Kategorie: Amazon AWS

AWS Clean Rooms now supports collaboration with cross-region data sources

Today, AWS Clean Rooms announces support for cross-region data collaboration. This launch enables companies and their partners to easily collaborate with data sources stored in different regions, without having to move, copy, or share their underlying data. With AWS Clean Rooms support for cross-region data collaboration, organizations can collaborate with their partners by leveraging datasets stored in regions outside of their own. Companies can collaborate with data sources stored in different AWS and Snowflake Regions from where their collaboration is hosted, eliminating the need to move or replicate data across regions to collaborate with their partners. Collaboration creators can control where their analysis results are delivered by configuring a set of allowed regions, helping each collaborator comply with applicable data residency requirements and sovereignty laws. For example, a media publisher with data stored in US East (N. Virginia) can collaborate with an advertising partner whose data resides in EU Central (Frankfurt) without building additional data pipelines or sharing underlying data with one another. With AWS Clean Rooms, customers can create a secure data clean room in minutes and collaborate with any company on AWS or Snowflake to generate unique insights about advertising campaigns, investment decisions, and research and development. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
Quelle: aws.amazon.com

Amazon Connect now provides generative AI-powered email conversation overviews and suggested responses

Amazon Connect now provides agents with generative AI-powered email conversation overviews, suggested actions, and responses. This enables agents to handle emails more efficiently, and customers to receive faster, more consistent support. For example, when a customer emails about a refund request, Amazon Connect automatically provides key details about the customer’s purchase history, recommends a refund resolution step-by-step guide, and generates an email response to help resolve the contact quickly. To enable this feature, add the Amazon Q in Connect block to your flows before an email contact is assigned to your agent. You can customize the outputs of your email generative AI-powered assistant by adding knowledge bases and defining your prompts to guide the AI agent with generating responses that match your company’s language, tone, and policies for consistent customer service. This new feature is available in all AWS regions where Amazon Q in Connect is available. To learn more and get started, refer to the help documentation, pricing page, or visit the Amazon Connect website.
Quelle: aws.amazon.com

Amazon OpenSearch Ingestion now supports batch AI inference

You can now perform batch AI inference within Amazon OpenSearch Ingestion pipelines to efficiently enrich and ingest large datasets for Amazon OpenSearch Service domains. Previously, customers used OpenSearch’s AI connectors to Amazon Bedrock, Amazon SageMaker, and 3rd-party services for real-time inference. Inferences generate enrichments such as vector embeddings, predictions, translations, and recommendations to power AI use cases. Real-time inference is ideal for low-latency requirements such as streaming enrichments. Batch inference is ideal for enriching large datasets offline, delivering higher performance and cost efficiency. You can now use the same AI connectors with Amazon OpenSearch Ingestion pipelines as an asynchronous batch inference job to enrich large datasets such as generating and ingesting up to billions of vector embeddings. This feature is available in all regions that support Amazon OpenSearch Ingestion and 2.17+ domains. Learn more from the documentation.
Quelle: aws.amazon.com

AWS Directory Service enables API-driven Managed Microsoft AD edition upgrades

AWS Directory Service now enables customers to upgrade Managed Microsoft AD from Standard to Enterprise Edition programmatically through the UpdateDirectorySetup API. The self-service edition upgrade eliminates the need for support tickets when scaling Managed Microsoft AD directories. The API-driven Standard to Enterprise Edition upgrade removes operational barriers that previously required coordinating maintenance windows with AWS support, enabling on-demand directory scaling with automated pre-upgrade snapshots and sequential domain controller upgrades. This streamlined process ensures data protection through automatic backup creation before upgrades begin, while the sequential upgrade approach maintains directory availability throughout the process. Organizations can now scale their directory infrastructure in response to growing user bases or expanding application requirements without the delays associated with traditional support-driven upgrade processes. The programmatic approach enables integration with existing automation frameworks and infrastructure-as-code deployments. Directory size upgrades are available in all AWS Directory Service regions through the AWS SDK, providing consistent upgrade capabilities across global deployments. To learn more, see the AWS Directory Service documentation and UpdateDirectorySetup API reference.
Quelle: aws.amazon.com

AWS Builder ID now supports Sign in with Google

You can now create an AWS Builder ID using sign in with Google. AWS Builder ID is a personal profile that provides access to AWS applications including Kiro, AWS Builder Center, AWS Training and Certification, AWS re:Post and AWS Startups. AWS Builder ID represents you as an individual and is independent from any credentials and data you may have in existing AWS accounts. Like other personal profiles, AWS Builder ID remains with you as you progress through your personal, educational, and career goals. Sign in with Google offers a convenient way for you to access AWS applications and websites with a single click using your Google account. This eliminates the need for separate credentials, further simplifies the registration process, and reduces the likelihood of forgotten passwords. Returning users will benefit from a frictionless sign-in experience to their AWS applications. Sign in with Google is available to help you get started quickly with any of the applications that support AWS Builder ID.
Quelle: aws.amazon.com

