Kategorie: Amazon AWS

Amazon Connect enhances AI-powered predictive insights

Today, Amazon Connect is announcing enhancements to AI-powered predictive insights that make it easier for businesses to deliver proactive, personalized customer experiences at scale. Building on the five recommendation algorithms launched at re:Invent 2025, AI-powered predictive insights now support up to 40 million product catalog items (8X increase), are available in message templates for trigger-based campaigns, and deliver up to 14% improved model accuracy. These enhancements enable businesses to automatically engage customers with the right message at the right time, while reducing the time required to deploy AI-powered personalization.
Businesses can now deliver trigger-based campaigns to initiate personalized outreach based on customer behavior and predictive signals – such as sending product recommendations when a customer abandons their cart or offering complementary services after a purchase. Businesses can now deliver targeted campaigns for specific customer cohorts based on predicted preferences and behaviors. Improved model accuracy and reduced training time mean businesses can deploy personalized experiences faster with greater confidence in the recommendations provided to customers.
With Amazon Connect Customer Profiles, you only pay-as-you-go for utilized profiles. Public preview for AI-powered predictive insights enhancements is available in Europe (Frankfurt), US East (N. Virginia), Asia Pacific (Seoul), Asia Pacific (Tokyo), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central).
To learn more, visit our webpages for Customer Profiles and explore the AI-powered predictive insights documentation.
Quelle: aws.amazon.com

Amazon EC2 G7e instances now available in Asia Pacific (Seoul) and Europe (Spain) regions

Starting today, Amazon EC2 G7e instances accelerated by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are now available in  Asia Pacific (Seoul) and Europe (Spain) regions. G7e instances offer up to 2.3x inference performance compared to G6e.
Customers can use G7e instances to deploy large language models (LLMs), agentic AI models, multimodal generative AI models, and physical AI models. G7e instances offer the highest performance for spatial computing workloads as well as workloads that require both graphics and AI processing capabilities. G7e instances feature up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with 96 GB of memory per GPU, and 5th Generation Intel Xeon processors. They support up to 192 virtual CPUs (vCPUs) and up to 1600 Gbps of networking bandwidth. G7e instances support NVIDIA GPUDirect Peer to Peer (P2P) that boosts performance for multi-GPU workloads. Multi-GPU G7e instances also support NVIDIA GPUDirect Remote Direct Memory Access (RDMA) with EFA in EC2 UltraClusters, reducing latency for small-scale multi-node workloads.
You can use G7e instances for Amazon EC2 in the following AWS Regions: US West (Oregon), US East (N. Virginia, Ohio), Europe (Spain) and Asia Pacific (Tokyo, Seoul). You can purchase G7e instances as On-Demand Instances, Spot Instances, or as part of Savings Plans.
To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit G7e instances.
Quelle: aws.amazon.com

IAM Roles Anywhere now supports post-quantum digital certificates

AWS Identity and Access Management (IAM) Roles Anywhere now supports the FIPS 204 Module-Lattice Digital Signature Standard (ML-DSA), a quantum-resistant digital signature algorithm standardized by the National Institute of Standards and Technology (NIST) to help protect against threat actors in possession of a large-scale quantum computer. ML-DSA is particularly valuable for IAM Roles Anywhere customers who authenticate workloads to AWS using X.509 certificates issued by certificate authorities, where a weakened signature algorithm could allow an unintended user to issue certificates and obtain unauthorized access. IAM Roles Anywhere enables workloads running outside of AWS to obtain temporary AWS credentials using X.509 certificates to access AWS resources. You establish trust between your AWS environment and your public key infrastructure (PKI) by creating a trust anchor, either by referencing your AWS Private Certificate Authority or registering your own certificate authorities (CAs) with IAM Roles Anywhere. You can now use ML-DSA-signed CA certificates as IAM Roles Anywhere trust anchors, and issue end entity certificates bound to ML-DSA keys. This feature is available in all AWS Regions where IAM Roles Anywhere is available, including the AWS GovCloud (US) Regions, AWS European Sovereign Cloud (Germany) Region, and China Regions. To learn more, see the IAM Roles Anywhere User Guide.
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Amazon Cognito is now available in Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions

Amazon Cognito is now available in the AWS Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions. This launch introduces all Amazon Cognito features and tiers, allowing customers to implement secure sign-in and access control for users, AI agents, and microservices in minutes.
For a full list of regions where Amazon Cognito is available, refer to the AWS Region Table. To learn more about Amazon Cognito, refer to Developer Guide, Product Detail Page, and Pricing Detail Page.
Quelle: aws.amazon.com

Amazon Quick Suite launches User Preferences for chat personalization

We are announcing User Preferences in Amazon Quick Suite – a new feature that gives users greater control over how Quick looks, feels, and works for them. With User Preferences, users can now customize their Chat panel layout by setting it to open expanded or collapsed by default; Quick also automatically remembers their last used setting and resumes from where they left off. Users can select a default chat agent and pre-select a default knowledge scope for My Assistant, so their preferred agent is ready each time they return to Quick. Users can also personalize their experience by letting Quick know what to call them and sharing their area of focus at work – Quick uses this context to personalize responses and make interactions more relevant. Finally, users can view and manage their memories directly from User Preferences. Previously, users had no way to persist their preferred Chat settings, agent selection, or personal context across sessions. User Preferences addresses this by giving users a single place to configure how Quick works for them, saving time and making every interaction feel more personalized from the start. User Preferences is available in all AWS Regions where Amazon Quick Suite is available. To learn more, visit the Amazon Quick Suite User Guide.
Quelle: aws.amazon.com

