Amazon Connect Contact Lens now supports external voice in the Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), and Europe (London) AWS Regions. Amazon Connect integrates with other voice systems for real-time and post-call analytics to help improve customer experience and agent performance with your existing voice system.

Amazon Connect Contact Lens provides call recordings, conversational analytics (including contact transcript, generative AI post-contact summary, sensitive data redaction, contact categorization, theme detection, sentiment analysis, and real-time alerts), and generative AI for automating evaluations of up to 100% of customer interactions (including evaluation forms, automated evaluation, supervisor review) with a rich user experience to display, search and filter customer interactions, and programmatic access to data streams and the data lake. If you are an existing Amazon Connect customer, you can expand your use of Contact Lens to other voice systems for consistent analytics in a single data warehouse. If you want to migrate your contact center to Amazon Connect, you can start with Contact Lens analytics and performance insights before migrating their agents.

For the list of AWS Regions where Amazon Connect Contact Lens supports external voice, refer to Availability of Amazon Connect features by Region in the Amazon Connect Administrator Guide.

To learn more about Amazon Connect and other voice systems, review the following resources:

• Amazon Connect Contact Lens and pricing
• Enable conversational analytics with Contact Lens – Amazon Connect Administrator Guide
• Contact Lens with external voice systems – Amazon Connect Administrator Guide

 

​Amazon Connect Contact Lens now supports external voice in the Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), and Europe (London) AWS Regions. Amazon Connect integrates with other voice systems for real-time and post-call analytics to help improve customer experience and agent performance with your existing voice system. Amazon Connect Contact Lens provides call recordings, conversational analytics (including contact transcript, generative AI post-contact summary, sensitive data redaction, contact categorization, theme detection, sentiment analysis, and real-time alerts), and generative AI for automating evaluations of up to 100% of customer interactions (including evaluation forms, automated evaluation, supervisor review) with a rich user experience to display, search and filter customer interactions, and programmatic access to data streams and the data lake. If you are an existing Amazon Connect customer, you can expand your use of Contact Lens to other voice systems for consistent analytics in a single data warehouse. If you want to migrate your contact center to Amazon Connect, you can start with Contact Lens analytics and performance insights before migrating their agents. For the list of AWS Regions where Amazon Connect Contact Lens supports external voice, refer to Availability of Amazon Connect features by Region in the Amazon Connect Administrator Guide. To learn more about Amazon Connect and other voice systems, review the following resources:

Amazon Connect Contact Lens and pricing
Enable conversational analytics with Contact Lens – Amazon Connect Administrator Guide
Contact Lens with external voice systems – Amazon Connect Administrator Guide  

We are excited to announce the general availability of AWS Elastic Beanstalk in Asia Pacific (Thailand), (Malaysia), and Europe (Spain).

AWS Elastic Beanstalk is a service that simplifies application deployment and management on AWS. The service automatically handles deployment, capacity provisioning, load balancing, auto-scaling, and application health monitoring, allowing developers to focus on writing code.

For a complete list of regions and service offerings, see AWS Regions.

To get started on AWS Elastic Beanstalk, see the AWS Elastic Beanstalk Developer Guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page. 

 

​We are excited to announce the general availability of AWS Elastic Beanstalk in Asia Pacific (Thailand), (Malaysia), and Europe (Spain).
AWS Elastic Beanstalk is a service that simplifies application deployment and management on AWS. The service automatically handles deployment, capacity provisioning, load balancing, auto-scaling, and application health monitoring, allowing developers to focus on writing code.
For a complete list of regions and service offerings, see AWS Regions.
To get started on AWS Elastic Beanstalk, see the AWS Elastic Beanstalk Developer Guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.   

Starting today, AWS Deadline Cloud supports running Maxon Cinema 4D and Redshift render jobs on Linux service-managed fleets. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design.

Previously available only on Windows fleets, you can now run Cinema 4D and Redshift jobs on Linux service-managed fleets reducing the compute costs for workers. AWS Deadline Cloud automatically handles the provisioning and elastic scaling of compute resources required for rendering your Cinema 4D and Redshift projects. Service-managed fleets can be configured in minutes so you can begin rendering immediately.

