AI news from Amazon Web Services – AWS

• Amazon
• news
• newsfeed
• artificial intelligence

View books and computing supplies on the AI industry from Amazon

Tweets by awscloud

1. How msg enhanced HR workforce transformation with Amazon Bedrock and msg.ProfileMap

   In this post, we share how msg automated data harmonization for msg.ProfileMap, using Amazon Bedrock to power its large language model (LLM)-driven data enrichment workflows, resulting in higher accuracy in HR concept matching, reduced manual workload, and improved alignment with compliance requirements under the EU AI Act and GDPR.

2. Automate advanced agentic RAG pipeline with Amazon SageMaker AI

   In this post, we walk through how to streamline your RAG development lifecycle from experimentation to automation, helping you operationalize your RAG solution for production deployments with Amazon SageMaker AI, helping your team experiment efficiently, collaborate effectively, and drive continuous improvement.

3. Unlock model insights with log probability support for Amazon Bedrock Custom Model Import

   In this post, we explore how log probabilities work with imported models in Amazon Bedrock. You will learn what log probabilities are, how to enable them in your API calls, and how to interpret the returned data. We also highlight practical applications—from detecting potential hallucinations to optimizing RAG systems and evaluating fine-tuned models—that demonstrate how these insights can...

4. Migrate from Anthropic’s Claude 3.5 Sonnet to Claude 4 Sonnet on Amazon Bedrock

   This post provides a systematic approach to migrating from Anthropic’s Claude 3.5 Sonnet to Claude 4 Sonnet on Amazon Bedrock. We examine the key model differences, highlight essential migration considerations, and deliver proven best practices to transform this necessary transition into a strategic advantage that drives measurable value for your organization.

5. Enhance video understanding with Amazon Bedrock Data Automation and open-set object detection

   In real-world video and image analysis, businesses often face the challenge of detecting objects that weren’t part of a model’s original training set. This becomes especially difficult in dynamic environments where new, unknown, or user-defined objects frequently appear. In this post, we explore how Amazon Bedrock Data Automation uses OSOD to enhance video understanding.

6. How Skello uses Amazon Bedrock to query data in a multi-tenant environment while keeping logical boundaries

   Skello is a leading human resources (HR) software as a service (SaaS) solution focusing on employee scheduling and workforce management. Catering to diverse sectors such as hospitality, retail, healthcare, construction, and industry, Skello offers features including schedule creation, time tracking, and payroll preparation. We dive deep into the challenges of implementing large language models...

7. Create a private workforce on Amazon SageMaker Ground Truth with the AWS CDK

   In this post, we present a complete solution for programmatically creating private workforces on Amazon SageMaker AI using the AWS Cloud Development Kit (AWS CDK), including the setup of a dedicated, fully configured Amazon Cognito user pool.

8. TII Falcon-H1 models now available on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart

   We are excited to announce the availability of the Technology Innovation Institute (TII)’s Falcon-H1 models on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, developers and data scientists can now use six instruction-tuned Falcon-H1 models (0.5B, 1.5B, 1.5B-Deep, 3B, 7B, and 34B) on AWS, and have access to a comprehensive suite of hybrid architecture models that...

9. Oldcastle accelerates document processing with Amazon Bedrock

   This post explores how Oldcastle partnered with AWS to transform their document processing workflow using Amazon Bedrock with Amazon Textract. We discuss how Oldcastle overcame the limitations of their previous OCR solution to automate the processing of hundreds of thousands of POD documents each month, dramatically improving accuracy while reducing manual effort.

10. How London Stock Exchange Group is detecting market abuse with their AI-powered Surveillance Guide on Amazon Bedrock

    In this post, we explore how London Stock Exchange Group (LSEG) used Amazon Bedrock and Anthropic's Claude foundation models to build an automated system that significantly improves the efficiency and accuracy of market surveillance operations.