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How skills and agents work in AWS Quick

Favorite If you use AI agents, you’ve probably explained the same task more than once. You might describe how to build your weekly status update, write release notes, manage a project, or create tickets. These are all repeatable tasks that you can encode using AWS Quick through agents and skills.

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Shared by AWS Machine Learning November 10, 2026

Amazon Bedrock tokenomics data lake

Favorite If you need an observability data lake for your Amazon Bedrock workloads, you’re not alone. When you’re running thousands of model invocations a day across multiple accounts, after a request is sent you might be wondering, what happened? You can see the aggregate bill, but you can’t see what

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Shared by AWS Machine Learning November 10, 2026

Autonomous treasury agents: How Trovata built an AI-native solution on Amazon Bedrock and AgentCore

Favorite Corporate treasury teams face a persistent challenge: fragmented banking data scattered across dozens of bank portals, manual reporting trapped in spreadsheets, and legacy Treasury Management Systems (TMS) that can’t scale for modern enterprise needs. For treasury teams these manual processes create delays, errors, and an inability to make real-time

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Shared by AWS Machine Learning November 10, 2026

Google Cloud launches Gemini for healthcare.

Favorite Google Cloud launches Gemini for healthcare to unify clinical data and automate workflows. Reduce administrative burnout. See how it works. View Original Source (blog.google/technology/ai/) Here.

How CrossnoKaye grounds physical AI with Amazon Bedrock AgentCore

Favorite Industrial operations present AI challenges that don’t show up in typical enterprise software. In most facilities, plant data and control logic are spread across separate systems from different vendors: programmable logic controllers (PLCs) and distributed control systems (DCS) run the equipment logic, historians record time-series tags under site-specific naming

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Shared by AWS Machine Learning November 9, 2026