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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

Agent-guided workflows to accelerate model customization in Amazon SageMaker AI

Favorite Every organization has access to the same foundation models. The real competitive advantage comes from customizing them with your proprietary data and domain expertise. But getting there is complex, even for experienced teams. It requires mastering fine-tuning techniques like Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Learning

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Shared by AWS Machine Learning May 4, 2026

AWS Transform now automates BI migration to Amazon Quick in days

Favorite Migrating to Amazon Quick doesn’t have to mean starting from scratch. Your dashboards encode hard-won domain knowledge: calculated fields your analysts perfected, layouts your executives rely on every Monday morning, security rules tuned to your org chart. You want AI-powered insights and serverless scale, but you’re staring at hundreds

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Shared by AWS Machine Learning May 1, 2026