Amazon GameLift Servers adds ability to view and connect to instances in the console

Today, Amazon GameLift Servers launched new console capabilities that let you view and connect to individual fleet instances. The EC2 and Container Fleet Detail pages have a new Instances tab to see a list of instances associated with a fleet. For each instance, there is an instance details page that displays metadata in a human-readable format (data also available via Amazon GameLift Server APIs). From the list and detail views, you can invoke the connect button, open a modal, and launch AWS CloudShell to start an SSM session directly into that instance. These console improvements give hands-on tools to debug, inspect, and resolve issues faster. Instead of relying on external tooling or guesswork, directly investigate host performance, pull recent game server logs, or diagnose issues such as network configuration and instance health – all from within the Amazon GameLift Servers Console. This reduces turnaround time when troubleshooting and enhances visibility into what’s happening “under the hood” of a game server fleet. SSM in Console is available in Amazon GameLift Servers supported regions, except AWS China. For more information, visit the Amazon GameLift Servers documentation.
Quelle: aws.amazon.com

Amazon Connect now provides agent time-off balance data in analytics data lake

Amazon Connect now provides agent time-off balance data in analytics data lake, making it easier for you to generate reports and insights from this data. With this launch, you can now access latest and historical agent time-off balances across different time-off categories (paid time-off, sick leave, leave of absence, etc.) in the analytics data lake. In addition to balances, you can also view a chronological list of all transactions that impacted the balance. For example, if an agent starts with 80 hours of paid time-off on January 1, submits a 20-hour request on January 3, and later cancels it, you can see each transaction’s impact on the final 80-hour balance. This launch makes time-off management easier by eliminating the need for managers to manually reconcile balances and time-off transactions, thus improving manager productivity and making it easier for them to respond to agent inquiries. This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about Amazon Connect agent scheduling, click here.
Quelle: aws.amazon.com

AWS Direct Connect announces 100G expansion in Makati City, Philippines

Today, AWS announced the expansion of 10 Gbps and 100 Gbps dedicated connections with MACsec encryption capabilities at the existing AWS Direct Connect location in the ePLDT data center near Makati City, Philippines. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet.  For more information on the over 146 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.
Quelle: aws.amazon.com

Amazon Connect now supports agent screen recording for ChromeOS

Amazon Connect now provides screen recording for agents using ChromeOS devices making it easier for you to help improve their performance. With screen recording, you can identify areas for agent coaching (e.g., long contact handle duration or non-compliance with business processes) by not only listening to customer calls or reviewing chat transcripts, but also watching agents’ actions while handling a contact (i.e., a voice call, chat, or task). Screen recording on ChromeOS is available in all the AWS Regions where Amazon Connect is already available. To learn more about screen recording, please visit the documentation and webpage. For information about screen recording pricing, visit the Amazon Connect pricing page.
Quelle: aws.amazon.com

Announcing Apache Airflow 3.0 support in Amazon Managed Workflows for Apache Airflow

Amazon Managed Workflows for Apache Airflow (MWAA) now supports Apache Airflow version 3.0, the latest major release of the workflow orchestration platform. This release enhances your ability to author, schedule, and monitor complex workflows with greater efficiency and control. Amazon MWAA is a managed service for Apache Airflow that enables seamless workflow orchestration using the familiar Apache Airflow platform. The availability of Apache Airflow v3.0 on MWAA introduces substantial improvements to workflow orchestration, including a completely redesigned interface for enhanced usability and advanced event-driven scheduling capabilities. This new scheduling system triggers workflows based on external events directly, eliminating the need for separate asset update pipelines. The newly introduced Task SDK in Apache Airflow v3.0 on MWAA help you simplify DAGs by reducing boilerplate code, making workflows more concise, readable, and consistent. Security and isolation are strengthened through the Task Execution API, which restricts direct access to the metadatabase and manages all runtime interactions. This release also features scheduler-managed backfill functionality, providing you better control over historical data processing. Additionally, MWAA now supports Python 3.12, while incorporating critical security improvements and bug fixes that enhance the overall reliability and security of your workflows in Amazon MWAA environments. You can launch a new Apache Airflow 3.0 environment on Amazon MWAA with just a few clicks in the AWS Management Console in all currently supported Amazon MWAA regions. To learn more about Apache Airflow 3.0 visit the Amazon MWAA documentation, and the Apache Airflow 3.0 change log in the Apache Airflow documentation. Apache, Apache Airflow, and Airflow are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.
Quelle: aws.amazon.com