Semantic AI

Semantic AI enables machines to interpret the intent of search terms to improve the results returned and information findability. For example, ‘Glasgow bus timetables’ and ‘departure/arrival times Glasgow buses’ essentially mean the same thing – but without Semantic AI could elicit two very different sets of search results based on exact term matches. Another example: in a search for ‘rock music’, without semantic AI a search engine might interpret ‘rock’ to mean a stone, instead of a music genre.

By linking content to its implicit, hidden or intangible meanings, Semantic AI simulates a human-like understanding of search terms to give searchers more accurate results that are much better aligned with what they were actually looking for.

Example use cases

  • Content classification
  • Search autocompletion
  • Chatbots and voice assistants
  • Personalized results and recommendations

Key benefits

  • More efficient and effective findability of information 
  • More relevant search results 
  • Better customer experiences 
  • Greater employee productivity 
  • Improved decision-making

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