Consilient

Consilient publishes analysis by its financial crime detection experts, including news and industry insights.

PRAUC combines recall and precision to show how AML models truly perform, improving detection effectiveness and investigator efficiency across institutions.

Chris is the IT chief technology and innovation officer at NASA JPL and manages the AI, Analytics, and Innovative Development Organization in its Information Technology and Solutions Directorate.

Dhruv is a data scientist and machine learning engineer with full stack experience in designing, executing and deploying end to end data solutions. Previously, Dhruv advised some of the world’s largest multinationals on technical data architecture, integration, and strategy, including designing and developing cloud based machine learning solutions.

Gerald has more than 30 years of IT management experience, including work in security controls, training, project management, risk management, incident management, and forensic malware analysis.

Jeffrey is Consilient’s senior scientist, a senior research fellow at Claremont Graduate University, and an instructor at Georgia Institute of Technology. He holds degrees in physics and economics and co-authored a patent on machine learning technology.

Consilient’s founders identified a need to evolve efforts to combat money laundering and improve financial crime detection.

Consilient’s federated learning technology supports efforts to combat anti-money laundering and the financing of terrorism (AML/CFT).

Consilient considers the responsible use of personal information critical to its business objectives and reputation.