​Graph Data Science in Practice

​In this workshop, you will learn how to apply graph algorithms to real-world business problems.

​You will explore how graph data science can help uncover patterns, relationships, communities, influence, similarity, and hidden connections inside connected data. The session will show how these techniques can support practical use cases such as recommendations, fraud detection, customer or farmer segmentation, supply chain analysis, risk scoring, knowledge graphs, and decision support.

​You will also learn how to think about graph algorithms in the context of your Kenya AI Challenge project, especially if your solution depends on relationships between farmers, buyers, markets, financial services, advisory content, locations, or organizations.

​By the end of the workshop, you should understand what graph data science is, when to use it, and how graph algorithms can help your team build more intelligent and useful solutions.