GMV helps the IDB in its knowledge-management strategy
GMV has been working with the Inter-American Development Bank (IDB) to lay down the bases of a knowledge management infrastructure, doing so with the aim of furnishing users with relevant, contextual and precise information. The company used some of the best technologies for processing unstructured data: cognitive analysis, machine learning and natural language processing (NLP).
Drawing on its wealth of experience and technical knowledge, GMV’s team managed to combine and adapt various solutions such as IBM Watson and Python’s Natural Language Toolkit (NLTK) to come up with an answer for IDB’s specific knowledge-management and information-processing needs. This includes the use of knowledge analysis engines, rule-extraction algorithms and the organization of lessons learned from past projects, as well as automatic document classification.
Javier Fernández, head of the Text Analytics & Big Data section at GMV USA, led this project, which, in his own words, has enabled GMV “to win itself a position as leading technological partner in such a critical IDB area as Knowledge Dissemination”.
The Inter-American Development Bank is one of the main sources of long-term financing for economic, social and institutional projects of Latin America and the Caribbean. As well as granting loans, donations and credit guarantees, IBD also carries out cutting-edge research projects to find groundbreaking and sustainable solutions for this region’s most urgent problems. Set up in 1959 to speed up progress in its member developing countries, IDB strives daily to improve peoples’ lives.
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