Cinema 4D and Redshift is available on Linux service-managed fleets in all AWS regions where AWS Deadline Cloud is currently offered. To learn more about AWS Deadline Cloud visit the AWS Deadline Cloud documentation.

 

​Starting today, AWS Deadline Cloud supports running Maxon Cinema 4D and Redshift render jobs on Linux service-managed fleets. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design. Previously available only on Windows fleets, you can now run Cinema 4D and Redshift jobs on Linux service-managed fleets reducing the compute costs for workers. AWS Deadline Cloud automatically handles the provisioning and elastic scaling of compute resources required for rendering your Cinema 4D and Redshift projects. Service-managed fleets can be configured in minutes so you can begin rendering immediately. Cinema 4D and Redshift is available on Linux service-managed fleets in all AWS regions where AWS Deadline Cloud is currently offered. To learn more about AWS Deadline Cloud visit the AWS Deadline Cloud documentation.  

AWS Transform for .NET now supports Azure DevOps repos alongside GitHub, GitLab, and BitBucket. You can connect your Azure DevOps repositories directly to AWS Transform to discover, assess, transform hundreds of repositories in parallel, and run unit tests. AWS Transform automatically resolves dependencies from Azure Artifacts NuGet packages during transformation, helping you modernize .NET Framework applications from Windows to Linux-ready cross-platform .NET.

Now, you can modernize your .NET applications while continuing to work within your familiar Azure DevOps workflows.

Azure DevOps connector feature is now available in all regions where AWS Transform is available. To get started, visit the product page and documentation.

 

​AWS Transform for .NET now supports Azure DevOps repos alongside GitHub, GitLab, and BitBucket. You can connect your Azure DevOps repositories directly to AWS Transform to discover, assess, transform hundreds of repositories in parallel, and run unit tests. AWS Transform automatically resolves dependencies from Azure Artifacts NuGet packages during transformation, helping you modernize .NET Framework applications from Windows to Linux-ready cross-platform .NET. Now, you can modernize your .NET applications while continuing to work within your familiar Azure DevOps workflows. Azure DevOps connector feature is now available in all regions where AWS Transform is available. To get started, visit the product page and documentation.  

Today, we are excited to announce the general availability of seven highly expressive Amazon Polly Generative voices in English, French, Polish and Dutch. Amazon Polly is a fully-managed service that turns text into lifelike speech, enabling developers and builders to speechify their applications for conversational AI or for speech content creation.

We are excited to share that Amazon Polly today launches one new male-sounding generative voice: Canadian French – Liam together with six new female-sounding generative voices: US English – Salli, Belgian French – Isabelle, French – Celine, Canadian French – Gabrielle, Polish – Ola, and Polish – Ewa. This launch expands the number of voices available on Polly’s Generative TTS engine to twenty-seven diverse voices.

With this release, Polly now offers six male-sounding voices (Canadian French – Liam, French – Rémi, German – Daniel, US Spanish – Pedro, Spain Spanish – Sergio, and Mexico Spanish – Andrés) that speak multiple languages while maintaining the same vocal identity as the US English voice Matthew. Having the same voice identity while speaking multiple languages natively enables customers to switch from one language to another while preserving brand identity across regions/locales. This is made possible by Amazon Polly’s GenAI-based polyglot capability, where a single voice is able to synthesize speech in multiple languages.

All generative voices are accessible in the US East (North Virginia), Europe (Frankfurt), and US West (Oregon) regions and complement the other types of voices that are already available in the same regions.

To hear how Polly voices sound, go to Amazon Polly Features. For more details on the Polly offerings and use, please read the Amazon Polly documentation and visit our pricing page.

