JCU Events
CITBA Webinar Series #3 – Big Data and Machine Learning for Business Analytics
The tsunami of data has led to trending discussions in the media, at universities and in companies. Many discussions address the analytical tools and methods that can unravel meaningful patterns from unorganized lakes of data. It will be argued that machine learning at its core is either a grouping of entities, e.g., customers, consumers or even parts of a text, or alternatively aims to find variables useful to predict specific events, such as product purchases, defaults on loans or customers defections. The relevance of categorization and predicting will be discussed next to more advanced techniques such as AI.
Moderator
 | Dr. Emiel Eijdenberg Dr. Emiel Eijdenberg is a Senior Lecturer and the Singapore Director of the Centre for International Trade and Business in Asia (CITBA). Dr. Eijdenberg is also Visiting Fellow at Vrije Universiteit Amsterdam, the Netherlands. Dr. Eijdenberg’s research interests are about entrepreneurs(hip) in emerging countries. Dr. Eijdenberg is particularly interested in the personal attributes of entrepreneurs and how these attributes are related to the sustainable growth of their businesses. Dr. Eijdenberg’s work has been presented at international management conferences such as AoM, ANZAM, ESU, EURAM, ICSB and RENT. See for Dr. Eijdenberg’s publications: Scholar Google profile. |
Speaker Profile
 | Professor Leo Paas Professor, The University of Auckland Business School After graduation I worked at a large Dutch bank, Postbank (ING group), addressing database marketing, data mining, marketing research activities and direct marketing. In 1999 I started working as a consultant for Da Vinci Group in Amsterdam, applying the knowledge gained at Postbank for various other firms. In 2001 I joined Tilburg University, first as a research assistant and in 2002 as Assistant Professor at the Marketing Department. I joined the marketing department of VU University Amsterdam in 2005 taking on the role of Associate Professor in 2006. In 2014 I started as Professor in Marketing at the School of Communication, Journalism and Marketing (Massey University – Auckland). In February 2019 I joined The University of Auckland Business School as a Professor in Marketing and Head of the Marketing Department in 2020. Central to my current academic research is (big data) analytics, with a focus on segmentation and respondent attention in online panels. |