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[Preview Announcement] Re-introducing Forward Proxy as AWS Network Firewall Functionality

You can now use your Network Firewall with all its existing filtering capabilities and features as an explicit forward proxy.

On Nov 25, 2025, AWS introduced Network Firewall proxy in public preview to help customers exert centralized security controls against data exfiltration and malware injection. At the time, the Network Firewall proxy was introduced as a standalone product, separate from Network Firewall transparent firewall and used its own separate proxy security policy. Customers who tested it in preview shared that they want the Network Firewall proxy to maintain parity with Network Firewall’s existing set of capabilities and use the same security policy across the two functionalities. In keeping with customer feedback, we are reintroducing explicit proxy as a functionality of Network Firewall. With this launch, you can configure Network Firewall with your existing Firewall policy in a new no-source-preservation deployment where it can be used as an explicit proxy with all its existing features including managed rule groups, active threat defense, Geo-IP filtering, URL and domain category filtering, container attribute-based rules for Amazon EKS and Amazon ECS, etc. You can create a single security policy and use it for both explicit proxy and transparent firewall functionalities.

Try out AWS Network Firewall in no-source-preservation deployment with proxy functionality in your test environment today in US East (Ohio) region. no-source-preservation Network Firewall is available for free during public preview. For more information, check no-source-preservation Network Firewall documentation.

 

​You can now use your Network Firewall with all its existing filtering capabilities and features as an explicit forward proxy. On Nov 25, 2025, AWS introduced Network Firewall proxy in public preview to help customers exert centralized security controls against data exfiltration and malware injection. At the time, the Network Firewall proxy was introduced as a standalone product, separate from Network Firewall transparent firewall and used its own separate proxy security policy. Customers who tested it in preview shared that they want the Network Firewall proxy to maintain parity with Network Firewall’s existing set of capabilities and use the same security policy across the two functionalities. In keeping with customer feedback, we are reintroducing explicit proxy as a functionality of Network Firewall. With this launch, you can configure Network Firewall with your existing Firewall policy in a new no-source-preservation deployment where it can be used as an explicit proxy with all its existing features including managed rule groups, active threat defense, Geo-IP filtering, URL and domain category filtering, container attribute-based rules for Amazon EKS and Amazon ECS, etc. You can create a single security policy and use it for both explicit proxy and transparent firewall functionalities. Try out AWS Network Firewall in no-source-preservation deployment with proxy functionality in your test environment today in US East (Ohio) region. no-source-preservation Network Firewall is available for free during public preview. For more information, check no-source-preservation Network Firewall documentation.  

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Amazon Connect Customer now lets you export cases to CSV from the agent workspace

Amazon Connect Customer now supports exporting cases to a CSV file directly from the agent workspace, making it easier to share case data with internal teams and external stakeholders such as vendors, legal teams, or business partners. Agents can filter and select cases and choose which case fields to include in the export. Admins can control access using a security profile permission.

Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town). To learn more and get started, visit the Cases webpage and documentation.

 

​Amazon Connect Customer now supports exporting cases to a CSV file directly from the agent workspace, making it easier to share case data with internal teams and external stakeholders such as vendors, legal teams, or business partners. Agents can filter and select cases and choose which case fields to include in the export. Admins can control access using a security profile permission. Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town). To learn more and get started, visit the Cases webpage and documentation.  

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Run interactive workloads on Amazon EMR on EC2 with Spark Connect

Amazon EMR on EC2 now supports interactive Apache Spark sessions with Spark Connect. Data engineers and data scientists can develop and debug Apache Spark applications interactively from managed notebooks in Amazon SageMaker Unified Studio and their own IDEs, such as Jupyter and Visual Studio Code, with each session running on dedicated EMR on EC2 clusters. You can also monitor and debug active and completed sessions in the EMR console.

 

An interactive session provides a persistent Spark context that spans across cells and scripts, letting you blend local Python code execution with remote Spark operations. Spark Connect’s client-server architecture decouples your application client from the Spark driver and allows you to maintain your preferred development environment and tooling while Spark infrastructure runs on the cluster. This architecture supports workflows including ad hoc data exploration, iterative step-by-step debugging, and incremental PySpark job development before deploying to production. For observability, you get real-time session monitoring via the Spark UI, history tracking through the Spark History Server, and session management from the EMR console or API/CLI/SDK.

