AI Glossary
AI, in plain English.
The DAIDU AI Glossary defines 40 AI terms in one or two clear sentences, then explains each one with a business example. Use it to brief your team, read vendor proposals with confidence, or settle a meeting debate.
40 terms shown
A
- AI agentAn AI agent is software that uses an AI model to work towards a goal by planning steps and using tools, such as searching, reading files or updating systems, with limits and approvals set by people.
- AI copilotAn AI copilot is an AI assistant built into the software you already use, helping you write, analyse or act inside that application.
- AI governanceAI governance is the set of policies, roles and processes an organisation uses to decide how AI is chosen, used, monitored and held accountable.
- AI readinessAI readiness is how prepared an organisation is to use AI effectively, across strategy, people and skills, processes, data, technology and governance.
- APIAn API (application programming interface) is a defined way for software systems to talk to each other and exchange data or trigger actions.
C
- ChatbotA chatbot is software that holds a text or voice conversation with users, answering questions or completing simple tasks.
- Computer visionComputer vision is the field of AI that enables computers to interpret images and video, for example to recognise objects, read text or detect defects.
- Context windowThe context window is the maximum amount of text, measured in tokens, that an AI model can consider at one time, including your prompt, documents and its reply.
- Conversational AIConversational AI is the set of technologies that let computers understand and respond to human language in a dialogue, by text or voice.
- CRMA CRM (customer relationship management) system stores and organises a business's contacts, conversations, deals and follow-ups in one place.
D
E
- EmbeddingAn embedding is a list of numbers that represents the meaning of a piece of text, image or other data, so that similar meanings have similar numbers.
- EvaluationEvaluation is the structured testing of an AI system's outputs against agreed examples and criteria to measure quality before and after launch.
F
G
- Generative AIGenerative AI is AI that creates new content, such as text, images, audio, video or code, in response to a prompt.
- GroundingGrounding means tying an AI model's answers to specific, trusted source information rather than letting it rely only on what it learned in training.
- GuardrailsGuardrails are rules and technical controls that keep an AI system within safe, approved behaviour, such as topics it may discuss, data it may use and actions it may take.
H
I
L
- Large language model (LLM)A large language model is an AI model trained on very large amounts of text to understand and generate language, and it powers assistants such as ChatGPT, Claude and Gemini.
- Lead scoringLead scoring is a method of ranking potential customers by how likely they are to buy, so sales teams focus on the most promising ones first.
- Low-codeLow-code tools combine visual building with the option to add small amounts of code for custom logic or integrations.
M
N
O
P
R
- Responsible AIResponsible AI means designing and using AI in ways that are fair, transparent, safe, private and accountable to the people it affects.
- Retrieval-augmented generation (RAG)RAG is a technique where an AI system first retrieves relevant passages from your own documents and then uses them to generate an answer, ideally with links to the sources.
- Robotic process automation (RPA)RPA is software that automates repetitive computer tasks by mimicking how a person clicks and types in applications' user interfaces.
S
T
V
W
- WebhookA webhook is an automatic message one system sends to another when a specific event happens, such as a new order or a form submission.
- Workflow automationWorkflow automation is the use of software to run a sequence of business steps automatically when a trigger occurs, such as a new form submission or email.