Favorite This blog post was co-authored with Johannes Maunz, Tobias Bösch Borgards, Aleksander Cisłak, and Bartłomiej Gralewicz from Hexagon. Hexagon is the global leader in measurement technologies and provides the confidence that vital industries rely on to build, navigate, and innovate. From microns to Mars, Hexagon’s solutions drive productivity, quality,
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Shared by AWS Machine Learning February 24, 2026
Favorite In precision medicine, researchers developing diagnostic tests for early disease detection face a critical challenge: datasets containing thousands of potential biomarkers but only hundreds of patient samples. This curse of dimensionality can determine the success or failure of breakthrough discoveries. Modern bioinformatics use multiple omic modalities—genomics, lipidomics, proteomics, and
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Shared by AWS Machine Learning February 24, 2026
Favorite Critical labor shortages are constraining growth across manufacturing, logistics, construction, and agriculture. The problem is particularly acute in construction: nearly 500,000 positions remain unfilled in the United States, with 40% of the current workforce approaching retirement within the decade. These workforce limitations result in delayed projects, escalating costs, and
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Shared by AWS Machine Learning February 24, 2026
Favorite Amazon Quick supports Model Context Protocol (MCP) integrations for action execution, data access, and AI agent integration. You can expose your application’s capabilities as MCP tools by hosting your own MCP server and configuring an MCP integration in Amazon Quick. Amazon Quick acts as an MCP client and connects to
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Shared by AWS Machine Learning February 21, 2026
Favorite In 2025, Amazon SageMaker AI made several improvements designed to help you train, tune, and host generative AI workloads. In Part 1 of this series, we discussed Flexible Training Plans and price performance improvements made to inference components. In this post, we discuss enhancements made to observability, model customization,
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Shared by AWS Machine Learning February 21, 2026
Favorite In 2025, Amazon SageMaker AI saw dramatic improvements to core infrastructure offerings along four dimensions: capacity, price performance, observability, and usability. In this series of posts, we discuss these various improvements and their benefits. In Part 1, we discuss capacity improvements with the launch of Flexible Training Plans. We
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Shared by AWS Machine Learning February 21, 2026
Favorite Modern enterprises face significant challenges connecting business intelligence platforms to cloud data warehouses while maintaining automation. Password-based authentication introduces security vulnerabilities, operational friction, and compliance gaps—especially critical as Snowflake is deprecating username password. Amazon Quick Sight (a capability of Amazon Quick Suite) now supports key pair authentication for Snowflake
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Shared by AWS Machine Learning February 20, 2026
Favorite As artificial intelligence and machine learning (AI/ML) workflows grow in scale and complexity, it becomes harder for practitioners to organize and deploy their models. AI projects often struggle to move from pilot to production. AI projects often fail not because models are bad, but because infrastructure and processes are
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Shared by AWS Machine Learning February 20, 2026
Favorite The generative AI industry has undergone a significant transformation from using large language model (LLM)-driven applications to agentic AI systems, marking a fundamental shift in how AI capabilities are architected and deployed. While early generative AI applications primarily relied on LLMs to directly generate text and respond to prompts,
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Shared by AWS Machine Learning February 19, 2026
Favorite Building cohesive and unified customer intelligence across your organization starts with reducing the friction your sales representatives face when toggling between Salesforce, support tickets, and Amazon Redshift. A sales representative preparing for a customer meeting might spend hours clicking through several different dashboards—product recommendations, engagement metrics, revenue analytics, etc.
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Shared by AWS Machine Learning February 19, 2026
Shared by AWS Machine Learning February 24, 2026
