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AI-Augmented Analytics terms
Copilots, agents and natural-language querying inside the analytics stack.
Agentic analytics The use of AI agents that autonomously plan and execute multi-step analytics work, such as investigating a metric change. AI agent A system that uses a language model to plan and take multi-step actions, such as calling tools or APIs, toward a goal. AI copilot An AI tool embedded in a work application that assists a human with suggestions or drafts, rather than working unsupervised. Augmented analytics Using AI and machine learning to automate parts of data preparation, insight discovery, and explanation in analytics tools. Decision intelligence A discipline combining data, analytics, and decision modeling to design, support, and improve how organizations make decisions. Generative AI AI systems that create new content, text, images, audio, or code, rather than only classifying or predicting a label. Natural language query Asking a data question in plain language and getting an answer without writing code or a query language. Text-to-SQL Technology that translates a plain-language question directly into a runnable SQL query against a database.