Knowledge Base Extraction on SAP BTP
Use Case: Using artificial intelligence to find the right wiki entries via a chat search!
The knowledge bases of companies (such as Confluence or other wikis) are often too large and unstructured to directly find the page that answers an urgent question. Usually, the search function is not helpful either. With a specially trained AI service, relevant entries for a search query can be quickly and intelligently located.
When a question is posed in the chat, the AI hosted on the Business Technology Platform gives the answer
Three success factors of Knowledge Base Extraction on SAP BTP:
- On SAP BTP, large amounts of data can be processed and securely cached quickly
- The flexible integration capabilities of SAP BTP allow for the inclusion of various types of wikis and websites without incurring additional integration overhead
- SAP BTP, with its suitable services, is the ideal host for AI projects and proof of concepts (PoCs)
Proof Point
Retail
User
Employees
Technology
SAP BTP, Cloud Foundry, SAP HANA Cloud, SAP DI
Any questions about Knowledge Base Extraction on SAP BTP?
We would be happy to talk to you about use cases, that are not only exciting, but can also be successfully implemented.
Akin Aritmac
Chief Sales Officer
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With passion and cross-industry knowledge, Akin Aritmac supports his customers on their way to successful digitization.
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