Neo4j's Chief Scientist, Dr. Jim Webber, showcased stories from Neo4j community members and customers at NODES 2021 closing keynote. One such story is that of Julie Fisher, a Risk Modeling Scientist at Asurion, who uses graph technology to identify fraud patterns in cell phone insurance data. Julie came across graph technology while working with tabular data and saw connections between seemingly unrelated pieces of information. She applied graph technology to visualize her findings and identify patterns, which helped her expand the known bad actors into the unsure category. Julie's experience highlights the potential for graphs to combat fraud and suggests that the technology is maturing as it grows in various industries. The conversation also touches on the importance of dissemination of information about graphs and their expansion into new domains.