AWS Blog

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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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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  • CaptionHub Live on AWS expands the reach of live video with subtitling
    John Barber, 03/05/2025
    Live event subtitling is a challenging task, especially when it involves translating into multiple languages simultaneously. CaptionHub Live provides a high degree of accuracy while supporting near real-time latency. Subtitles are accurately synchronized to the audio without affecting the broadcast stream. Traditional solutions are often expensive and complicated, deliver sub-optimal results, and affect the broadcast [...]
  • Innovating at speed: BMW’s generative AI solution for cloud incident analysis
    Johann Wildgruber, Dr. Jens Kohl, Thilo Bindel, Luisa-Sophie Gloger, Aishwarya Lakshmi Krishnan, Huong Vu, Kim Robins, Otto Kruse, Satyam Saxena, Tanrajbir Takher, 03/05/2025
    In this post, we explain how BMW uses generative AI to speed up the root cause analysis of incidents in complex and distributed systems in the cloud such as BMW’s Connected Vehicle backend serving 23 million vehicles. Read on to learn how the solution, collaboratively pioneered by AWS and BMW, uses Amazon Bedrock Agents and Amazon CloudWatch logs and metrics to find root causes quicker. This post is intended for cloud solution architects and developers interested in speeding up their incident workflows.
  • Time series forecasting with LLM-based foundation models and scalable AIOps on AWS
    Nick Biso, Alston Chan, Maria Masood, 03/05/2025
    In this blog post, we will guide you through the process of integrating Chronos into Amazon SageMaker Pipeline using a synthetic dataset that simulates a sales forecasting scenario, unlocking accurate and efficient predictions with minimal data.
  • Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval
    Samantha Stuart, Ivan Cui, Philippe Duplessis-Guindon, Rahul Jani, 03/05/2025
    In this post, we discuss best practices for applying LLMs to generate ground truth for evaluating question-answering assistants with FMEval on an enterprise scale. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify, and provides standardized implementations of metrics to assess quality and responsibility. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.
  • Five Critical Technology Trends for Retailers in 2025
    David Dorf, 03/05/2025
    Weaving through the bustling vendor booths at NRF’s Big Show, I couldn’t help but notice several recurring themes—patterns that promise to reshape our industry’s landscape in the months and years ahead. While the topics weren’t necessarily new, the approaches to addressing common use cases were. I found myself leaning into certain booths to investigate further [...]
  • Modify Amazon EBS volumes on Kubernetes with Volume Attributes Classes
    pmm, 03/05/2025
    This post was jointly authored by Kevin Liu (Senior PMT), Jens-Uwe Walther (Senior STAM-Containers), and Drew Sirenko (Software Dev Engineer). Introduction In this post, we explore how to modify Amazon Elastic Block Store (Amazon EBS) volumes on Kubernetes without application downtime. Learn how to use the VolumeAttributesClass API alongside the Amazon EBS Container Storage Interface [...]
  • AWS completes the annual Dubai Electronic Security Centre certification audit to operate as a Tier 1 cloud service provider in the Emirate of Dubai
    Vishal Pabari, 03/05/2025
    We’re excited to announce that Amazon Web Services (AWS) has completed the annual Dubai Electronic Security Centre (DESC) certification audit to operate as a Tier 1 Cloud Service Provider (CSP) for the AWS Middle East (UAE) Region. This alignment with DESC requirements demonstrates our continued commitment to adhere to the heightened expectations for CSPs. Government [...]
  • Build a real-world asset tokenization solution on AWS with Fireblocks
    Steven Bacci, Adam Hart, Forrest Colyer, Francois Schonken, Karin Susan, Mar Anthony Go, 03/05/2025
    Explore a reference architecture for real-world asset tokenization which integrates AWS services and Fireblocks’ tokenization SaaS platform with existing financial services infrastructure. By using innovative and novel technologies, such as distributed ledger technology combined with well-architected, secure and resilient cloud architecture patterns, this approach not only demonstrates the feasibility of asset tokenization but also highlights its potential to enhance efficiency, transparency, and accessibility in today’s digital economy. As businesses continue to explore the possibilities of blockchain, this architecture serves as a solid foundation for more complex and scalable tokenization solutions in the future.
  • Cross-account data collaboration with Amazon DataZone and AWS analytical tools
    Arun Pradeep Selvaraj, Piyush Mattoo, Mani Yamaraja, 03/05/2025
    In this post, we will cover how you can use Amazon DataZone to facilitate data collaboration between AWS accounts.
  • Test and integrate ground segment with AWS Ground Station digital twin
    Oleg Grytsynevych, Richard Burrows, 03/05/2025
    Amazon Web Services (AWS) customers building software-defined ground segment solutions with the AWS Ground Station now have more confidence in their solution: they can integrate their DevOps practices with AWS Ground Station’s digital twin feature, which became generally available in August. The digital twin is useful for both aspiring and existing AWS Ground Station customers to achieve faster outcomes without applying for satellite licensing and more cost-effectively than scheduling a production satellite contact. Read this post to learn more.
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