About this episode

This episode features a discussion on the use of data analytics and machine learning in compliance, focusing on the Scoular FCPA enforcement action.

In this episode, Tom Fox welcomes back Vince Walden, CEO of konaAI, which is the sponsor of this podcast series. Vince is well known for his leadership in data analytics, machine learning, and AI, and we take a deep dive into all of these topics through the lens of the Scoular FCPA Enforcement action. The Scoular case is a unique learning tool for using data analytics, machine learning, and AI for compliance. In this matter, roughly 2,000 near-$2,000 payments were tied to customs brokerage activity. This case illustrates broader uses of data analytics beyond numbers, including mining unstructured text in invoice and payment-description fields (e.g., repeated terms like “re-inspection fee” and Spanish phrases) and linking it to structured AP data. Walden explains how combining structured and unstructured data reduces investigator bias, how round-dollar and repetitive payments to high-risk vendors can be continuously risk scored using hundreds of tests, and how machine learning can “find more like this” across large transaction populations. We discuss integrating communications data when available, using monitoring within typical 30–60-day payment cycles to prevent payments…

People in this episode

Host: Tom Fox

Guest: Vince Walden

Topics covered

• data analytics
• compliance
• machine learning
• FCPA enforcement
• structured data
• unstructured data
• risk scoring

Keywords

• data analytics
• compliance
• machine learning
• FCPA
• risk scoring
• structured data
• unstructured data
• text mining
• payments
• customs brokerage

Sponsors

konaAI

Mentioned in this episode

Organizations: Scoular, DOJ

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