The Marsen glossary

Less jargon.
More understanding.

Straightforward explanations for the words you hear in conversations about AI, search, and automation.

An AI system that can interpret a task, use approved tools or information, take bounded actions, and record the outcome.

A customer relationship system that uses AI to summarize context, recommend next actions, and automate selected work.

Work that improves how clearly AI answer systems can access, understand, associate, and reference public information about an entity or topic.

A machine-learning model trained to process and generate language by predicting useful sequences from context.

A method for prioritizing opportunities using observable fit, intent, engagement, and business rules.

A pattern that retrieves relevant information from approved sources before an AI model produces an answer.

Structured data commonly expressed with the Schema.org vocabulary to describe page information.

Machine-readable information that describes visible page entities and relationships using defined vocabularies.

A system that stores numerical representations of information so semantically related content can be retrieved.

Software that moves information and triggers repeatable actions across a business process under defined rules.

10 terms

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