Case Study: Inter-American Development Bank improves findability across data silos with Stardog

Inter-American Development Bank powers 5 applications with Stardog

The Inter-American Development Bank (IDB) faced a challenge with its vast proprietary knowledge being siloed across four distinct search applications, making it difficult for staff to find and connect relevant research, courses, and project briefs. To increase the utilization of these datasets, IDB partnered with Stardog to build a unification layer powered by a knowledge graph.

Using Stardog's built-in machine learning and Natural Language Processing, the solution connects concepts across data silos to find the most relevant content based on context, not just keywords. This knowledge graph now powers five applications, including a chatbot, delivering curated results to employees and enabling them to find the information they need, wherever it resides within the organization.

Inter-American Development Bank