) y superar las barreras para escalar la IA y las tecnologías digitales. Junto con los clientes de las empresas de servicios públicos, discutirán los desafíos de los datos, los problemas regulatorios y las barreras organizativas que enfrentan las empresas de servicios públicos en sus viajes de transformación de datos.

Microsoft espera ver a muchos de ustedes en DISTRIBUTECH 2025 mientras comparten historias de éxito en energía y aprenden cómo otros impulsan un cambio positivo para un nuevo futuro energético.

Exploren más soluciones y recursos energéticos

Fuentes:

1 Perspectivas del sector de la energía y los servicios públicos para 2025, Deloitte, diciembre de 2024.

2 Quincenal® de Servicios Públicos, Número especial, Estado y Futuro de la Energía, Guidehouse, junio de 2024.

3,4 Superagencia en el lugar de trabajo: Empoderar a las personas para desbloquear todo el potencial de la IA, McKinsey & Company, enero de 2025. 

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Amazon Nova Premier, our most capable model for complex tasks and teacher for model distillation

We’re excited to announce the general availability of Amazon Nova Premier, our most capable multimodal foundation model for complex tasks such as processing long documents, videos, large codebases, and executing multistep agentic workflows. It is also our most capable teacher model and can be used with Amazon Bedrock Model Distillation to create custom distilled models for specific needs.

Nova Premier extends the capabilities available from Amazon Nova understanding models with several key improvements, including:

  • Superior intelligence: The model scores 87.4% in the Massive Multitask Language Understanding (MMLU) benchmark for undergraduate-level knowledge, 82.0% on Math500 for mathematic problems, and 84.6% on the CharXiv benchmark for chart understanding.
  • Improved agentic capabilities: Nova Premier can perform end-to-end actions on behalf of the user, enabling more complex workflows such as Retrieval-Augmented Generation (RAG), function calling, and agentic coding. The model scores 86.3% on SimpleQA with RAG, 63.7% on the Berkeley Function Calling Leaderboard (BFCL), and 42.4% on SWE-bench Verified for software engineering tasks.
  • Longer context: The model offers a context window of one million tokens. This enables analysis of bigger data sets like large codebases, multiple documents and images, documents longer than 400 pages, or 90-minute-long videos.

Nova Premier is also the fastest and most cost-effective proprietary model in its intelligence tier in Amazon Bedrock. With Nova Premier and Amazon Bedrock Model Distillation, you can now create highly capable, cost-effective, and low-latency versions of Nova Pro, Lite, and Micro for your specific needs. For example, we used Nova Premier to distill Nova Pro for complex tool selection and API calling. The distilled Nova Pro had a 20% higher accuracy for API invocations compared to the base model and consistently matched the performance of the teacher, with the speed and cost benefits of Nova Pro.

Nova Premier is available in Amazon Bedrock in the following AWS Regions: US East (N. Virginia), US East (Ohio), and US West (Oregon) through cross-Region inference.

Learn more about Amazon Nova on the AWS News Blog, Amazon Nova product page, or Amazon Nova user guide. You can try Nova Premier at nova.amazon.com or get started building with Nova Premier in Amazon Bedrock from the Amazon Bedrock console.

 

​We’re excited to announce the general availability of Amazon Nova Premier, our most capable multimodal foundation model for complex tasks such as processing long documents, videos, large codebases, and executing multistep agentic workflows. It is also our most capable teacher model and can be used with Amazon Bedrock Model Distillation to create custom distilled models for specific needs.
Nova Premier extends the capabilities available from Amazon Nova understanding models with several key improvements, including:

Superior intelligence: The model scores 87.4% in the Massive Multitask Language Understanding (MMLU) benchmark for undergraduate-level knowledge, 82.0% on Math500 for mathematic problems, and 84.6% on the CharXiv benchmark for chart understanding.
Improved agentic capabilities: Nova Premier can perform end-to-end actions on behalf of the user, enabling more complex workflows such as Retrieval-Augmented Generation (RAG), function calling, and agentic coding. The model scores 86.3% on SimpleQA with RAG, 63.7% on the Berkeley Function Calling Leaderboard (BFCL), and 42.4% on SWE-bench Verified for software engineering tasks.
Longer context: The model offers a context window of one million tokens. This enables analysis of bigger data sets like large codebases, multiple documents and images, documents longer than 400 pages, or 90-minute-long videos.

Nova Premier is also the fastest and most cost-effective proprietary model in its intelligence tier in Amazon Bedrock. With Nova Premier and Amazon Bedrock Model Distillation, you can now create highly capable, cost-effective, and low-latency versions of Nova Pro, Lite, and Micro for your specific needs. For example, we used Nova Premier to distill Nova Pro for complex tool selection and API calling. The distilled Nova Pro had a 20% higher accuracy for API invocations compared to the base model and consistently matched the performance of the teacher, with the speed and cost benefits of Nova Pro.
Nova Premier is available in Amazon Bedrock in the following AWS Regions: US East (N. Virginia), US East (Ohio), and US West (Oregon) through cross-Region inference.
Learn more about Amazon Nova on the AWS News Blog, Amazon Nova product page, or Amazon Nova user guide. You can try Nova Premier at nova.amazon.com or get started building with Nova Premier in Amazon Bedrock from the Amazon Bedrock console.