AI Glossary
Plain-language explanations of the AI terms, concepts, and applications that matter — from artificial intelligence and machine learning to how AI is reshaping business, finance, healthcare, and education.
Foundations
Artificial Intelligence
Artificial intelligence (AI) is the field of computer science focused on building systems that can perform tasks normally requiring human intelligence — perceiving, reasoning, learning, and using language.
Read definitionMachine Learning
Machine learning is a subset of artificial intelligence where systems learn patterns from data and improve at a task without being explicitly programmed for it.
Read definitionDeep Learning
Deep learning is a subset of machine learning that uses multi-layered neural networks to learn complex patterns from large amounts of data.
Read definitionArtificial General Intelligence
Artificial general intelligence (AGI) is a hypothetical AI system that can match or exceed human capabilities across any cognitive task, not just one narrow domain.
Read definitionNarrow AI
Narrow AI (or weak AI) is artificial intelligence built to perform one specific task — which describes every AI system in practical use today.
Read definitionCapabilities
Generative AI
Generative AI is a class of artificial intelligence that creates new content — text, images, audio, video, or code — rather than only classifying or predicting from existing data.
Read definitionLarge Language Model
A large language model (LLM) is a type of AI trained on vast amounts of text to understand, generate, and reason with human language.
Read definitionConversational AI
Conversational AI is technology that lets humans interact with software using natural language — through chatbots, voice assistants, and AI agents.
Read definitionComputer Vision
Computer vision is a field of AI that enables machines to interpret and act on visual information from images and video.
Read definitionChatbot
A chatbot is software that converses with people in natural language, historically rule-based and now increasingly powered by large language models.
Read definitionAI APIs
AI APIs let developers add AI capabilities — language, vision, speech, and more — to their own products by calling a provider's models over the internet.
Read definitionApplications
AI in Business
AI in business refers to the use of artificial intelligence to automate work, generate insights, and improve decisions across marketing, operations, sales, and customer service.
Read definitionAI in Finance
AI in finance is the use of artificial intelligence for fraud detection, risk assessment, trading, customer service, and personal financial management.
Read definitionAI in Healthcare
AI in healthcare is the use of artificial intelligence to support diagnosis, drug discovery, patient monitoring, and administrative workflows.
Read definitionAI in Education
AI in education is the use of artificial intelligence to personalize learning, support teachers, and streamline administrative tasks.
Read definitionAI in Manufacturing
AI in manufacturing is the use of artificial intelligence for predictive maintenance, quality inspection, supply-chain optimization, and autonomous operations.
Read definitionAI in Agriculture
AI in agriculture is the use of artificial intelligence for crop monitoring, precision farming, yield prediction, and resource optimization.
Read definitionAI Automation
AI automation is the use of artificial intelligence to handle tasks and workflows end-to-end, often combining AI with traditional automation to act, not just answer.
Read definitionEthics & Trust
Explainable AI
Explainable AI (XAI) is the practice of making an AI model's decisions understandable to humans, so users can see why a system produced a given result.
Read definitionResponsible AI
Responsible AI is the practice of building and deploying AI in ways that are fair, transparent, safe, and accountable — managing risk throughout an AI system's lifecycle.
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