Véronique is a Customer Advisor at SAS, and a true data science enthusiast. In her job, she passionately helps companies to envision and prepare for an AI-driven future, embrace the power of data science to support intelligent decisioning, and discover the real value in their data. Before she joined SAS, she graduated as Doctor in Business Economics at the KU Leuven with the department of Information Management and Decision Sciences under prof. dr. Bart Baesens. Her Ph.D is oriented towards the development of fraud detection frameworks and solutions from a data science perspective. She is co-author of the book “Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection”.