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What is Artificial Intelligence

GlossaryAI Fundamentals

The general name for technologies that enable computers to perform tasks typically requiring human intelligence.

Definition

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.

Example

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.

Why it matters

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.

How it works

AI systems receive data or a request, process it with algorithms and produce a result: prediction, classification, text, image, action or recommendation.

Where it is used

  • chatbots
  • content generation
  • analytics and automation

Limitations

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.