Yapı Kredi
KUVARS internal generative AI search
Yapı Kredi used its Turkish language model to search more than 20,000 information materials and documents
Problem
Employees needed to retrieve information from dispersed corporate knowledge resources.
Approach
Yapı Kredi developed KUVARS for its Corporate Portal Transformation project. The search engine used the bank's internally trained Turkish language model to retrieve information and documents.
Results
Takeaway
The bank disclosed the search collection's scope without quantifying time saved or answer accuracy.
Categories
- Size
- Large enterprise
- Industry
- Finance and insurance
- Business function
- Internal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Yapı Kredi described KUVARS as an operational application of its Turkish language model. It reported access to more than 20,000 information materials and documents without a measured productivity result.
Full details are in the original sources.