 

Interactive Sessions is available on Amazon EMR on EC2 with AWS runtime for Apache Spark (emr-spark-8.0) and later, in all AWS Regions where Amazon EMR is available, except the AWS GovCloud Regions and the China Regions. The Amazon SageMaker Unified Studio experience is available in supported regions. To get started, visit the Interactive sessions with Spark Connect guide or the Amazon SageMaker Unified Studio Getting Started guide.

 

​Amazon EMR on EC2 now supports interactive Apache Spark sessions with Spark Connect. Data engineers and data scientists can develop and debug Apache Spark applications interactively from managed notebooks in Amazon SageMaker Unified Studio and their own IDEs, such as Jupyter and Visual Studio Code, with each session running on dedicated EMR on EC2 clusters. You can also monitor and debug active and completed sessions in the EMR console.
 
An interactive session provides a persistent Spark context that spans across cells and scripts, letting you blend local Python code execution with remote Spark operations. Spark Connect’s client-server architecture decouples your application client from the Spark driver and allows you to maintain your preferred development environment and tooling while Spark infrastructure runs on the cluster. This architecture supports workflows including ad hoc data exploration, iterative step-by-step debugging, and incremental PySpark job development before deploying to production. For observability, you get real-time session monitoring via the Spark UI, history tracking through the Spark History Server, and session management from the EMR console or API/CLI/SDK.
 
Interactive Sessions is available on Amazon EMR on EC2 with AWS runtime for Apache Spark (emr-spark-8.0) and later, in all AWS Regions where Amazon EMR is available, except the AWS GovCloud Regions and the China Regions. The Amazon SageMaker Unified Studio experience is available in supported regions. To get started, visit the Interactive sessions with Spark Connect guide or the Amazon SageMaker Unified Studio Getting Started guide.  

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Amazon Bedrock launches Web Search for OpenAI GPT models

Today, we are announcing the general availability of Web Search on Amazon Bedrock, a built-in server side tool that performs web search entirely within AWS, enabling OpenAI models (GPT-5.4, GPT-5.5, and GPT-5.6 Sol/Terra/Luna) to ground responses with current web knowledge while maintaining data residency within your secured AWS environment with zero data egress. Previously, adding web grounding required onboarding a third-party search provider, managing separate API keys and billing, building custom orchestration, and conducting additional compliance reviews for each external vendor. Web Search removes this heavy lifting by enable grounding with a single parameter in an existing API call, with no vendor onboarding, no external APIs to orchestrate, and no additional vendor security reviews to conduct.

Web Search is built by Amazon, informed by years of experience across Alexa+, Amazon Quick and Kiro. It combines a web index operated by Amazon, spanning tens of billions of documents refreshed continually, with a built-in knowledge graph that provides verified facts. Rather than returning raw pages, Web Search performs semantic snippet extraction, delivering context-efficient results optimized for the model’s context window with low latency. Web Search integrates through a standardized tool-use interface, compatible with the OpenAI Responses API. Simply add the web search tool to your API call, and Bedrock handles the entire search lifecycle server-side; a single API call returns a grounded response with citations.

Web Search on Amazon Bedrock is generally available today in US East (N. Virginia), US East (Ohio), and US West (Oregon). To get started, read our blog post Introducing Web Search on Amazon Bedrock for foundation model grounding, review the Web Search section in the Amazon Bedrock User Guide for technical documentation, and visit the Amazon Bedrock pricing page for cost details.

 

​Today, we are announcing the general availability of Web Search on Amazon Bedrock, a built-in server side tool that performs web search entirely within AWS, enabling OpenAI models (GPT-5.4, GPT-5.5, and GPT-5.6 Sol/Terra/Luna) to ground responses with current web knowledge while maintaining data residency within your secured AWS environment with zero data egress. Previously, adding web grounding required onboarding a third-party search provider, managing separate API keys and billing, building custom orchestration, and conducting additional compliance reviews for each external vendor. Web Search removes this heavy lifting by enable grounding with a single parameter in an existing API call, with no vendor onboarding, no external APIs to orchestrate, and no additional vendor security reviews to conduct. Web Search is built by Amazon, informed by years of experience across Alexa+, Amazon Quick and Kiro. It combines a web index operated by Amazon, spanning tens of billions of documents refreshed continually, with a built-in knowledge graph that provides verified facts. Rather than returning raw pages, Web Search performs semantic snippet extraction, delivering context-efficient results optimized for the model’s context window with low latency. Web Search integrates through a standardized tool-use interface, compatible with the OpenAI Responses API. Simply add the web search tool to your API call, and Bedrock handles the entire search lifecycle server-side; a single API call returns a grounded response with citations. Web Search on Amazon Bedrock is generally available today in US East (N. Virginia), US East (Ohio), and US West (Oregon). To get started, read our blog post Introducing Web Search on Amazon Bedrock for foundation model grounding, review the Web Search section in the Amazon Bedrock User Guide for technical documentation, and visit the Amazon Bedrock pricing page for cost details.  

