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.
- Douglas E. Faries is Senior Research Advisor at Lilly USA, where he oversees statistical design and analysis support for Health Outcomes Research.
- Michele M. Burlew designs and programs SAS applications for data management, data analysis, report writing, and graphics for academic and corporate clients.
- Kevin D. Smith has been a software developer at SAS since 1997.