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