Favorite Amazon Quick Sight, the business intelligence capability of Amazon Quick, delivers a unified BI experience, from modern interactive dashboards and natural language querying to pixel-perfect reports, machine learning insights, and embedded analytics at scale. Amazon Quick brings together AI-powered agents for business insights, research, and automation in one integrated
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Shared by AWS Machine Learning June 11, 2026
Favorite Teams building AI agents typically evaluate them the way they evaluate any other software: by checking whether the output matches expectations. But agents that autonomously choose tools and sequence operations across multiple sources produce behavior that output-level testing cannot fully characterize. An agent might deliver a well-structured, actionable response
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Shared by AWS Machine Learning June 11, 2026
Favorite Many companies have large volumes of paper or electronic documents that contain untapped business intelligence. With the advancement of generative AI, various large language models can be used to accurately extract relevant data from these documents. This post demonstrates an intelligent document processing pipeline that consists of both on-demand
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Shared by AWS Machine Learning June 11, 2026
Favorite We’re helping build the state’s next-generation workforce and investing in energy programs. View Original Source (blog.google/technology/ai/) Here.
Favorite Managing equipment repairs for heavy farm machinery often requires technicians to diagnose issues without the right parts, leading to multiple site visits, extended downtime, and substantial financial losses, especially during harvest season. In this post, you build an AI-powered equipment repair assistant using Amazon Bedrock AgentCore that helps farmers
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Shared by AWS Machine Learning June 10, 2026
Favorite As frontier AI models grow in scale and complexity, developers face a common challenge across every hardware platform: how do you extract the maximum performance and efficiency from the silicon their models run on. Whether delivering real-time experiences for world models, supporting deeper reasoning in agentic workflows, or reducing
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Shared by AWS Machine Learning June 10, 2026
Favorite Members Newsletter – June 2026 Dear OSI community, “What do you think the first three months on the job will look like?” If you had asked me this question in April, I might have listed a hundred observations about community meetings, operations, fundraising, messaging, or strategy. Nowhere in that
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Shared by voicesofopensource June 10, 2026
Favorite Incident triage is time-sensitive because site reliability engineers (SREs) and support engineers often need to collect evidence, assess user impact, and create follow-up work across separate tools. With Amazon Quick and New Relic, you can coordinate those investigation and handoff steps in a single conversational workflow. This post shows
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Shared by AWS Machine Learning June 9, 2026
Favorite Turning multimodal first notice of loss (FNOL) evidence into tagged, decision-ready intake so adjusters start with context instead of raw artifacts. Manual FNOL processing consumes significant expert time on repetitive tasks because unstructured, multimodal evidence must be interpreted through portals designed for human interaction. Photos captured in the field,
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Shared by AWS Machine Learning June 9, 2026
Favorite Physical AI is moving from research into production. Robots are increasingly trained in high-fidelity simulation before being deployed to factories, warehouses, and logistics centers, because training in the real world is slow, expensive, and often unsafe, while GPU-accelerated simulation can compress months of learning into hours. This shifts the
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Shared by AWS Machine Learning June 9, 2026
Shared by AWS Machine Learning June 11, 2026
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