Scaling data annotation using vision-language models to power physical AI systems
Critical labor shortages are constraining growth across manufacturing, logistics, construction, and agriculture. […]
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Accelerating AI model production at Hexagon with Amazon SageMaker HyperPod
This blog post was co-authored with Johannes Maunz, Tobias Bösch Borgards, Aleksander […]
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How Sonrai uses Amazon SageMaker AI to accelerate precision medicine trials
In precision medicine, researchers developing diagnostic tests for early disease detection face […]
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Agentic AI with multi-model framework using Hugging Face smolagents on AWS
This post is cowritten by Jeff Boudier, Simon Pagezy, and Florent Gbelidji from Hugging […]
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Amazon SageMaker AI in 2025, a year in review part 2: Improved observability and enhanced features for SageMaker AI model customization and hosting
In 2025, Amazon SageMaker AI made several improvements designed to help you […]
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Amazon SageMaker AI in 2025, a year in review part 1: Flexible Training Plans and improvements to price performance for inference workloads
In 2025, Amazon SageMaker AI saw dramatic improvements to core infrastructure offerings […]
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Integrate external tools with Amazon Quick Agents using Model Context Protocol (MCP)
Amazon Quick supports Model Context Protocol (MCP) integrations for action execution, data access, […]
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Build AI workflows on Amazon EKS with Union.ai and Flyte
As artificial intelligence and machine learning (AI/ML) workflows grow in scale and […]
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Amazon Quick Suite now supports key pair authentication to Snowflake data source
Modern enterprises face significant challenges connecting business intelligence platforms to cloud data […]
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Build unified intelligence with Amazon Bedrock AgentCore
Building cohesive and unified customer intelligence across your organization starts with reducing […]
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