 

​Today, we are excited to announce the general availability of seven highly expressive Amazon Polly Generative voices in English, French, Polish and Dutch. Amazon Polly is a fully-managed service that turns text into lifelike speech, enabling developers and builders to speechify their applications for conversational AI or for speech content creation. We are excited to share that Amazon Polly today launches one new male-sounding generative voice: Canadian French – Liam together with six new female-sounding generative voices: US English – Salli, Belgian French – Isabelle, French – Celine, Canadian French – Gabrielle, Polish – Ola, and Polish – Ewa. This launch expands the number of voices available on Polly’s Generative TTS engine to twenty-seven diverse voices. With this release, Polly now offers six male-sounding voices (Canadian French – Liam, French – Rémi, German – Daniel, US Spanish – Pedro, Spain Spanish – Sergio, and Mexico Spanish – Andrés) that speak multiple languages while maintaining the same vocal identity as the US English voice Matthew. Having the same voice identity while speaking multiple languages natively enables customers to switch from one language to another while preserving brand identity across regions/locales. This is made possible by Amazon Polly’s GenAI-based polyglot capability, where a single voice is able to synthesize speech in multiple languages. All generative voices are accessible in the US East (North Virginia), Europe (Frankfurt), and US West (Oregon) regions and complement the other types of voices that are already available in the same regions. To hear how Polly voices sound, go to Amazon Polly Features. For more details on the Polly offerings and use, please read the Amazon Polly documentation and visit our pricing page.  

Amazon RDS for MariaDB now supports MariaDB major version 11.8, the latest long-term maintenance release from the MariaDB community. This release supports MariaDB 11.8.3 minor version.

Amazon RDS for MariaDB 11.8 now supports the MariaDB Vector feature, allowing you to store vector embeddings in your database and use retrieval-augmented generation (RAG) when building your Artificial Intelligence (AI) applications. You can use MariaDB Vector to build generative AI capabilities into your e-commerce, media, health applications, and more to find similar items within a catalog. MariaDB 11.8 also introduces the ability to limit maximum size of temporary files and tables, allowing you to better manage your databases’ storage and prevent potential issues caused by oversized temporary objects. Learn more about these community enhancements in the MariaDB 11.8 release notes and RDS MariaDB release notes.

You can initiate a major version upgrade by manually modifying your DB cluster, by restoring a snapshot or by leveraging Amazon RDS Managed Blue/Green deployments to upgrade your databases to RDS for MariaDB 11.8. Learn more about upgrading your database instances in the Amazon RDS User Guide. Amazon RDS for MariaDB 11.8 is available in all AWS regions where RDS MariaDB is available.

Amazon RDS for MariaDB makes it straightforward to set up, operate, and scale MariaDB deployments in the cloud. Create or update a fully managed Amazon RDS for MariaDB 11.8 database in the Amazon RDS Management Console.

 

​Amazon RDS for MariaDB now supports MariaDB major version 11.8, the latest long-term maintenance release from the MariaDB community. This release supports MariaDB 11.8.3 minor version. Amazon RDS for MariaDB 11.8 now supports the MariaDB Vector feature, allowing you to store vector embeddings in your database and use retrieval-augmented generation (RAG) when building your Artificial Intelligence (AI) applications. You can use MariaDB Vector to build generative AI capabilities into your e-commerce, media, health applications, and more to find similar items within a catalog. MariaDB 11.8 also introduces the ability to limit maximum size of temporary files and tables, allowing you to better manage your databases’ storage and prevent potential issues caused by oversized temporary objects. Learn more about these community enhancements in the MariaDB 11.8 release notes and RDS MariaDB release notes. You can initiate a major version upgrade by manually modifying your DB cluster, by restoring a snapshot or by leveraging Amazon RDS Managed Blue/Green deployments to upgrade your databases to RDS for MariaDB 11.8. Learn more about upgrading your database instances in the Amazon RDS User Guide. Amazon RDS for MariaDB 11.8 is available in all AWS regions where RDS MariaDB is available. Amazon RDS for MariaDB makes it straightforward to set up, operate, and scale MariaDB deployments in the cloud. Create or update a fully managed Amazon RDS for MariaDB 11.8 database in the Amazon RDS Management Console.  

Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G6 instances powered by NVIDIA L4 GPUs are now available in Middle East (UAE). G6 instances can be used for a wide range of graphics-intensive and machine learning use cases.

