Fraudsters rely on burying the connections that would expose them below mountains of data to defeat conventional fraud detection technologies. Graph databases can uncover those connections, joining the data dots to reveal a pattern of fraud ring activity in real time to catch criminals in the act and prevent losses.

Watch this on-demand webinar for a demonstration of how you can build a fraud detection solution with Neo4j.
Joe Depeau
Sr. Pre-Sales Engineer, Neo4j

Originally from the USA but now living in the UK, Joe has over 20 years of varied experience in the IT industry across a number of domains and specialties. Most recently, Joe has focused on technical pre-sales and solution architecture in the data and analytics space. When not geeking out over data and technology he enjoys camping, tending to his garden and allotment, reading, and playing boardgames and RPGs. He also bakes a mean cheesecake.

Tim Ward
CEO, CluedIn

Tim has been spending the last 5 years of his career focussing on building large scale applications for the enterprise. With focus on scaling, performance, machine learning and databases, he brings with him over 10+ years of software experience. Being a Neo4j developer for the last 5-6 years of his career, he has a main focus on using database technologies like the graph to solve very complex and large scale problems. Originally from Australia, he now lives in Denmark with his wife and dog (that looks like Chewbacca).

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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