We are happy to announce the registration for the 2016 Annual Advanced Analytics Forum is now open. This year we are featuring Dr. Wayne Thompson, Chief Data Scientist at The SAS Institute, as our keynote speaker. The registration fee is $135. Click here to register.
2016 marks the 15th year of the IHBI Advanced Analytics & Predictive Modeling Forum. The event will take place Thursday July 14th in the Education and Human Services Building on Central Michigan University's main campus in Mount Pleasant, Michigan. This year's theme focuses on the implementation of "Big Data / All Data" and its potential use for deeper, effective analytics. Talks will focus on explaining the value, setting up an infrastructure, and challenges towards applying Big Data analytics, and how your organization can benefit from its use.
Wayne Thompson is a globally renowned presenter, teacher, practitioner and innovator in the fields of data mining and machine learning. He has worked alongside the world's biggest and most challenging organizations to help them harness analytics to build high performing organizations. Over the course of his 20-year tenure at SAS he has been credited with bringing to market landmark SAS analytics technologies (SAS Text Miner, SAS Credit Scoring for Enterprise Miner, SAS Model Manager, SAS Rapid Predictive Modeler, SAS Scoring Accelerator for Teradata, SAS High Performance Analytics (Data Mining) SAS Analytics Accelerator for Teradata, SAS Visual Statistics). Current focus initiatives include easy to use self-service data mining tools for business analysts, outlier detection and description, entity analytics, recommendation engines with a heavy focus on SAS highly interactive in-memory analytics optimized for Hadoop. Wayne received his Ph.D. and M.S from the University of Tennessee in 1992 and 1987, respectively. During his PhD program, he was also a visiting scientist at the Institut Superieur d'Agriculture de Lille, Lille, France.
Stay tuned here or to our social media sites for upcoming announcements and a full agenda for the forum. Or, email IHBI@cmich.edu for further info.