20.5k unique visitors in the last 3 days

RAG TV: Data Drift and Reducing False Positives for Fraud Cases

Drift means any automated model for evaluating fraud risk needs to be updated, no matter how sophisticated the technology used.

Yesterday’s episode of RAG Television featured Daniele Cellai, an expert in data and fraud systems at Hewlett Packard Enterprise, who spoke about the ways technology can lower the number of false positives generated by fraud systems, or otherwise focus effort on the cases that are most likely to be fraudulent. Daniele explained how ‘drift’ causes any data-driven model to degrade over time, and the consequent impact on the fraud team’s efficiency.

Co-host Lee Scargall and I also talked about the recent privacy breach at a virtual conference and why the rush to move events online poses an increased risk to telco employees.

You can watch the episode at the RAG website, or by clicking on the play button below.

Eric Priezkalns
Eric Priezkalnshttp://revenueprotect.com

During his career, Eric has been a Director of Risk Management for a national telco, the Chief Executive of the Risk & Assurance Group, a Chief Marketing Officer for a software business, a consultant, a public speaker and the publisher of Commsrisk since its launch in 2006. Look here for more about the history of Commsrisk and the role played by Eric.

The comms providers that Eric has worked for include Qatar Telecom, Cable & Wireless, T‑Mobile, Sky and Worldcom. In addition to his proficiency at speaking about the current scamdemic, Eric is also a qualified chartered accountant and a subject matter expert in consumer protection, enterprise risk management, fraud prevention, data integrity and billing accuracy. Eric was the lead author of Revenue Assurance: Expert Opinions for Communications Providers, published by CRC Press. He can be reached through the contact form on this website.

Related Articles

The Commsrisk Global Fraud Dashboard


Our Global Fraud Dashboard uses AI-powered search to collate, update and visualize data about scams and other network abuses from around the world. New charts are added each month. See it here.

Get Our Weekly Newsletter by Email