📚 node [[data vs insight]]
📓
garden/KGBicheno/Artificial Intelligence/IBM AI Services/Building AI services/Week1/Data vs Insight.md by @KGBicheno
Data vs Insight
See the [[Main AI Page]]
Watson Discover document examples
Discovery: Uses IBM AI abilities to extract actionable data from huge amounts of business data.
- News articles
- Legal documents
- Novel drafts
- Resumes
You can end up with vast amounts of these, and the information held within them can be of extreme value - but next to impossible to query and digest using traditional means.
Watson Discover Enrichments
Discover can add enrichments to these documents, including:
- extracting keywords
- concept keywords
- entity extraction
- sentiment analysis
- tagging concepts
These can include extracting specific entities such as:
- country,
- companies,
- people,
- sentiment analysis
Watson Discover query syntaxes
You can build your own queries using:
- natural language
- a visual builder, or
- a specific IBM syntax known as the Discovery Query Language
Document handling
Discovery is integrated with multiple existing services for injecting your company's documents for analysis, such as Sharepoint, Box, Salesforce, IBM cloud storage and generic upload.
📖 stoas
- public document at doc.anagora.org/data-vs-insight
- video call at meet.jit.si/data-vs-insight
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