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PLIANT RECOGNIZES INTENT
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Unlike other systems that rely on “literal” queries, Enterprise AI recognizes “intent”.
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For instance, a literal customer search for “Thomas Smith” or “17 Fulcrum Street Apt. 79” would flag no data (shown bottom left) due to nicknames, misspellings, abbreviations, typographical errors or other variations. Yet, a person and Pliant would recognize each as a potential match.
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Enterprise AI can readily manage these known issues that affect finding and properly integrating information:
- Customer records in one system (that has entire “Address” in one field) and Billing records in another (that has “Address” spread across five separate fields -- Address1, Address2, City, State, Zip).
- The word, “bass”, in a document that could be related to either fish or music.
- “John”, “Jonathan”, “J.” or (misspelling) “Jhn”, all found in the same field.
- In one language, the word, “house”, and, in another language, “casa”.
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Pliant’s patented semantic architecture and algorithms automate the entire solution to these challenges.
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