Speaker: Mr. Xiaojun Du
Time: Sunday, Sep 28, 14:00 p.m
Venue: Academic Lecture Hall (B1 Floor), High-End Technology Building, East Campus, BUCT
Abstract:
Mr. Du Xiaojun, drawing on the practical experience of East Lake Big Data in relevant fields, elaborated on the full-chain methodology—the Five-Step Approach—for advancing data from resourceization to assetization and even to capitalization.
The report will focus on the specific application of this methodology in the healthcare sector, a representative characteristic industry. It will explore: how to build high-quality, compliant datasets covering the entire lifecycle from R&D, clinical trials and manufacturing to marketing; how to leverage data fusion and cognitive computing technologies to accelerate target discovery, optimize clinical trial protocols, and achieve precise market insights; and ultimately, how high-quality datasets serve as a core engine for improving healthcare translation efficiency, reducing R&D risks, and fostering new business formats.
Mr. Du will also share cutting-edge cases to demonstrate that data elements are not merely technical tools, but also strategic resources that reshape the healthcare industry ecosystem. His presentation will provide attendees with a clear, actionable pathway to empower industrial upgrading through data.
Biography:
Mr. Du Xiaojun is the Founder of Wuhan East Lake Big Data Technology Co., Ltd. and Chairman of Data Dimension Kun Technology (Beijing) Co., Ltd.
As a seasoned practitioner with years of in-depth experience in big data and artificial intelligence, he has previously held positions at renowned enterprises including Sina, China Mobile and Huawei, where he developed profound expertise in technology industrialization and market operations. Since founding East Lake Big Data in 2015, he has remained committed to cutting-edge explorations in data element assetization operations and precision industrial chain investment promotion. His groundbreaking efforts have not only served nearly 50 listed companies, but also actively advanced the construction and development of the data element ecosystem.