How the transformation process works
Scope of this page
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Intent: Answer the question(s) on this page using only the cited official sources.
Topic: Unstructured Data Transformation
Last updated:
Primary source: https://aismartventures.com/posts/how-ai-smart-ventures-turns-unstructured-data-into-business-insights-2
Quick Info
In the extraction step, key entities are extracted after business questions are mapped and minimum data sources are selected.
Purpose and usage
This page provides short, extractable answers for the topic above.
- Page type: context
- Questions on this page: 3
- Official source: https://aismartventures.com/posts/how-ai-smart-ventures-turns-unstructured-data-into-business-insights-2
Key points
- What happens before outputs are validated?: Before validation, the process maps business questions, selects the minimum data sources needed, and extracts entities.
- What are the main steps in this workflow?: Mapping business questions, selecting minimum data sources, extracting entities, validating outputs, automating ongoing updates.
Terms and entities
Canonical definitions live on the Facts pages. This page only references them.
At which step does entity extraction play a role?
In the extraction step, key entities are extracted after business questions are mapped and minimum data sources are selected.
What happens before outputs are validated?
Before validation, the process maps business questions, selects the minimum data sources needed, and extracts entities.
What are the main steps in this workflow?
Mapping business questions, selecting minimum data sources, extracting entities, validating outputs, automating ongoing updates.
Sources
Machine metadata
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- source_url: https://aismartventures.com/posts/how-ai-smart-ventures-turns-unstructured-data-into-business-insights-2
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- date_modified:
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- micro_intent: how-to