2024 6th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI 2024)
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Professor Jiangtao Qiu

Southwestern University of Finance and Economics, China

Dr. Jiangtao Qiu is a professor and doctoral supervisor at the School of Computing and AI at Southwestern University of Finance and Economics. His research interests include data mining, business intelligence, and FinTech. In the last ten years, he has published more than four papers; presided over one natural science foundation in China; conducted two ministry of education research projects; as well as edited three textbooks.

Speech Title: Business Intelligence: A perspective of Users in E-commerce

Abstract: The term "business intelligence" can be traced back to the 1980s; however, it was not until Microsoft introduced its OLAP Service product in 2000 that "business intelligence" started gaining widespread attention in both industry and academia. During this period, business intelligence primarily focused on multidimensional data analysis and automated reporting technology within data warehouses. Over the course of more than two decades of evolution and development, particularly with the rise of e-commerce and continuous advancements in artificial intelligence technology, the concept and research scope of business intelligence have significantly expanded beyond its initial scope of data analysis. This report takes an e-commerce user perspective to provide a comprehensive and thorough review of the theoretical framework underlying business intelligence. It integrates recent significant research findings from deep learning technology in this field while systematically examining the progress made in academic research on business intelligence from an e-commerce user standpoint. Furthermore, it offers prospective discussions on future trends and directions for its development.


Professor Tong Li

Shenzhen University, China

Dr. Tong Li, male, professor of the College of Management, the executive director of Institute of Mobile-Internet-Things Industrialization of Shenzhen University. An expert in the database of experts in philosophy and social sciences of Guangdong Province, an expert of the Shenzhen Science and Technology Innovation Commission. A bachelor's degree in mathematics from Hubei Normal University, a master's degree and a PhD degree in system engineering from Huazhong University of Science and Technology. Dr. Li once taught at Wuhan University of Technology and Huazhong University of Science and Technology. As a science and technology envoy, participated in the operation and research and development of enterprises, and once served as the Director of the research and development center of Compaq (HP) Scipower E-commerce, the Assistant to the chairman of Scipower Electronics and the Director of the the Emoticon Recognition Innovation Application Joint Laboratory of National Supercomputing Shenzhen Center & Shenzhen Zhihuilin Network Technology Co., Ltd.

Speech Title: Mortal Computation

Abstract: Mortal Computation refers to a novel computational paradigm proposed by Hinton. It emphasizes a closer integration between software and hardware, drawing inspiration from the characteristics and principles of biological intelligence. The goal of Mortal Computation is to address energy consumption issues by mimicking the energy-efficient information processing capabilities of biological systems. The idea of Mortal Computation is introduced in this keynote. The possibilities and challenges of its realization will be discussed.