AI & Data Foundations

Topic modeling is an AI technique that identifies themes in large text collections, helping organizations analyze unstructured data and gain actionable insights for decision-making.

Transfer Learning adapts pre-trained AI models to new tasks, reducing data and cost barriers. It enables resource-limited sectors like healthcare, agriculture, and education to leverage advanced AI for local challenges.

Unsupervised Learning discovers patterns in unlabeled data, enabling organizations to analyze raw information and uncover insights, especially valuable in resource-limited development and social innovation contexts.

Vector Similarity Search uses AI to find items most similar to a query by comparing vector embeddings, enabling semantic search and improving knowledge discovery across sectors like education, health, and humanitarian aid.