Typical anti-money laundering process can be complicated, difficult, lengthy, highly manual, and prone to false positives.  The data required for AML investigations is often complex, highly connected, and can come from multiple data sources within an organisation as well as from external providers.

Learn how to use Neo4j and the power of connected data along with graph analytics techniques to improve anti-money laundering investigations and compliance.  We’ll demonstrate how Neo4j enables faster and more accurate AML investigations, even across diverse and siloed data landscapes.

Joe Depeau
Sr. Presales Consultant, 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.


Benoît Simard
Field Engineer, Neo4j

Benoît est un développeur en informatique passionné par les nouvelles technologies et la philosophie du libre.

Ayant réalisé ses études à l'institut des mathématiques appliquées à Angers, son domaine d'expertise s'est tourné vers le domaine du web et des graphes. Evangéliste Neo4j depuis 3 ans, Benoît travaille actuellement chez Neo4j France comme expert et consultant technique. Il aime par ailleurs partager ses connaissances sur les graphes avec la communauté et lors de sessions de formation dédiées.
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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