Amazon CloudWatch Logs announces increased query concurrency and API limits

Amazon CloudWatch Logs customers can now run up to 100 concurrent queries per account using  Logs Insights Query Language (Logs Insights QL). Customers can also execute 10 StartQuery API and 10 GetQueryResults API calls per second per account/per-region using Logs Insights QL.  With concurrency increasing from 30 to 100, more users can simultaneously run queries and leverage dashboards using Logs Insights QL. Customers using StartQuery and GetQueryResults APIs for Logs Insights QL benefit from higher limits without being throttled, enabling them to execute more queries and view results faster.
The limit increases for Logs Insights queries is available in US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Canada (Central), Canada (Calgary), South America (São Paulo), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), Europe (Milan), Europe (Zurich), Europe (Spain), Africa (Cape Town), Middle East(Tel Aviv), Asia Pacific (Mumbai), Asia Pacific (Hyderabad), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Melbourne), Asia Pacific (Tokyo), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Hong Kong), Asia Pacific (Jakarta), Asia Pacific (Bangkok), Asia Pacific (Malaysia), Asia Pacific (Auckland), Asia Pacific (Taipei), and Mexico (Querétaro). For more information, visit the  Amazon CloudWatch Logs documentation. 
Quelle: aws.amazon.com

Amazon Redshift introduces reusable templates for COPY operations

Amazon Redshift now supports templates for the COPY command, allowing you to store and reuse frequently used COPY parameters. This new feature enables you to create reusable templates that contain commonly utilized formatting parameters, eliminating the need to manually specify parameters for each COPY operation. Templates help maintain consistency across data ingestion operations that use the COPY command. They also reduce the time and effort required to execute COPY commands. You can create standardized configurations for different file types and data sources, ensuring consistent parameter usage across your teams and reducing the likelihood of errors caused by manual input. When parameters need to be updated, changes to the template automatically apply to all future uses, simplifying maintenance and improving operational efficiency. Support for templates for the COPY command is available in all AWS Regions, including the AWS GovCloud (US) Regions, where Amazon Redshift is available. To get started with templates, see the documentation or check out the AWS Blog.
Quelle: aws.amazon.com

Amazon Redshift introduces new array functions for semi-structured data processing

Amazon Redshift now supports nine new array functions for working with semi-structured data stored in the SUPER data type. The new functions include ARRAY_CONTAINS, ARRAY_DISTINCT, ARRAY_EXCEPT, ARRAY_INTERSECTION, ARRAY_POSITION, ARRAY_POSITIONS, ARRAY_SORT, ARRAY_UNION, and ARRAYS_OVERLAP, enabling you to search, compare, sort, and transform arrays directly within your SQL queries. Previously, performing these operations required writing complex custom PartiQL SQL logic. These functions simplify complex data transformations and reduce query complexity by enabling sophisticated array operations in a single SQL statement. For example, you can use ARRAY_CONTAINS and ARRAY_POSITION for element lookup, ARRAY_INTERSECTION and ARRAY_EXCEPT for set operations, or ARRAY_SORT and ARRAY_DISTINCT to organize and deduplicate data. These functions are particularly valuable for applications involving nested data structures, event processing, and analytics workflows where data needs to be aggregated, filtered, or transformed at scale. The new Amazon Redshift array functions are available in all AWS Regions, including the AWS GovCloud (US) Regions, where Amazon Redshift is available. To learn more, please visit our documentation.
Quelle: aws.amazon.com

Amazon Redshift Serverless now maintains datashare permissions during restore

Amazon Redshift Serverless now preserves datashare permissions when you restore a snapshot to the same namespace, simplifying data sharing workflows and reducing administrative overhead. Previously, restoring a serverless namespace from a snapshot required administrators to manually re-grant datashare permissions to consumer clusters and recreate consumer databases, even when restoring to the same namespace.
With this enhancement, datashare permissions are automatically maintained when you restore a snapshot to the same producer namespace, provided the datashare permission existed both when the snapshot was taken and on the current namespace. For consumer namespaces, datashare access remains unchanged after restore, eliminating the need for producer administrators to re-grant permissions. This streamlines disaster recovery and testing workflows by reducing manual configuration steps and potential errors. Amazon Redshift also provides EventBridge notifications to alert you when datashares are dropped, consumer access is revoked, or public accessibility changes during restore operations. This feature is available in all AWS Regions that support Amazon Redshift. To learn more, see the Amazon Redshift Management Guide.
Quelle: aws.amazon.com

Amazon EC2 R8g instances now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8g instances are available in AWS Middle East (UAE), AWS Mexico (Central), and AWS Europe (Zurich) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 R8g instances are ideal for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics. 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. AWS Graviton4-based R8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 1.5TB) than Graviton3-based R7g instances. These instances are up to 30% faster for web applications, 40% faster for databases, and 45% faster for large Java applications compared to AWS Graviton3-based R7g instances. R8g 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 R8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.
Quelle: aws.amazon.com