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AWS Security Hub Extended adds supply chain security as its 10th category

The AWS Security Hub Extended plan now includes Supply Chain Security as its 10th security category, with Chainguard and Socket as the curated partners. As developers adopt open-source libraries at scale, security teams need confidence that the packages entering their environments are trustworthy and free from malicious code. With this addition, you can detect and block malicious dependencies before they are built into your applications, with the same streamlined activation and pay-as-you-go pricing as every other Extended category. This brings the Extended plan to 23 curated partner solutions. All solutions are on a single AWS bill and no required long-term commitments.

Security Hub Extended is a plan within AWS Security Hub that helps simplify how you procure, deploy, and integrate a full-stack enterprise security solution across endpoint, identity, email, network, data, browser, cloud, AI, security operations, and supply chain. Security findings from all participating solutions are emitted in the Open Cybersecurity Schema Framework (OCSF) and automatically aggregated in AWS Security Hub. With the Extended plan, you can combine AWS and curated partner solutions to quickly identify and respond to risks that span boundaries.

We will continue to expand the Extended plan based on customer feedback. The two new curated partner solutions are available today in all AWS commercial Regions where Security Hub is available. For a list of supported Regions, see the AWS Region table. For more information about pricing, visit the AWS Security Hub pricing page. To get started, visit the AWS Security Hub console or product page.

 

​The AWS Security Hub Extended plan now includes Supply Chain Security as its 10th security category, with Chainguard and Socket as the curated partners. As developers adopt open-source libraries at scale, security teams need confidence that the packages entering their environments are trustworthy and free from malicious code. With this addition, you can detect and block malicious dependencies before they are built into your applications, with the same streamlined activation and pay-as-you-go pricing as every other Extended category. This brings the Extended plan to 23 curated partner solutions. All solutions are on a single AWS bill and no required long-term commitments.
Security Hub Extended is a plan within AWS Security Hub that helps simplify how you procure, deploy, and integrate a full-stack enterprise security solution across endpoint, identity, email, network, data, browser, cloud, AI, security operations, and supply chain. Security findings from all participating solutions are emitted in the Open Cybersecurity Schema Framework (OCSF) and automatically aggregated in AWS Security Hub. With the Extended plan, you can combine AWS and curated partner solutions to quickly identify and respond to risks that span boundaries.
We will continue to expand the Extended plan based on customer feedback. The two new curated partner solutions are available today in all AWS commercial Regions where Security Hub is available. For a list of supported Regions, see the AWS Region table. For more information about pricing, visit the AWS Security Hub pricing page. To get started, visit the AWS Security Hub console or product page.  

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Amazon EC2 C8g instances now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Europe (Paris), AWS Africa (Cape Town), AWS Israel (Tel Aviv), and AWS Canada West (Calgary) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.

AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon C7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. C8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS).

To learn more, see Amazon EC2 C8g Instances. To get started, see the AWS Management Console.

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Europe (Paris), AWS Africa (Cape Town), AWS Israel (Tel Aviv), and AWS Canada West (Calgary) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.
AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon C7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. C8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS).
To learn more, see Amazon EC2 C8g Instances. To get started, see the AWS Management Console.  

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AWS Application and Network Load Balancers now support RFC 9151 compliant security policies

AWS Application Load Balancer (ALB) and Network Load Balancer (NLB) now support new TLS-based security policies that comply with RFC 9151 TLS server requirements for Commercial National Security Algorithm (CNSA) 1.0 suite requirements. These policies implement the cryptographic requirements defined by the US National Security Agency (NSA) for secure communications using TLS 1.2 and TLS 1.3 protocols.

