Sub-theme
5. Establishing Sustainable Water Infrastructures
Topic
5-4. Intelligent business application system for water regulation and management
Body
I. Objective or Central Argument of the Presentation The primary objective of this presentation is to rigorously examine the potential and feasibility of employing large-scale Artificial Intelligence (AI) models to address long-standing challenges in the water management sector. Specifically, the focus is on overcoming issues related to the accumulation of experiential knowledge and its generalization, with the overarching goal of bringing innovative solutions to the realm of water governance and management. II. Key Issues Addressed 1.Water management is a multifaceted engineering endeavor that requires a comprehensive approach, integrating natural elements, infrastructural assets, human involvement, and considerations for both social and economic benefits. The complex interplay among these diverse elements presents formidable challenges, particularly at the decision-making level. 2.The digital transformation journey in water management is not merely about basic tasks such as data collection, processing, and visualization. In the medium to long term, the focus must also extend to enhancing the system's capabilities in judgment and decision-making, thereby elevating the effectiveness and efficiency of water management practices. 3.Information systems in this sector should not be conceived as static or unidirectional networks. Instead, they must be designed to iteratively refine and accumulate policy models, demonstrating both scalability and generalizability to adapt to changing conditions and requirements. III. Methodological Approach The methodology employs large-scale AI models, including but not limited to generative and role-based AI architectures, to construct a digital and intelligent ecosystem. The linchpin of this ecosystem is a bi-directional, human-machine collaborative network. These advanced AI models facilitate the development of a robust, adaptive system that not only grows but also generalizes its capabilities, thereby providing sustainable, long-term solutions for regional water resource and safety issues. IV. Conclusions and Implications Artificial Intelligence stands on the cusp of revolutionizing the field of intelligent water management. Xi'an Xunteng Technology and Fourth Paradigm, a leading AI company in China, are engaged in deep collaboration to explore and innovate in this domain. Their concerted efforts are geared towards the development of the industry's first generative AI model. This initiative aligns with the broader vision of "utilizing AI technology to empower efficient governance systems, thereby fostering a harmonious and green developmental relationship between humans and water resources, contributing to the realization of a resplendent China.