AWS Blog

Anthropic’s Claude 3.7 Sonnet hybrid reasoning model is now available in Amazon Bedrock

Anthropic’s Claude 3.7 Sonnet hybrid reasoning model is now available in Amazon Bedrock

Claude 3.7 Sonnet hybrid reasoning model is Anthropic’s most intelligent model to date excelling at coding and powering AI agents. It is the first Claude model to offer extended thinking—the ability to solve complex problems with careful, step-by-step reasoning.

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Get insights from multimodal content with Amazon Bedrock Data Automation, now generally available

Get insights from multimodal content with Amazon Bedrock Data Automation, now generally available

Amazon Bedrock Data Automation streamlines the extraction of valuable insights from unstructured multimodal content (documents, images, audio, and videos) by providing a simplified way to build intelligent document processing and media analysis solutions, while offering both standard and custom output configurations through blueprints.

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Generate Code Documentation Using Amazon Q Developer

Generate Code Documentation Using Amazon Q Developer

Amazon Q Developer is a generative AI-powered assistant that automates software documentation by analyzing codebases, creating and updating README files, generating visual diagrams, and providing detailed technical documentation, helping development teams maintain current documentation without sacrificing development velocity.

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  • Ola Hallengren’s SQL Server Maintenance Solution in AWS
    Phil Ekins, Aravind Hariharaputran, 03/09/2025
    In this blog, we will demonstrate using Ola Hallengren’s SQL Server Maintenance Solution with native backups to Amazon S3 and support for Amazon RDS for SQL Server. A common task for customers is to configure database backups and maintenance jobs for their SQL Servers. Ola Hallengren’s SQL Server Maintenance Solution scripts can simplify this task [...]
  • Accelerating Product Research and Design with Generative AI
    Prateek Agrawal, Harvinder Bajaj, Soumen Saha, Mrunal Daftari, Faisal Oria, 03/08/2025
    Discover how Capgemini and AWS collaborated to create TELme, a groundbreaking generative AI solution that revolutionizes product research and design in manufacturing. By enabling engineers to efficiently search and summarize vast repositories of technical content using natural language queries, TELme significantly reduces design lifecycle timelines and accelerates time-to-market for new products.
  • Long-term backup options for Amazon RDS and Amazon Aurora
    Babaiah Valluru, Shailesh Kumar Mishra, 03/07/2025
    In this post, we show you several long-term data backup strategies and how to effectively implement them in the AWS environment, with a focus on Amazon Relational Database Service (Amazon RDS) and Amazon Aurora.
  • How to use AWS WAF Bot Control for Targeted Bots signals and mitigate evasive bots with adaptive user experience
    Kartik Bheemisetty, David MacDonald, 03/07/2025
    Introduction The AWS WAF Bot Control rule group includes rules for detecting and managing bot threats. These threats range from easily identified common bots through to coordinated targeted bots that evade detection by operating across multiple hosts. Like any other security controls, Amazon Web Services (AWS) WAF Bot Control for Targeted Bots rules can also [...]
  • Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion
    Sundeep Sardana, Malolan Raman, Joseph Lam, Maitri Shah, Vaibhav Singh, Alex Oppenheim, Ryan Doty, Tarik Makota, 03/07/2025
    This post is co-authored with Sundeep Sardana, Malolan Raman, Joseph Lam, Maitri Shah and Vaibhav Singh from Verisk. Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks. [...]
  • Announcing general availability of Amazon Bedrock Knowledge Bases GraphRAG with Amazon Neptune Analytics
    Denise Gosnell, Harsh Singh, Melissa Kwok, Mani Khanuja, Ozan Eken, 03/07/2025
    Today, Amazon Web Services (AWS) announced the general availability of Amazon Bedrock Knowledge Bases GraphRAG (GraphRAG), a capability in Amazon Bedrock Knowledge Bases that enhances Retrieval-Augmented Generation (RAG) with graph data in Amazon Neptune Analytics. In this post, we discuss the benefits of GraphRAG and how to get started with it in Amazon Bedrock Knowledge Bases.
  • Self-hosting source code of the Landing Zone Accelerator on AWS
    Josh Franklin, 03/07/2025
    Some customers using Amazon Web Services (AWS) prohibit users from installing software from public sources. Recently, the Landing Zone Accelerator on AWS (LZA) solution added optional capabilities to support this use case. Instead of installing directly from the public LZA GitHub repository, which is the default installation path for most customers, LZA can be self-hosted from your own Amazon Simple Storage Service (Amazon S3) bucket. This post shows the technical steps necessary to install LZA using Amazon S3.
  • How to run CUDA-Q programs on Amazon Braket notebook instances
    Sebastian Stern, Tyler Takeshita, 03/07/2025
    Amazon Braket provides access to quantum computing resources and tools to develop quantum algorithms, test them on quantum circuit simulators, and run them on different quantum hardware technologies. Amazon Braket notebooks provide customers with a fully managed development environment that comes pre-installed with a range of and quantum development frameworks, including the Amazon Braket SDK [...]
  • Power utility monitoring and maintenance with AWS IoT and SAP integration
    Ganesh Suryanarayanan, Dr. Bin Qiu, Sachin Bhatt, 03/07/2025
    The rise in electricity consumption, particularly due to electric vehicles (EVs), presents several challenges for power utilities, such as significant costs and long planning timelines of infrastructure upgrades, grid stability issues caused by fluctuations in demand due to EV charging, and the intermittent nature of renewables. In the first post (Improved utility asset management and maintenance [...]
  • Training a call center fraud detection model for IVR calls with Amazon SageMaker Canvas
    Pablo Forero, Shirin Bhambhani, Vinita Shadangi, 03/07/2025
    This blog post will show you how to use the power of ML to build a fraud-detection model using Amazon SageMaker Canvas, a no-code/low-code ML service that business analysts and domain experts can use to build, train, and deploy ML models without requiring extensive ML expertise.
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