Customers who are required to meet CNSA 1.0 TLS security requirements can now use ALB and NLB with RFC 9151 compliant security policies. Broader interoperability policies are also supported, allowing you to implement CNSA by default while maintaining compatibility with non-CNSA clients during their transition to RFC 9151 compliance, minimizing service disruption.

This feature is available for ALB and NLB in all AWS Commercial Regions, the AWS GovCloud (US) Regions, and the China region at no additional cost. To use this capability, update your existing ALB HTTPS listeners or NLB TLS listeners to a RFC 9151 compliant security policy, or select a compliant policy when creating new listeners through the AWS Management Console, CLI, API, or SDK.

To learn more, visit the ALB User Guide and NLB User Guide documentation. Get started with Elastic Load Balancing.

 

​AWS Application Load Balancer (ALB) and Network Load Balancer (NLB) now support new TLS-based security policies that comply with RFC 9151 TLS server requirements for Commercial National Security Algorithm (CNSA) 1.0 suite requirements. These policies implement the cryptographic requirements defined by the US National Security Agency (NSA) for secure communications using TLS 1.2 and TLS 1.3 protocols. Customers who are required to meet CNSA 1.0 TLS security requirements can now use ALB and NLB with RFC 9151 compliant security policies. Broader interoperability policies are also supported, allowing you to implement CNSA by default while maintaining compatibility with non-CNSA clients during their transition to RFC 9151 compliance, minimizing service disruption. This feature is available for ALB and NLB in all AWS Commercial Regions, the AWS GovCloud (US) Regions, and the China region at no additional cost. To use this capability, update your existing ALB HTTPS listeners or NLB TLS listeners to a RFC 9151 compliant security policy, or select a compliant policy when creating new listeners through the AWS Management Console, CLI, API, or SDK. To learn more, visit the ALB User Guide and NLB User Guide documentation. Get started with Elastic Load Balancing.  

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Amazon EC2 I8g instances now available in AWS Europe (Paris), Asia Pacific (Jakarta) regions

AWS announces the general availability of Amazon EC2 Storage Optimized I8g instances in AWS Europe (Paris) and Asia Pacific (Jakarta) regions. I8g instances are powered by AWS Graviton4 processors and offer the best compute performance in Amazon EC2 for storage-intensive workloads. I8g instances use the 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 compared to I4g instances. 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 eleven different sizes including two metal sizes, 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 Amazon EC2 I8g instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.

 

​AWS announces the general availability of Amazon EC2 Storage Optimized I8g instances in AWS Europe (Paris) and Asia Pacific (Jakarta) regions. I8g instances are powered by AWS Graviton4 processors and offer the best compute performance in Amazon EC2 for storage-intensive workloads. I8g instances use the 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 compared to I4g instances. 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 eleven different sizes including two metal sizes, 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 Amazon EC2 I8g instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.  

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Amazon RDS for SQL Server now support BYOM in additional commercial regions

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports Bring Your Own Media (BYOM) in 10 additional AWS Regions: Asia Pacific (Taipei, Hyderabad, Jakarta, Malaysia, Melbourne, New Zealand, Thailand), Europe (Milan, Spain), and Mexico (Central).

With BYOM, you can adopt Amazon RDS as a managed database service and reuse your existing Microsoft SQL Server licenses with active Software Assurance, through Microsoft’s License Mobility program. BYOM is supported on SQL Server 2019, 2022, and 2025. Amazon RDS for SQL Server BYOM is integrated with AWS License Manager so you can track license usage across your AWS environment for compliance.

To learn more, see Bring Your Own Media (BYOM) for RDS for SQL Server. For pricing and regional availability, see Amazon RDS for SQL Server Pricing.

 

​Amazon Relational Database Service (Amazon RDS) for SQL Server now supports Bring Your Own Media (BYOM) in 10 additional AWS Regions: Asia Pacific (Taipei, Hyderabad, Jakarta, Malaysia, Melbourne, New Zealand, Thailand), Europe (Milan, Spain), and Mexico (Central). With BYOM, you can adopt Amazon RDS as a managed database service and reuse your existing Microsoft SQL Server licenses with active Software Assurance, through Microsoft’s License Mobility program. BYOM is supported on SQL Server 2019, 2022, and 2025. Amazon RDS for SQL Server BYOM is integrated with AWS License Manager so you can track license usage across your AWS environment for compliance. To learn more, see Bring Your Own Media (BYOM) for RDS for SQL Server. For pricing and regional availability, see Amazon RDS for SQL Server Pricing.  

