Head: Heyong Wang

Key Members: Yingliang Wu, Zhengan Yao, Hai Wan, Wenhui Zhou, Gansen Zhao, Lingyan Bi, Qingsong Jiao, Yiyun Chen, Chengan Li, Xin Chen, Helong Li, Canzhong Yao, Ming Hong, Lixin Jiao.

Research Directions:

1.Big Data Management and Governance

Driven by the needs of business intelligence and big data management, the primary focus is on applying theories and methods of big data processing in business management, as well as methods for big data management and governance.

2. Data Mining and Artificial Intelligence Model

The primary research lies in data mining and artificial intelligence models, with a particular emphasis on data analysis, data mining, and the application of artificial intelligence techniques in business and industry. Specifically, we concentrate on parallel processing methods for big data, the application of deep learning algorithms in business intelligence, and the improvement and optimization of models to solve practical business intelligence issues in the Guangdong-Hong Kong-Macao enterprise.

3. Enabling Enterprise Digital Transformation in the Big Data Environment

Within the big data environment, we conduct research that combines data mining and business intelligence to enable the upgrade of enterprise digital transformation. The mechanisms that affect digital transition and upgrades enabled by a new generation of information technology in manufacturing are examined, and corresponding countermeasure suggestions are proposed.

The Research Center addresses the significant needs for next-generation IT and digital economy development. Its primary focus is on key technology issues in the big data and business intelligence industry, conducting original, systematic, and pioneering research. It aims to break through key core technologies such as advanced big data technology and governance, artificial intelligence, and machine learning. The Research center supports the deep integration of big data and business intelligence theory, technology, and industrial applications. Moreover, it undertakes major scientific research tasks, conducts related research, cultivates high-quality talents in the field of big data and business intelligence, promotes the transformation of big data and business intelligence scientific research results, and assists in the construction of the “Government-Industry-Academy-Research-Application” ecosystem.