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Build an AI-powered product tagging system with Amazon SageMaker serverless model customization

Favorite Retail catalogs rarely arrive as clean, structured attributes. Product names, descriptions, and category paths come from many sources and change continuously. Search, recommendations, and catalog navigation depend on consistent tags, but manually applying those tags across thousands of stock keeping units (SKUs) is slow and difficult to keep consistent.

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Shared by AWS Machine Learning September 16, 2026

AI for Societal Impact

Favorite Explore this collection to see how experts and local leaders are using AI breakthroughs to ensure everyone can share the opportunity of AI. View Original Source (blog.google/technology/ai/) Here.

Building AI to accelerate science and improve lives

Favorite The true measure of AI is who it helps. Here’s how it’s impacting lives today. We’re focused on key areas where advanced technology can help make extraordinary progress … View Original Source (blog.google/technology/ai/) Here.

AI for everyone in every language

Favorite We’re moving beyond traditional text translation to build models that understand the world’s rich, living languages exactly as they are expressed. View Original Source (blog.google/technology/ai/) Here.

The generative AI customization spectrum: From prompt engineering to custom models on AWS

Favorite This post shows you how to pick the right generative AI customization approach for your workload without over-engineering or under-investing. AWS provides access to foundation models from Anthropic, Meta, Mistral, and Amazon through Amazon Bedrock, along with the infrastructure to build everything from chatbots and code assistants to document

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Shared by AWS Machine Learning September 15, 2026

How Ninth Wave built AI-powered open finance onboarding on Amazon Bedrock

Favorite Financial institutions participating in open finance (the network where banks share customer-authorized financial data with third-party applications through standardized APIs) face a persistent integration challenge. Every bank exposes APIs with its own field names, formatting conventions, and gaps relative to the Financial Data Exchange (FDX) standard. Validating those APIs,

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Shared by AWS Machine Learning September 15, 2026