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Dentro de organizaciones sin fines de lucro que utilizan IA para ampliar su impacto

Dentro de organizaciones sin fines de lucro que utilizan IA para ampliar su impacto

Transformen la oportunidad en impacto con la IA

Por: Jill Tennant, líder global de marketing de Microsoft Elevate.

Un refugio de animales pronostica dónde se necesitarán hogares de acogida antes de que la «temporada de gatitos» alcance su punto álgido. Investigadores que estudian una enfermedad neurodegenerativa que afecta a cientos de miles de personas aceleran el progreso hacia tratamientos y curas. Una pequeña organización sin fines de lucro dedica más tiempo a mentorizar a jóvenes y menos tiempo enterrada en papeleo.

Estas historias no tienen mucho en común en la superficie, pero juntas apuntan a un cambio más amplio: la IA ayuda a organizaciones sin fines de lucro de todo el mundo a afrontar algunos de los desafíos más urgentes de la sociedad.

Animal Protection Denmark, Answer ALS y Everything Suarve son tres organizaciones sin fines de lucro que recurrieron a Microsoft para resolver diferentes problemas. Hoy en día, la IA les ayuda a ampliar oportunidades, fortalecer comunidades y crear nuevas posibilidades para las personas, animales y causas a las que sirven—para ampliar su impacto mucho más allá de lo que su tamaño o recursos podrían permitir.

Descubran cómo Microsoft ayuda a las organizaciones sin fines de lucro a acelerar sus misiones

Animal Protection Denmark: De la conjetura a la visión en el cuidado de gatitos

Cada año, Animal Protection Denmark se prepara para la «temporada de gatitos», cuando los refugios ven un aumento de animales vulnerables que necesitan cuidados. A medida que la organización crecía, también lo hacía el volumen de datos que circulaban entre refugios, redes de acogida, voluntarios y simpatizantes. Los equipos a menudo dedicaban largas horas cada mes a reconciliar información de diferentes sistemas, lo que dificultaba prever necesidades y coordinar recursos.

A través de la utilización de datos de Microsoft y capacidades de IA, Animal Protection Denmark unificó esos datos en una única fuente de verdad. Los equipos pueden identificar tendencias antes, prever la demanda de colocaciones en acogida y monitorizar la capacidad de los refugios en tiempo real. El personal también puede acceder a registros completos de cada animal, lo que ayuda a garantizar la continuidad del cuidado y apoyar decisiones de adopción más rápidas.

Al combinar una base de datos unificada con conocimientos impulsados por IA, Animal Protection Denmark dedica menos tiempo a gestionar la información y más tiempo a actuar sobre ella. El resultado es una planificación más temprana, decisiones más rápidas y mejores resultados para los animales que dependen de ellas.

Lean cómo Animal Protection Denmark amplía su impacto con Microsoft

Answer ALS: Convertir datos en descubrimiento

Answer ALS se creó para acelerar el avance hacia tratamientos y una cura para la esclerosis lateral amiotrófica (ELA, por sus siglas en inglés), una enfermedad neurodegenerativa progresiva que afecta a más de 450.000 personas en todo el mundo. Junto con Microsoft, la organización construyó Neuromine, uno de los mayores centros de investigación sobre ELA del mundo, para reunir billones de puntos de datos aportados por más de 2.500 personas que viven con la enfermedad. Azure AI Search impulsa la función de consulta de Neuromine para que los investigadores puedan obtener con rapidez, detalles sobre la trayectoria de la enfermedad de una persona o incluso su ADN, lo que ayuda a localizar líneas celulares para estudios posteriores.

Además, Answer ALS está en proceso de desarrollo de un chatbot en Microsoft Foundry que utiliza IA generativa para responder preguntas de los usuarios y dirigir a los investigadores hacia datos relevantes. Antes de Neuromine, los investigadores solían pasar meses, y a veces más de un año, en reunir datos y muestras biológicas antes de que pudiera comenzar un análisis significativo. Hoy en día, investigadores de todo el mundo pueden acceder a cientos de líneas de pacientes y datos clínicos relacionados en horas en lugar de meses, ayudándoles a pasar más rápido de las preguntas a las perspectivas.

