AI Glossary
Over 35 terms from the world of artificial intelligence — explained clearly, for beginners and experts.
All Basics Agentic AI Models Regulation Technical Business
Beginner Intermediate Advanced
AI Strategy beginner
A plan that defines how an organization will use AI to achieve business goals. A good AI strategy covers: which problems to solve with AI, what data and infrastructure are needed, ...
AI-Native beginner
An organization, product, or workflow that is designed from the ground up with AI as a core component — not added as an afterthought. AI-native companies treat AI as the foundation...
Cost-per-Wear (in AI context: Cost-per-Inference) intermediate
The cost of running a single AI prediction or generation. Similar to cost-per-wear in fashion (price divided by number of uses), cost-per-inference helps evaluate the real value of...
Data Sovereignty intermediate
The principle that data is subject to the laws and governance of the country where it is collected or stored. Critical for European companies: using US-based AI services may expose...
ROI of AI beginner
Return on investment from AI projects. Measured by comparing the costs (tools, data, training, integration) against the benefits (time saved, errors reduced, revenue increased, new...
Learning Paths
Beginner
Understanding AI
The basics: What is AI, what are LLMs, how do prompts work? From novice to informed conversation partner in 30 minutes.
Intermediate
AI in Practice
Agentic AI, RAG, fine-tuning — the technologies that turn AI from a toy into a business tool. For decision-makers who want more than ChatGPT.
Advanced
Regulation & Governance
EU AI Act, bias testing, explainability — everything you need for compliant AI. Deadline August 2026.
The Native AI Briefing
European AI news, curated and fact-checked. Every 2–3 days. Free.