Use Amazon SageMaker Unified Studio to build complex AI workflows using Amazon Bedrock Flows

Favorite Organizations face the challenge to manage data, multiple artificial intelligence and machine learning (AI/ML) tools, and workflows across different environments, impacting productivity and governance. A unified development environment consolidates data processing, model development, and AI application deployment into a single system. This integration streamlines workflows, enhances collaboration, and accelerates

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Shared by AWS Machine Learning July 2, 2025

LinuxFr.org joins the OSI: strengthening the francophone community

Favorite OSI keeps growing: LinuxFr.org, the largest French-speaking community of Linux users, has officially joined the Open Source Initiative (OSI) as an Affiliate organization. This marks an important step in deepening our engagement with francophone Open Source communities and highlighting the grassroots efforts that have long supported open collaboration around

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Shared by voicesofopensource July 2, 2025

Build and deploy AI inference workflows with new enhancements to the Amazon SageMaker Python SDK

Favorite Amazon SageMaker Inference has been a popular tool for deploying advanced machine learning (ML) and generative AI models at scale. As AI applications become increasingly complex, customers want to deploy multiple models in a coordinated group that collectively process inference requests for an application. In addition, with the evolution

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Shared by AWS Machine Learning July 1, 2025

Revolutionizing drug data analysis using Amazon Bedrock multimodal RAG capabilities

Favorite In the pharmaceutical industry, biotechnology and healthcare companies face an unprecedented challenge for efficiently managing and analyzing vast amounts of drug-related data from diverse sources. Traditional data analysis methods prove inadequate for processing complex medical documentation that includes a mix of text, images, graphs, and tables. Amazon Bedrock offers

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Shared by AWS Machine Learning July 1, 2025

Choosing the right approach for generative AI-powered structured data retrieval

Favorite Organizations want direct answers to their business questions without the complexity of writing SQL queries or navigating through business intelligence (BI) dashboards to extract data from structured data stores. Examples of structured data include tables, databases, and data warehouses that conform to a predefined schema. Large language model (LLM)-powered

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Shared by AWS Machine Learning July 1, 2025

Build AWS architecture diagrams using Amazon Q CLI and MCP

Favorite Creating professional AWS architecture diagrams is a fundamental task for solutions architects, developers, and technical teams. These diagrams serve as essential communication tools for stakeholders, documentation of compliance requirements, and blueprints for implementation teams. However, traditional diagramming approaches present several challenges: Time-consuming process – Creating detailed architecture diagrams manually

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Shared by AWS Machine Learning June 30, 2025

Context extraction from image files in Amazon Q Business using LLMs

Favorite To effectively convey complex information, organizations increasingly rely on visual documentation through diagrams, charts, and technical illustrations. Although text documents are well-integrated into modern knowledge management systems, rich information contained in diagrams, charts, technical schematics, and visual documentation often remains inaccessible to search and AI assistants. This creates significant

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Shared by AWS Machine Learning June 30, 2025