Al facilitar la exploración, el intercambio y el desarrollo de datos de investigación de alta calidad, Answer ALS ayuda a acelerar la investigación hasta en un 65% en los próximos años. La plataforma permite a investigadores de todo el mundo colaborar de forma más eficaz, descubrir nuevos patrones en los datos y avanzar en la búsqueda de mejores tratamientos y, en última instancia, de una cura.

Descubran cómo Answer ALS avanza hacia tratamientos y curas con Microsoft Azure

Everything Suarve: Escalar segundas oportunidades con IA

Everything Suarve ayuda a los jóvenes en Australia a reconstruir sus vidas mediante formación laboral, mentoría, apoyo en salud mental y habilidades prácticas para la vida. Muchos participantes llegan tras enfrentarse a desafíos como la inseguridad en la vivienda, entornos familiares inestables o traumas. Para un equipo pequeño, el trabajo depende de la confianza, la constancia y de estar presente para los jóvenes cuando más necesitan apoyo.

A medida que crecía la demanda de sus programas, también lo hacía la carga administrativa. Las derivaciones llegaban por correo electrónico, formularios en papel y llamadas telefónicas, mientras el personal seguía el progreso de los participantes a través de sistemas desconectados. Para agilizar las operaciones, Everything Suarve utilizó datos de Microsoft y capacidades de IA para construir una solución que centraliza la inscripción, la gestión de casos, la presentación de informes y las comunicaciones. La organización también utiliza Microsoft 365 Copilot para ayudar con la redacción de subvenciones, el resumen de documentos y otras tareas administrativas, reduciendo el tiempo dedicado al trabajo manual.

Hoy en día, el equipo de Everything Suarve puede gestionar derivaciones, notas de casos, informes y comunicaciones con los participantes en un único flujo de trabajo. La nueva plataforma ahorra hasta ocho horas por participante durante la inscripción, mientras que Copilot reduce el trabajo de solicitud de subvenciones hasta en dos semanas. Al automatizar procesos y poner la IA en marcha, Everything Suarve reduce la carga administrativa y crea más tiempo para ayudar a los jóvenes a ganar confianza, habilidades y un camino hacia el empleo, la educación y la estabilidad a largo plazo.

Descubran cómo Everything Suarve ayuda a los jóvenes a prosperar con Microsoft

¿Qué pueden aprender otras organizaciones sin fines de lucro de estas historias

Estas tres organizaciones sirven a diferentes comunidades y persiguen objetivos distintos. Sin embargo, juntas demuestran que las organizaciones generan el mayor valor de la IA cuando la utilizan para fortalecer la experiencia humana y partir de un problema que merece la pena resolver o una misión que merece ser impulsada.

En Animal Protection Denmark, el personal puede detectar necesidades antes de que alcancen su pico. En Answer ALS, los investigadores comprimen años de descubrimientos en meses. En Everything Suarve, el personal dedica menos tiempo a los formularios y más tiempo con los jóvenes que reconstruyen sus vidas.

En conjunto, estas historias reflejan un cambio más amplio que ya está en marcha en organizaciones de todos los tamaños. La IA se ha comenzado a convertir en parte de cómo se toman las decisiones, cómo se prestan los servicios y cómo trabajan las personas. El éxito ya no se define solo por la tecnología. Proviene de combinar la tecnología con el juicio, la experiencia y el propósito humanos.

A esto lo llamamos Frontier Transformation: ir más allá de herramientas aisladas y tareas individuales para replantearse cómo cumplen su misión. A veces el resultado es una mayor eficiencia. A menudo, crea algo más significativo: la capacidad de llegar a más personas, responder más rápido y extender el impacto de formas que antes estaban fuera de su alcance.

A medida que la IA se vuelve más accesible, estas organizaciones sin fines de lucro demuestran que la transformación significativa no está reservada para las grandes empresas. Puede comenzar en cualquier lugar donde la gente esté dispuesta a combinar la innovación con un claro sentido de propósito.

Descubran cómo Microsoft Elevate para ONGs puede ayudar a ampliar el impacto social

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