Keynote Speakers List

Prof Daniel O’Leary, USC Marshall School of Business, United States
         Title: 'Big Data', the 'Internet of Things' and the 'Internet of Signs'

Prof Weiguo Patrick Fan, Pamplin College of Business, United States
         Title: Overview of Social Media Analytics and Its Business Applications

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Keynote Lecture 1

'Big Data', the 'Internet of Things' and the 'Internet of Signs'

Prof Daniel O'Leary
USC Marshall School of Business
United States

 

Brief Bio
Daniel O'Leary is a Professor in the Marshall School of Business at the University of Southern California, focusing on information systems, artificial intelligence, enterprise resource planning systems and knowledge management systems. Dan received his Ph. D. from Case Western Reserve University. He is the former editor of IEEE Intelligent Systems and current editor of John Wiley's Intelligent Systems in Accounting, Finance and Management. His book, Enterprise Resource Planning Systems, published by Cambridge University Press, has been translated into both Chinese and Russian. Much of Professor O’Leary’s research has studied emerging technologies and their use in business settings.

Abstract
I will examine the relationship between so-called ‘Big Data’, the ‘Internet of Things’ (the ‘Internet of People and Things,’ and the ‘Internet of Everything’), and the ‘Internet of Signs.’ In particular, I investigate how the ‘things’ in the ‘Internet of Things’ generate ‘Big Data’, and how both are used to generate semiotic ‘signs’. In addition, I will analyse the importance of context in and the relationships between ‘Big Data’, the ‘Internet of Things’, and the ‘Internet of Signs’.

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Keynote Lecture 2

Overview of Social Media Analytics and Its Business Applications

Prof Weiguo Patrick Fan
Pamplin College of Business
United States



Brief Bio
Patrick Fan is a full professor of the Department of Accounting and Information Systems and Director of the Center for Business Intelligence and Analytics in the Pamplin College of Business. He specializes in business intelligence, data and text analytics, social network analysis, social media analytics, business data mining using both internal and external data, complex system analysis and modeling, and consumer behavior modeling and analysis. He has applied analytics in financial statement risk analysis, search engine optimization, targeted and precision marketing, sentiment and opinion mining for product quality control, competitive intelligence, and deception detection in large scale business transactions. He is currently working on applying various analytics for business value discovery using Big data (including social media) gathered from both inside and outside large corporations.

Abstract
As user generated contents in social media explode, how can you deal with this massive amount of data? How do you uncover value from the social media contents? This keynote will provide an overview of social media analytics. In particular, it will cover the needs for social media analytics, the underlying techniques for social media analytics, and some potential business applications. Before the conclusion, a case study will be used to showcase the application of social media analytics for product defect discovery.