Manager of Data Science Technologies, SAS
Wayne Thompson is the Manager of Data Science Technologies at SAS. He is one of the early pioneers of business predictive analytics, and he is a globally recognized presenter, teacher, practitioner, and innovator in the field of predictive analytics technology. He has worked alongside the world's biggest and most challenging companies to help them harness analytics to build high-performing organizations. Over the course of his 20-year career at SAS, he has been credited with bringing to market landmark SAS analytic technologies (SAS® Text Miner, SAS® Credit Scoring for SAS® Enterprise Miner™, SAS® Model Manager, SAS® Rapid Predictive Modeler, SAS® Scoring Accelerator for Teradata, SAS® Analytics Accelerator for Teradata, and SAS® Visual Statistics). His current focus initiatives include easy-to-use, self-service data mining tools for business analysts, deep learning and cognitive computing.
Wayne received his PhD and MS degrees from the University of Tennessee. During his PhD program, he was also a visiting scientist at the Institut Superieur d'Agriculture de Lille, Lille, France.
Wayne is also the author of the foreword to the free e-book, Discovering Data Science: Selected Topics.
- Bart Baesens is an associate professor at KU Leuven (Belgium) and a lecturer at the University of Southampton (United Kingdom).
- Stephen McDaniel is a west coast-based independent consultant and trainer focused on meeting business needs with simple technical solutions.
- Rick Wicklin is a principal researcher in computational statistics at SAS, where he develops and supports the IML procedure and the SAS/IML Studio application.
- Ron Cody, EdD, a retired professor from the Robert Wood Johnson Medical School now works as a private consultant and a national instructor for SAS Institute.