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Amazon Q Business adds simplified setup and new web app experience

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Amazon Q Business is a fully managed, generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. Amazon Q Business now offers a simplified onboarding that helps administrators deliver a secure AI assistant quickly and a web app experience that allows end users to start using generative AI for their work immediately.

With this launch, administrators can provide end users with the web app even before indexing their internal corporate knowledge for use with Amazon Q Business. This allows end users to ask questions based on local files or world knowledge right away, providing immediate value for their jobs. As administrators index corporate data sources like wikis, documentation, and other information into Amazon Q Business, end users gain even richer insights from their generative AI assistant.

The new setup and web experience is available in all AWS Regions where Amazon Q Business is available.

You can get started with new express setup and web experience in the Amazon Q Business console . To explore Amazon Q Business, visit the Amazon Q homepage .

Amazon SES adds inline template support to send email APIs

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Amazon Simple Email Service (SES) now allows customers to provide email templates directly within the SendBulkEmail or SendEmail API request. SES will use the provided inline template content to render and assemble the email content for delivery, reducing the need to manage template resources in your SES account.

Previously, Amazon Simple Email Service (SES) customers had to pre-create and store email templates in their SES account to use them for sending emails. This added complexity and friction to the email sending process, as customers had to manage the lifecycle of these templates. The new inline template support simplifies the integration process by allowing you to include the template content directly in your send API request, without having to create and maintain separate template resources.

Support for inline templates templated sending feature is available in all AWS Regions where Amazon SES is offered.

To learn more, see the documentation for using templates to send personalized email with the Amazon SES API .

Announcing enhanced support for medical imaging data with lossy compression in AWS HealthImaging

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Today, HealthImaging launched enhancements that better handle lossy compressed medical imaging data. Some medical images, such as whole slide microscopy, ultrasound, and cardiology, utilize lossy image compression. With this feature launch, HealthImaging better supports lossy encoded data, and helps lower storage costs.

The HealthImaging import process encodes most image frames (pixel data) in the High-Throughput JPEG 2000 (HTJ2K) lossless format. With this launch, JPEG Baseline Lossy 8-bit, JPEG 2000 lossy, and High-Throughput JPEG 2000 lossy image compression will be persisted without transcoding. This means HealthImaging will store your lossy encoded data more efficiently, and thereby reducing your storage costs

With this launch, HealthImaging has also enhanced support for DICOM binary segmentation objects. Now image frames with Segmentation Type BINARY will be returned in the Explicit Little Endian (ELE) transfer syntax, as most applications expect.

AWS HealthImaging is a HIPAA-eligible service that empowers healthcare providers and their software partners to store, analyze, and share medical images at petabyte scale. With AWS HealthImaging, you can run your medical imaging applications at scale from a single, authoritative copy of each medical image in the cloud, while reducing total cost of ownership. To learn more about how HealthImaging import jobs work, see the AWS HealthImaging Developer Guide .

AWS HealthImaging is generally available in the following AWS Regions : US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Ireland).
 

Anthropic’s Claude 3.5 Haiku model now available in Amazon Bedrock

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Anthropic’s Claude 3.5 Haiku model is now available in Amazon Bedrock . Claude 3.5 Haiku is the next generation of Anthropic’s fastest model, combining rapid response times with improved reasoning capabilities, making it ideal for tasks that require both speed and intelligence. Claude 3.5 Haiku improves across every skill set and surpasses even Claude 3 Opus, the largest model in Anthropic’s previous generation, on many intelligence benchmarks—including coding.

With improved instruction following and more accurate tool use, Claude 3.5 Haiku is well suited for entry level user-facing products, specialized sub-agent tasks, and generating personalized experiences from huge volumes of data—like purchase history, pricing, or inventory data. Claude 3.5 Haiku can help efficiently process and categorize large volumes of unstructured data in finance, healthcare, research, and other industries. Claude 3.5 Haiku can also help with use cases such as fast and accurate code suggestions, highly interactive customer service chatbots that require rapid response times, e-commerce solutions, and educational platforms. The new Claude 3.5 Haiku is currently available as a text-only model with support for image inputs to follow.

The Claude 3.5 Haiku model is now available in Amazon Bedrock in the US West (Oregon) Region and in the US East (N. Virginia) Region via cross-region inference . To learn more, read the AWS News launch blog , Claude in Amazon Bedrock product page , and documentation . To get started with Claude, visit the Amazon Bedrock console .

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