The 4th International Conference on Digitalization and Management Innovation (DMI2025)

Abstract: Scientific AI, focusing on mining hidden patterns from objective data to advance scientific discovery, has revolutionized meteorology by overcoming the limitations of traditional physics-based numerical weather prediction models. For instance, AI-driven models like Pangu-Weather and FuXi leverage multi-source meteorological data (over 60TB daily) and architectures like 3D Transformers to achieve up to hundreds of times faster mid-range forecasting with 10%-20% lower errors than ECMWF's IFS, demonstrating breakthroughs in both efficiency and accuracy. This paradigm shift offers critical lessons for business intelligence (BI): cross-domain data fusion (e.g., integrating meteorological data with agriculture or energy sectors), uncertainty quantification through probabilistic modeling, and the integration of physical constraints (e.g., Navier-Stokes equations) to enhance predictive reliability. As seen in China’s AI Meteorology Application Plan, the collaboration among academia, industry, and government has fostered innovations in disaster monitoring (e.g., sea fog detection) and global forecasting, paving the way for BI to evolve from descriptive analysis to proactive, physics-informed decision optimization across sectors like finance, supply chain, and smart cities. Future directions include Earth-system-level AI modeling, explainable AI frameworks, and scalable solutions for extreme weather prediction, solidifying Scientific AI as a cornerstone for both meteorological advancement and intelligent business transformation.

Biography: Zhang Chuang is member of the Standing Committee of the Party Committee and vice president of Beijing Wuzi University, adjunct professor and doctoral supervisor of the School of Artificial Intelligence at Beijing University of Posts and Telecommunications. He has served as the director of the Information Technology Center of Beijing University of Posts and Telecommunications, executive vice president of the School of Continuing Education, dean of the School of Network (Continuing) Education, and dean of the School of Emergency Management. He is an executive member of the Data Governance of the China Computer Federation (CCF), a member of IEEE/ACM, a member of the Intelligent Service Special Committee of the Chinese Association for Artificial Intelligence (CAAI), and a member of the Artificial Intelligence Special Committee of the China Meteorological Society.