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105 sources in the directory · Latest publication in this list: 2026-05-28 19:45 UTC.

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2026-05-28

markdown-svg-renderer

A slightly customized Markdown rendering tool with special treatment for fenced code SVG blocks - it both renders the image and provides a tab for switching to the code view. You can paste in Markdown or give it a URL to a CORS-enabled Markdown file or Gist.

Simon Willison's WeblogToolsIn-site articlemarkdown-svg-renderer
How enterprise leaders are scaling AI agents across their organization

Enterprise leaders share five practices for scaling AI agents responsibly, including unified governance, complex workflow management, dedicated sandboxes, early wins, and workforce upskilling.

Databricks BlogAgents / PolicyIn-site articleHow enterprise leaders are scaling AI agents across their organization
Unity Catalog and the next era of Apache Iceberg™

Databricks positions Unity Catalog as the most comprehensive, interoperable, and production-ready Apache Iceberg catalog, with Managed Iceberg, Iceberg v3, and Foreign Iceberg now GA. Five key capabilities: open APIs, catalog federation, cross-engine access control, zero-copy secure sharing, and AI-driven optimization. Future Iceberg v4 and Delta 5.0 will converge on unified metadata structure.

Databricks BlogAgents / PolicyIn-site articleUnity Catalog and the next era of Apache Iceberg™
Build a test suite that grows with your agent with dataset management in Amazon Bedrock AgentCore

Agent evaluation is most powerful when combining fast-moving online signals with stable offline baselines. Amazon Bedrock AgentCore's dataset management provides versioned test fixtures, enabling consistent measurement and ground truth verification.

AWS Machine Learning BlogAgents / ChipsIn-site articleBuild a test suite that grows with your agent with dataset management in Amazon Bedrock AgentCore
Claude Opus 4.8 is now available on AWS

Anthropic's most advanced Opus model, Claude Opus 4.8, is now available on Amazon Bedrock and the Claude Platform on AWS. It delivers improvements in coding, agentic tasks, and professional work with greater consistency and autonomy for long-running production workflows.

AWS Machine Learning BlogModels / Agents / ResearchIn-site articleClaude Opus 4.8 is now available on AWS
Automate AML alert triage with Amazon Quick and Snowflake Cortex AI

This post demonstrates that integration in action by automating one of the most labor-intensive workflows in financial services: anti-money laundering (AML) alert triage. You will build a triage workflow using Amazon Quick Flows and Snowflake Cortex, connected through the Amazon Quick Model Context Protocol (MCP) integration. In our testing environment, automated workflows built using Amazon Quick reduced alert investigation time from 30-90 minutes to under 5 minutes. Actual results may vary based on alert complexity and data volume.

AWS Machine Learning BlogAgents / PolicyIn-site articleAutomate AML alert triage with Amazon Quick and Snowflake Cortex AI