Customers can use G6 instances for deploying ML models for natural language processing, language translation, video and image analysis, speech recognition, and personalization as well as graphics workloads, such as creating and rendering real-time, cinematic-quality graphics and game streaming. G6 instances feature up to 8 NVIDIA L4 Tensor Core GPUs with 24 GB of memory per GPU and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 100 Gbps of network bandwidth, and up to 7.52 TB of local NVMe SSD storage.

Amazon EC2 G6 instances are already available today in the AWS US East (N. Virginia and Ohio) , US West (Oregon), Europe (Frankfurt, London, Paris, Spain, Stockholm and Zurich), Asia Pacific (Mumbai, Tokyo, Malaysia, Seoul and Sydney), South America (Sao Paulo) and Canada (Central) regions. Customers can purchase G6 instances as On-Demand Instances, Reserved 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 the G6 instance page.

 

​Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G6 instances powered by NVIDIA L4 GPUs are now available in Middle East (UAE). G6 instances can be used for a wide range of graphics-intensive and machine learning use cases.
Customers can use G6 instances for deploying ML models for natural language processing, language translation, video and image analysis, speech recognition, and personalization as well as graphics workloads, such as creating and rendering real-time, cinematic-quality graphics and game streaming. G6 instances feature up to 8 NVIDIA L4 Tensor Core GPUs with 24 GB of memory per GPU and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 100 Gbps of network bandwidth, and up to 7.52 TB of local NVMe SSD storage.
Amazon EC2 G6 instances are already available today in the AWS US East (N. Virginia and Ohio) , US West (Oregon), Europe (Frankfurt, London, Paris, Spain, Stockholm and Zurich), Asia Pacific (Mumbai, Tokyo, Malaysia, Seoul and Sydney), South America (Sao Paulo) and Canada (Central) regions. Customers can purchase G6 instances as On-Demand Instances, Reserved 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 the G6 instance page.  

Amazon Bedrock Data Automation (BDA) now supports five additional languages for document workloads in addition to English: Portuguese, French, Italian, Spanish, and German. With this launch, customers can process documents in these new languages and create blueprints prompts and instructions in these new languages when using BDA Custom Output for documents. Customers using BDA Standard Output will now receive document summaries and figure captions in the detected language of the document.

BDA is a feature of Amazon Bedrock that enables developers to automate the generation of valuable insights from unstructured multimodal content such as documents, images, video, and audio to build GenAI-based applications. By leveraging BDA, developers can reduce development time and effort, making it easier to build intelligent document processing, media analysis, and other multimodal data-centric automation solutions. BDA can be used as a standalone feature or as a parser in Amazon Knowledge Bases RAG workflows.

BDA Documents support for these 5 new languages is now generally available in Europe (Frankfurt), Europe (London), Europe (Ireland), Asia Pacific (Mumbai) and Asia Pacific (Sydney), US West (Oregon), US East (N. Virginia) and AWS GovCloud (US-West) Regions. To learn more, visit the Bedrock Data Automation product page and the Amazon Bedrock Pricing page.

 

​Amazon Bedrock Data Automation (BDA) now supports five additional languages for document workloads in addition to English: Portuguese, French, Italian, Spanish, and German. With this launch, customers can process documents in these new languages and create blueprints prompts and instructions in these new languages when using BDA Custom Output for documents. Customers using BDA Standard Output will now receive document summaries and figure captions in the detected language of the document. BDA is a feature of Amazon Bedrock that enables developers to automate the generation of valuable insights from unstructured multimodal content such as documents, images, video, and audio to build GenAI-based applications. By leveraging BDA, developers can reduce development time and effort, making it easier to build intelligent document processing, media analysis, and other multimodal data-centric automation solutions. BDA can be used as a standalone feature or as a parser in Amazon Knowledge Bases RAG workflows. BDA Documents support for these 5 new languages is now generally available in Europe (Frankfurt), Europe (London), Europe (Ireland), Asia Pacific (Mumbai) and Asia Pacific (Sydney), US West (Oregon), US East (N. Virginia) and AWS GovCloud (US-West) Regions. To learn more, visit the Bedrock Data Automation product page and the Amazon Bedrock Pricing page.  

AWS B2B Data Interchange now supports custom validation rules for X12 EDI documents, enabling you to expand and alter the validation logic of the X12 ANSI standard to align with custom agreements with your trading partners.

