Using Image Analytics and Deep Learning to Understand Consumer Decision-Making
Hely
Dátum
Kedves Barátunk, Szeretettel meghívunk az ELTE Informatikai Kar Mesterséges Intelligencia Tanszéke és az NJSZT MI Szakosztálya közös szervezésében megrendezésre kerülő szakmai előadásra, az alábbiak szerint.
Az előadás hibrid formában kerül megszervezésre, azaz ahhoz online is lehet csatlakozni itt:
Előadó: Bill Rand és Gijs Overgoor
Időpont: 2022. május 24 (kedd), 12:00 óra (dél)
Az előadókról:
Bill Rand is Executive Director of the Business Analytics Initiative and Associate Professor of Marketing at NC State University. Title of talk is Using Image Analytics and Deep Learning to Understand Consumer Decision-Making.
Bill Rand examines the use of computational modeling techniques, such as agent-based modeling, machine learning, network analysis, natural language processing, and geographic information systems, to help understand and analyze complex systems, such as the diffusion of information, organizational learning, and economic markets.
He also works to develop methods, create pedagogy, and build frameworks to allow researchers and practitioners to use analytics and data-intensive methods in their own work.
He has received funding for his research from the NSF, DARPA, ARL, Google, WPP, and the Marketing Science Institute. His work has been published in JM, JMR, IJRM, Management Science, and JOM.
He received his doctorate in Computer Science from the University of Michigan in 2005 and prior to coming to NC State was at the University of Maryland for eight years.
Gijs Overgoor is an Assistant Professor of Marketing at the Department of MIS, Marketing, and Analytics in the Saunders College of Business at Rochester Institute of Technology.
He completed his Marketing PhD at the University of Amsterdam, under the supervision of Professor Willemijn van Dolen and Professor Bill Rand. He holds a Master’s degree in Econometrics with a specialization in Big Data and Business Analytics. Gijs Overgoor spent most of his time during his PhD in the United States as a visiting scholar at Poole College of Management at NC State University.
In his research, Gijs Overgoor adopts a quantitative approach to marketing. He aims to solve marketing problems by applying techniques from AI and Econometrics. Gijs’ research has been published at the International Journal of Research of Marketing and California Management Review and it has received international coverage from Business Insider and NPO among others.
