Définition
Artificial intelligence includes machine learning, neural networks, language processing, computer vision, speech recognition, content generation, recommendations, and autonomous agents. In a practical sense, AI is not magic, but a set of methods and products that learn from data, follow rules, or use models to solve problems.
Exemple
AI can help you write text, recognize an object in a photo, translate speech, find an anomaly in data, or suggest the next step in a workflow.
Pourquoi c'est important
The term is important as the main entry point of the glossary: many users start with the question of what AI is and where it is really useful.
Fonctionnement
AI systems receive data or a request, process it with algorithms and produce a result: prediction, classification, text, image, action or recommendation.
Où c'est utilisé
- chatbots
- content generation
- analytics and automation
Limites
AI can make mistakes, be data-driven, reproduce bias, and create a false sense of confidence. Its results need to be checked in important problems.
FAQ
Why is “Artificial Intelligence” useful to know?
The term is important as the main entry point of the glossary: many users start with the question of what AI is and where it is really useful.