Cloud Computing Köln

AWS Blu Insights is now AWS Transform for mainframe refactor

AWS Blu Insights capabilities are now available as part of AWS Transform, enabling customers to launch mainframe refactoring projects from the AWS Transform console. This launch unifies all three mainframe modernization patterns — refactor, replatform, and reimagine — within AWS Transform for mainframe. Code transformation is now offered at no cost, replacing the previous lines-of-code based pricing model. With this launch, you can access AWS Transform for mainframe refactor directly from the AWS Transform console using your existing AWS credentials. The mandatory three-level certification requirement to access the Transformation Center has been removed, lowering the friction to exploring refactor projects. Self-paced training content remains available within the application for those who want to build deeper knowledge. AWS Transform for mainframe refactor is available in 18 AWS Regions. In regions where AWS Transform for mainframe is not yet available, you can continue to access the service through the AWS Mainframe Modernization console. To get started, visit the AWS Transform for mainframe refactor user guide.
Quelle: aws.amazon.com

Amazon SageMaker Unified Studio supports aggregated view of data lineage

Amazon SageMaker Unified Studio now provides an aggregated view of data lineage, displaying all jobs contributing to your dataset. The aggregated view gives you a complete picture of data transformations and dependencies across your entire lineage graph, helping you quickly identify all upstream sources and downstream consumers of your datasets. Previously, SageMaker Unified Studio showed the lineage graph as it existed at a specific point in time, which is useful for troubleshooting and investigating specific data processing events. The aggregated view now provides a complete picture of data transformations and dependencies across multiple levels of the lineage graph. You can use this view to understand the full scope of jobs impacting your datasets and to identify all upstream sources and downstream consumers. The aggregated view is available as the default lineage view in Amazon SageMaker Unified Studio for IdC-based domains. You can switch to the previous view by toggling the “display in event timestamp order” option. You can also query the lineage graph using the new QueryGraph API, which provides lineage node graphs with metadata and augmented business context. Aggregated view of lineage is available in all existing Amazon SageMaker Unified Studio regions. For detailed information on how to get started with lineage using these new features, refer to the documentation and API.
Quelle: aws.amazon.com

Amazon Connect voice AI agents now supports 13 new languages

Amazon Connect now supports 13 new languages for voice AI agents, bringing the total to 40 language locales.  New languages include Arabic (Saudi Arabia), Czech, Danish, Dutch (Belgium), English (Ireland), English (New Zealand), English (Wales), German (Switzerland), Icelandic, Romanian, Spanish (Mexico), Turkish, and Welsh.
Amazon Connect’s agentic self-service capabilities enable AI agents to understand, reason, and take action across voice and digital channels to automate routine and complex customer service tasks across multiple languages.  
To learn more about this feature, see the Amazon Connect Administrator Guide. To learn more about Amazon Connect, a complete AI-powered contact center solution delivering personalized customer experiences at scale, visit the Amazon Connect website.
Quelle: aws.amazon.com

Amazon Connect expands agentic speech-to-speech voice experiences to the London (Europe) region and adds three new voices

Amazon Connect now offers agentic speech-to-speech voice experiences in an additional AWS Region: Europe (London). Amazon Connect also adds three new speech-to-speech voices across US Spanish and UK English: Pedro (es-US), Amy (en-GB), and Brian (en-GB).
Amazon Connect’s agentic self-service capabilities enable AI agents to understand, reason, and take action across voice and messaging channels to automate routine and complex customer service tasks. Connect’s agentic speech-to-speech voice AI agents understand not only what customers say but how they say it, adapting voice responses to match customer tone and sentiment while maintaining natural conversational pace. With these updates, you can deliver agentic speech-to-speech voice experiences to customers across a new region with a wider selection of voices.
To learn more about this feature, see the Amazon Connect Administrator Guide. To learn more about Amazon Connect, a complete AI-powered contact center solution delivering personalized customer experiences at scale, visit the Amazon Connect website.
Quelle: aws.amazon.com

Amazon Bedrock is now available in Asia Pacific (New Zealand)

Starting today, customers can use Amazon Bedrock in the Asia Pacific (New Zealand) Region to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as powerful tools to build generative AI applications. Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, OpenAI, Stability AI, as well as Amazon via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI built in. These capabilities help you build tailored applications for multiple use cases across different industries, helping organizations unlock sustainable growth from generative AI while maintaining privacy and security. With this launch, customers can now use models from Anthropic (Sonnet 4.5, Sonnet 4.6, Opus 4.5, Opus 4.6, Haiku 4.5) and Amazon (Nova 2 Lite) in New Zealand with cross region inference. To get started, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details.
Quelle: aws.amazon.com