AWS B2B Data Interchange automates validation, transformation, and generation of Electronic Data Interchange (EDI) documents such as ANSI X12 documents to and from JSON and XML data formats. With this launch, you can expand and alter the validation logic of the X12 ANSI standard. You can choose if certain elements need to be present and what length and values of elements are allowed for documents to pass the validation. AWS B2B Data Interchange will automatically validate X12 EDI documents against a combination of the X12 standard and your custom rules. Validation status will be communicated in a generated functional acknowledgment X12 EDI document (997/999) and in an emitted EventBridge event. In case of validation failure, AWS B2B Data Interchange will also generate a human-readable plain language explanation of validation errors and store it alongside your output files. You can use these events and data to trigger and streamline your validation remediation workflow, reducing the time and costs to process your X12 documents.

Support for custom validation rules for X12 EDI documents is available in all AWS Regions where the AWS B2B Data Interchange service is available. To get started with building event-driven EDI workloads on AWS B2B Data Interchange, take the self-paced workshop or refer to the AWS B2B Data Interchange user guide.

 

​AWS B2B Data Interchange now supports custom validation rules for X12 EDI documents, enabling you to expand and alter the validation logic of the X12 ANSI standard to align with custom agreements with your trading partners. AWS B2B Data Interchange automates validation, transformation, and generation of Electronic Data Interchange (EDI) documents such as ANSI X12 documents to and from JSON and XML data formats. With this launch, you can expand and alter the validation logic of the X12 ANSI standard. You can choose if certain elements need to be present and what length and values of elements are allowed for documents to pass the validation. AWS B2B Data Interchange will automatically validate X12 EDI documents against a combination of the X12 standard and your custom rules. Validation status will be communicated in a generated functional acknowledgment X12 EDI document (997/999) and in an emitted EventBridge event. In case of validation failure, AWS B2B Data Interchange will also generate a human-readable plain language explanation of validation errors and store it alongside your output files. You can use these events and data to trigger and streamline your validation remediation workflow, reducing the time and costs to process your X12 documents. Support for custom validation rules for X12 EDI documents is available in all AWS Regions where the AWS B2B Data Interchange service is available. To get started with building event-driven EDI workloads on AWS B2B Data Interchange, take the self-paced workshop or refer to the AWS B2B Data Interchange user guide.  

Amazon Bedrock Data Automation (BDA) is now generally available in the AWS GovCloud (US-West) Region.

BDA is a feature of Amazon Bedrock that enables developers to automate the generation of valuable insights from unstructured multimodal content such as documents, images, video, and audio to build GenAI-based applications. By leveraging BDA, developers can reduce development time and effort, making it easier to build intelligent document processing, media analysis, and other multimodal data-centric automation solutions. BDA can be used as a standalone feature or as a parser in Amazon Knowledge Bases RAG workflows.

With this launch, BDA is now available in a total of 8 AWS Regions: Europe (Frankfurt), Europe (London), Europe (Ireland), Asia Pacific (Mumbai) and Asia Pacific (Sydney), US West (Oregon), US East (N. Virginia) and AWS GovCloud (US-West) Regions. To learn more, visit the Bedrock Data Automation product page and the Amazon Bedrock Pricing page.

 

​Amazon Bedrock Data Automation (BDA) is now generally available in the AWS GovCloud (US-West) Region. BDA is a feature of Amazon Bedrock that enables developers to automate the generation of valuable insights from unstructured multimodal content such as documents, images, video, and audio to build GenAI-based applications. By leveraging BDA, developers can reduce development time and effort, making it easier to build intelligent document processing, media analysis, and other multimodal data-centric automation solutions. BDA can be used as a standalone feature or as a parser in Amazon Knowledge Bases RAG workflows. With this launch, BDA is now available in a total of 8 AWS Regions: Europe (Frankfurt), Europe (London), Europe (Ireland), Asia Pacific (Mumbai) and Asia Pacific (Sydney), US West (Oregon), US East (N. Virginia) and AWS GovCloud (US-West) Regions. To learn more, visit the Bedrock Data Automation product page and the Amazon Bedrock Pricing page.