Data15 min read
Semantic layer: what it is, how it works and how to choose in 2026
A semantic layer defines each business metric once and compiles it to SQL for every tool. See a tested MetricFlow example, the 2026 options and AI limits.
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Putting AI to work safely: automated workflows, assistants grounded in your own content, evaluations, and a person in charge.
The service behind this topic: AI & automation
Data15 min read
A semantic layer defines each business metric once and compiles it to SQL for every tool. See a tested MetricFlow example, the 2026 options and AI limits.
Updated
AI & automation14 min read
AI models predict plausible text without a reliable model of the world. See where their understanding falls short and how to use them safely in critical work.
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Custom software17 min read
AI is changing software engineering, not replacing it: what controlled trials, DORA, Stack Overflow and BLS data show, and which skills now matter.
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AI & automation15 min read
How AI is changing society in 2026: adoption, jobs, deepfakes, privacy, energy and the rules now applying, with what is measured and what is projected.
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IT support15 min read
How AI smart home devices work, from learning thermostats to cameras and voice assistants, what they save, what data they collect and how to secure them.
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AI & automation16 min read
How AI works in consumer health: what FDA-cleared smartwatch features detect, where wellness apps and chatbots stop, and who protects your health data.
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AI & automation15 min read
AI speeds up drug discovery by learning quantum chemistry: ML force fields trained on DFT data simulate how drugs bind, near DFT accuracy and far faster.
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AI & automation17 min read
AI in robotics uses learned models to see a scene, turn an instruction into motor commands and predict what happens next. How each part works, and its limits.
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AI & automation15 min read
Visual abstract reasoning is inferring a rule from a few pictures. How AI is tested on it, the methods that work, and what studies of multimodal models found.
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AI & automation19 min read
Intelligent apps build AI into their core features. How they are built, the four ways to add AI to an app, and the hard parts: data, evaluation, cost and law.
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