Graph-Powered Recommendations

This podcast explores how graph structures can be used to uncover hidden relationships, predict missing information, and generate meaningful recommendations from complex datasets. Using wine and beverage data as a practical example, it discusses graph analytics, link prediction, and intelligent data enrichment techniques. Perfect for data scientists, AI practitioners, graph database enthusiasts, and anyone interested in discovering how connected data can solve real-world problems.