AI Glossary

Artificial Intelligence (AI) refers to computer systems that simulate human intelligence - including learning, problem-solving, language understanding and decision-making. In a business context, AI au...

AI Agents are autonomous software systems that can independently plan, execute and adapt tasks. Unlike simple chatbots, agents can perform multiple steps, access external systems and handle complex wo...

The EU AI Act is the world's first comprehensive AI regulation. It classifies AI systems by risk levels (minimal, limited, high, unacceptable) and sets requirements for transparency, safety and human ...

Embeddings are numerical representations of text, images or other data in a high-dimensional vector space. They enable AI systems to recognize semantic similarities - e.g. to find similar documents, i...

The revised Federal Act on Data Protection (FADP/revDSG) is the Swiss data protection law, in force since September 2023. It governs the protection of personal data and sets requirements for transpare...

Fine-tuning is the adaptation of a pre-trained AI model to a specific task or industry. By training with company-specific data, the model is optimized for the respective use case - e.g. for contract a...

AI hallucinations refer to situations where an AI model presents false or fabricated information as facts. Causes include training data gaps or statistical probabilities. Countermeasures: RAG, fact-ch...

Large Language Models (LLMs) are AI models trained on vast amounts of text data that can understand and generate natural language. Well-known examples include GPT (OpenAI), Claude (Anthropic) and Gemi...

Machine Learning (ML) is a subset of AI where algorithms learn from data without being explicitly programmed. ML recognizes patterns in data and makes predictions - e.g. for fraud detection, demand fo...

Natural Language Processing (NLP) enables computers to understand, analyze and generate human language. NLP applications include text classification, sentiment analysis, translation, chatbots and auto...

Prompt Engineering is the art of crafting instructions (prompts) for AI systems to achieve optimal results. Good prompt engineering can drastically improve the quality of AI outputs - from text genera...

RAG combines information retrieval with AI text generation. The system first searches a knowledge base (e.g. company documents, FAQs) and uses the retrieved information to generate precise answers. RA...

Robotic Process Automation (RPA) automates rule-based, repetitive tasks through software robots that operate user interfaces. RPA is suitable for structured processes with clear rules but is limited w...