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Build a unified semantic layer across datasets with multi-dataset Topics in Amazon Quick | Amazon Web Services

Amazon Quick is an AI-powered unified intelligence service that connects structured data and unstructured enterprise content so teams can explore, analyze, and act from one place. Amazon Quick Sight, the business intelligence (BI) capability within Amazon Quick, delivers interactive dashboards, natural language querying, pixel-perfect reports, machine learning (ML)-driven insights, and embedded analytics. Topics in Quick function as the semantic layer that business users can use to ask questions in natural language and get answers directly from their data.

Until now, organizations modeled their semantic layers by creating enriched datasets and associating them one-to-one with topics. Also, when Quick Sight authors build analysis, one visual could be sourced from only one dataset. Quick Sight represents a dataset as a single flattened table. If a customer’s data source contains multiple tables, Quick Sight required customers to define the dataset by joining the source tables into a single table in Quick Sight data...

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How to Create AI Hair Transformations from Photos with Dreamina

Wondering what you’d look like with bangs, a buzzcut, or bold purple hair without actually touching a pair of scissors or a bottle of dye? That curiosity used to end with either a risky trip to the salon or a clunky app filter that looked nothing like you. Dreamina

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Finnish neocloud startup Verda raised $189M led by Emergence at a $1B+ valuation and aims to raise up to $1.5B in equity and debt in 2026 and up to $10B in 2027

Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Cloudflare Connect 2026: The Agentic Conference — Stop preparing for agents. Start running

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WordPress Patches ‘Click2Shell’ Vulnerability

WordPress last week released patches for 11 vulnerabilities, including a flaw that could potentially lead to remote code execution (RCE). Dubbed Click2Shell, the flaw does not have a CVE identifier yet. In its advisory, WordPress explains that it could be exploited via specially crafted URLs to automatically install and preview

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Should your next laptop be a Googlebook?

After first revealing the concept in May, Google's just unveiled a lineup of Googlebooks – premium laptops that are designed to pair nicely with your Android phone, and make it easy to access the company's AI-powered services while you work and browse the web. There are five

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How to Create AI Hair Transformations from Photos with Dreamina

Finnish neocloud startup Verda raised $189M led by Emergence at a $1B+ valuation and aims to raise up to $1.5B in equity and debt in 2026 and up to $10B in 2027

WordPress Patches ‘Click2Shell’ Vulnerability

Should your next laptop be a Googlebook?