StatSoft VP to Present Keynote at Big Data Business Conference
StatSoft, Inc. announces its Vice President of Analytic Solutions, Dr. Thomas Hill, is scheduled to present the keynote address at “The Business of Big Data” conference in Boston this week.
A noted speaker and author, Hill will speak on “The Nature of Insight from Big and Complex Data,” from the viewpoint of human cognitive science as it relates to strategies and approaches in predictive modeling.
The conference will be held at Boston Harbor Hotel by Knowledgent, a USA-based industry information consultancy. Organizers expect the conference to attract C-level decision-makers from financial and other industries primarily interested in the business aspects of big data, rather than just the technology aspects.
Dr. Hill’s keynote will focus on the role of human cognition as an efficient decisioning mechanism when applied against high-velocity big data. Hill posits that some underlying processes that give rise to expertise through interaction with complex and very rich data streams are, in fact, well understood, and that these processes can guide how best to approach predictive and other modeling analyses of big and high-velocity data relevant for key business performance indicators (KPI’s).
As Vice President for Analytic Solutions, Dr. Hill has been involved for over twenty years in the development of data analysis and data mining algorithms, and the delivery of analytic solutions. Dr. Hill also taught data analysis and data mining courses at The University of Tulsa for over ten years. He has received numerous grants and awards from the National Science Foundation, the National Institute of Health, the Center for Innovation Management, Electric Power Research Institute, and other organizations. Hill is a frequent speaker at national and international conferences. He has completed diverse consulting projects with companies from practically all industries, and has worked with leading insurance, financial services, and other companies to identify and refine effective applications for predictive analytic solutions.
He is the author (with Paul Lewicki, 2005) of Statistics: Methods and Applications as well as the Electronic Statistics Textbook (a popular online resource on statistics and data mining). He has published widely on innovative applications of data mining and predictive analytics, contributed numerous tutorials to the Handbook of Statistical Analysis and Data Mining Applications (Elsevier/Academic Press, 2009), and is a co-author of Practical Text Mining And Statistical Analysis for Non-Structured Text Data Applications (Elsevier/Academic Press, 2012). Both books won the prestigious PROSE Award from the Association of American Publishers for “pioneering works of research…and design of landmark works in their fields.”
Dr. Hill is also a contributing author to the forthcoming book, Practical Predictive Analytics and Decisioning Systems for Medicine, to be published by Academic Press early in 2014.