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Intelligence-driven message defense and insights using Amazon Bedrock

Favorite Direct communication between buyers and sellers outside approved channels can result in significant revenue loss annually while severely damaging brand reputation and destroying valuable business relationships. While messaging systems are essential for modern business operations and help provide rich customer insights, they can create significant risks when parties bypass

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Shared by AWS Machine Learning May 5, 2026

Capacity-aware inference: Automatic instance fallback for SageMaker AI endpoints

Favorite As organizations scale generative AI workloads in production, securing reliable GPU compute has become one of the most persistent operational challenges. Large language models (LLMs) and multimodal architectures demand specific instance types and when that capacity isn’t available, endpoints fail before they serve a single request. Building a real-time

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Shared by AWS Machine Learning May 4, 2026

From data lake to AI-ready analytics: Introducing new data source with S3 Tables in Amazon Quick

Favorite Organizations today are increasingly looking to combine analytics and AI to accelerate insights and decision-making. Amazon Quick, a unified agentic AI-powered analytics and decision intelligence service, brings together data visualization, natural language interaction, and agent-driven automation in a single, governed experience. With this, business users can explore data, generate

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Shared by AWS Machine Learning May 4, 2026

Generate dashboards from natural language prompts in Amazon Quick

Favorite Building meaningful dashboards demands hours of manual setup, even for experienced BI professionals. Amazon Quick now generates complete multi-sheet dashboards from natural language prompts, taking you from one or more datasets to a production-ready analysis in minutes. Data analysts building recurring operations reports, program managers preparing a leadership review, or

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Shared by AWS Machine Learning May 4, 2026