AWS Blog

Bioinformatics researchers running production genomic workflows face a critical challenge: ensuring computational resources are properly allocated to maximize cost efficiency without sacrificing performance. Today, we’re excited to share significant enhancements to the AWS HealthOmics Run Analyzer tool that directly address this challenge. These capabilities deliver substantial benefits to our customers, including: The ability to analyze [...]

Amazon Web Services (AWS) successfully completed an onboarding audit with no findings for ISO 9001:2015, 27001:2022, 27017:2015, 27018:2019, 27701:2019, 20000-1:2018, and 22301:2019, and Cloud Security Alliance (CSA) STAR Cloud Controls Matrix (CCM) v4.0. EY CertifyPoint auditors conducted the audit and reissued the certificates on May 26, 2025. The objective of the audit was to assess [...]

This post has been co-written by Nicolas Bidaux, Gaby Choucrallah, Damien Santé from CAST In today’s rapidly evolving cloud landscape, modernizing legacy .NET applications is a great opportunity for enterprises to transform their application portfolio. However, modernization presents challenges due to limited expertise and resource-intensive actions. AWS Transform for .NET, together with CAST Highlight, offers [...]

Today, we’re announcing support for on-demand rotation of symmetric encryption AWS Key Management Service (AWS KMS) keys with imported key material (EXTERNAL origin). This new capability enables you to rotate the cryptographic key material of these keys without changing the key identifier (key ID or Amazon Resource Name (ARN)). Rotating keys helps you meet compliance [...]

In this post, we demonstrate how to use the Open AI Whisper foundation model (FM) Whisper Large V3 Turbo, available in Amazon Bedrock Marketplace, which offers access to over 140 models through a dedicated offering, to produce near real-time transcription. These transcriptions are then processed by Amazon Bedrock for summarization and redaction of sensitive information.

In this post, we demonstrate how to use large vision models (LVMs) for semantic video search using natural language and image queries. We introduce some use case-specific methods, such as temporal frame smoothing and clustering, to enhance the video search performance. Furthermore, we demonstrate the end-to-end functionality of this approach by using both asynchronous and real-time hosting options on Amazon SageMaker AI to perform video, image, and text processing using publicly available LVMs on the Hugging Face Model Hub. Finally, we use Amazon OpenSearch Serverless with its vector engine for low-latency semantic video search.

In this post, we discuss how an enterprise with multiple accounts can access a shared Amazon SageMaker HyperPod cluster for running their heterogenous workloads. We use SageMaker HyperPod task governance to enable this feature.

This post evaluates the key options for querying data using generative AI, discusses their strengths and limitations, and demonstrates why Text-to-SQL is the best choice for deterministic, schema-specific tasks. We show how to effectively use Text-to-SQL using Amazon Nova, a foundation model (FM) available in Amazon Bedrock, to derive precise and reliable answers from your data.

At AWS re:Invent 2024, we introduced a no code zero-ETL integration between Amazon DynamoDB and Amazon SageMaker Lakehouse, simplifying how organizations handle data analytics and AI workflows. In this post, we share how to set up this zero-ETL integration from DynamoDB to your SageMaker Lakehouse environment.

On June 24, 2025, Amazon Web Services (AWS) will welcome healthcare professionals to our Dublin offices for AWS Health Data & AI Day—a full-day event focused on the European Health Data Space (EHDS) and the transformative potential of artificial intelligence (AI) in healthcare. The event will bring together healthcare leaders, technical experts, and innovators to explore how secure, standardized, and interoperable data sharing can improve healthcare delivery and patient outcomes across Europe.