As fraudsters get more sophisticated, organizations are augmenting their fraud detection capabilities with Neo4j to uncover fraud rings and other sophisticated scams with precision and in real time. Whether it’s first-party bank fraud, money laundering, insurance fraud or e-commerce fraud, Neo4j helps you detect the essential elements you need across different types of fraudulent activity.
In this webinar, Neo4j Engineer Stefan Kolmar will walk through a sample fraud detection application powered by Neo4j. Register to learn how a graph database changes the way your company detects fraud by allowing greater visibility into your data relationships, and see how current customers are using Neo4j to power their fraud detection applications.Stefan Kolmar, Field Engineer, Neo4j
Stefan has been in Technical Pre-sales roles for more than 15 years, working for companies such as Tandem, Compaq, and Portal Software with specific emphasis on database technologies. More recently, he took on lead Pre-Sales and Consulting roles in the DACH region for TimesTen (in-memory relational database). After TimesTen was acquired by Oracle (2006), Stefan grew to lead the entire European Oracle ISV/OEM Pre-Sales team as the Director of Sales Consulting.