Traditional fraud prevention measures focus on discrete data points such as specific accounts, individuals, devices or IP addresses. However, fraudsters today have sophisticated ways to get away with using collaborative efforts and synthetic identities. To uncover such fraud rings, it is essential to look beyond individual data points to the relationships between them.

Graph data science harnesses the power of connections to analyze data relationships, detect suspicious patterns and prevent fraudulent transactions.

Join us for this webinar for a deep dive into graph analytics for fraud detection where we will discuss:
- How to use graph data science to prevent fraud
- How to improve fraud detection with graph feature engineering
- How graph analytics benefit even non-technical fraud investigators

Presenters:
Amy Hodler, Graph Analytics & AI Program Director, Neo4j
Dave Voutila, Solutions Engineer, Neo4j

Amy E. Hodler
Graph Analytics & AI Program Director at Neo4j

Amy Hodler is the Graph Analytics & AI program Director at Neo4j. She loves seeing how the community uses graph analytics to reveal structures within real-world networks and infer behavior.
Amy is the co-author of the O'Reilly book Applied Graph Algorithms in Apache Spark and Neo4j, published in early 2019 and updated July 2020.

Dave Voutila
Solutions Engineer at Neo4j

Dave is a transplant to the state of Vermont, having grown up and spent most of his life in Massachusetts. After receiving his degree in mathematics, he worked in a variety of sales engineering roles at software startups and spent some time as an independent consultant. Prior to joining the Neo4j team, Dave was VP of Solutions for a SaaS startup where he was a full-stack engineer as well as the lead cloud systems engineer.

Kelsey Bieri
Data Governance Analyst, ICC

Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.

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