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Implement a backup strategy for Amazon Quick Sight BI assets

Favorite Amazon Quick Sight is a core feature within Amazon Quick — an agentic, AI-powered digital workspace designed to maximize end-user productivity— that provides AI-powered BI capabilities through natural language queries, interactive dashboards, and embedded analytics from trusted enterprise data sources. Amazon Quick Sight assets such as dashboards, analyses, datasets, and data sources

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Shared by AWS Machine Learning June 29, 2026

Ask an AI expert: What exactly is the full stack?

Favorite A Google expert explains what it means to take a full-stack approach to AI and why it’s been the foundation of our AI work for so long. View Original Source (blog.google/technology/ai/) Here.

How Cara pioneers domain-specific AI for enterprise insurance brokerages with AWS

Favorite Insurance is an $8 trillion global industry burdened by manual workflows and a growing talent shortage. Cara delivers an AI-native solution on AWS that automates back-office processes for insurance brokerages. Insurance agents routinely spend hours on repetitive tasks. These include completing applications, analyzing policy coverages, re-keying data across systems,

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Shared by AWS Machine Learning June 26, 2026

Build self-service AWS Health analytics to find actionable health insights with AI agents powered by Amazon Bedrock

Favorite On a typical Monday morning, an enterprise operations team receives multiple AWS Health notifications about Amazon Linux 2 end-of-life, RDS version deprecations, and EC2 instance retirements across 50+ accounts. Without self-service analytics, the team has no way to quickly identify the events that affect production systems, the events that

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Shared by AWS Machine Learning June 25, 2026

Implementing super resolution by deploying SeedVR2 on Amazon SageMaker AI

Favorite As display technologies advance to higher resolutions, many organizations face a common challenge: their existing video libraries contain lower-resolution content that appears pixelated or blurry on modern high-definition displays. Traditional video upscaling approaches often struggle with computational limits, inconsistent quality, and scalability issues when processing large video collections. Many

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Shared by AWS Machine Learning June 25, 2026