Ernst & Young has brought graph technology into the financial services realm, utilizing it for various use cases such as data lineage, prospecting, recommendation engines, and customer segmentation. Omar Azhar, Senior Manager Advanced Analytics at EY, discusses his work with Neo4j, a popular graph database, which he uses to solve graph-type problems prevalent in financial services. He highlights the benefits of using graphs, including visualization of complex data structures, identification of critical systems or applications, and analysis of trade routes to detect potential trade embargoes. Azhar also emphasizes the growing interest in graph technology among executives and clients, driven by its ability to address complex data-related problems. Looking ahead, he anticipates significant advancements in graph-based machine learning, particularly in areas like topology and network science.