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Automate user-level custom permissions for Amazon Quick

Favorite As Amazon Quick environments scale and new AI-powered capabilities expand what users can do, automating user-level custom permissions becomes critical to maintaining the principle of least privilege. To address this, with custom permissions in Quick, you can enforce fine-grained access control by toggling specific features on or off for

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Shared by AWS Machine Learning September 10, 2026

How Heurist Finance built an AI-native investment workbench on Amazon Bedrock AgentCore

Favorite Heurist uses Amazon Bedrock AgentCore to build AI-powered financial intelligence for retail investors. Its flagship product, Heurist Finance, brings several institutional-style workflows into one chat experience: it gathers market data, reads filings and news, runs deep research, builds and stress-tests portfolios, and monitors positions. Each answer reflects the user’s

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Shared by AWS Machine Learning September 10, 2026

ICYMI: What landed for AI builders in August 2026

Favorite A recap of the biggest Amazon Bedrock, AgentCore, and Strands updates from August 2026. At AWS, we have long focused on making foundational technologies accessible and providing the infrastructure needed to put them to work. Amazon Bedrock, used by more than 225,000 active customers, including over 80% of Fortune

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Shared by AWS Machine Learning September 10, 2026

Recreating a 70-year love story frame by frame

Favorite Discover how filmmakers and Google DeepMind used AI to recreate a couple’s unrecorded past in the short film “Love, Rendered.” View Original Source (blog.google/technology/ai/) Here.

How DiDi built intelligent contact center QA with Amazon Bedrock

Favorite DiDi partnered with AWS to build an intelligent contact center quality assurance (QA) system on Amazon Bedrock for its International Business Group’s Customer Experience (CX) department. The system covers Spanish and Portuguese across three business lines (ride-hailing, food delivery, and financial services) and migrates QA capabilities from an opaque

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Shared by AWS Machine Learning September 9, 2026