January is National Human Trafficking Awareness Month. While you might be wondering what graph technology has to do with trafficking, we’ve found that similar to examining data through the lens of fraud prevention, data trends may also show evidence of criminal behaviors like money laundering or even human trafficking.

Join Kathryn O’Donnell, CEO and Founder of Clovis Technologies, and Navneet Mathur, Senior Director of Global Solutions at Neo4j, for this Graphs4Good webinar examining how graph database technology helps identify such activity and bring perpetrators to justice.

CEO and Founder of Clovis Technologies

Kathryn O’Donnell is the CEO and a co-founder of Clovis Technologies, where she leads the development of an AI-enabled software system that takes an innovative approach to helping financial institutions perform money laundering detection and reporting, shutting down the laundering of proceeds from crimes like human trafficking and terrorist financing.

Kathryn has spent her career using math to find bad guys. She began at the U.S. Department of Defense, building experience in a number of deep technical areas for nearly 15 years, then joined Capital One's Innovation Lab in San Francisco. She led data-driven projects ranging from customer marketing to new data storage technologies and served as a technical leader on fraud and money laundering. She has presented work on detecting human trafficking and on productionalizing artificial intelligence at the Grace Hopper Conference.

Recently, she participated in judging startup pitch competitions, presented an invited talk on anomaly detection in money laundering at the SIGKDD Conference on Knowledge Discovery and Data Mining and developed and presented masterclasses at professional conferences on evaluating AI vendors, including startups, designing data strategies to enhance AI development, and using design thinking techniques to improve both the mathematical modeling and the tools for money laundering and terrorist financing detection.

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.