Experts share AI-driven governance cases at Big Data Expo 2025

Experts share practical cases of AI-driven governance. [Photo/ddcpc website]

Scholars from Renmin University of China and practitioners of digital transformation in public resource trading showcased their AI implementation experience at the Big Data Expo 2025's smart government and public resource trading governance exchange event, held on Aug 27 in Guiyang, capital of Southwest China's Guizhou province.

The event introduced a smart governance large model, jointly developed by Renmin University's School of Smart Governance and Suzhou AI Academy. Currently integrating over 300 smart governance cases from 137 cities, the model utilizes AI for deep data mining of case texts.

Based on knowledge graph technology, it enables deep correlation and knowledge discovery of different cases, laying a crucial foundation for building generative AI models with complex governance cognition.

Tu Yonghong, director of Renmin University's Yangtze River Economic Belt Research Institute, presented the "High-Quality Development Map Report of the Yangtze River Economic Belt", offering recommendations for urban development across six aspects: industrial growth, technological innovation, financial support, ecological security, talent-friendliness, and territorial planning.

Jiang Tipei, Party secretary and director of Guizhou Provincial Public Resource Trading Center, shared "Digital Intelligence Empowers New Trading Practices", focusing on data, scenarios, and systems.

He highlighted Guizhou's recent efforts to build a province-wide integrated network for public resource trading, solidifying its digital transformation data foundation. AI applications in bidding have focused on compliance checks, AI-assisted evaluation, and AI-enhanced supervision, paving a practical path for platform digitization.