Urban vital signs serve as a key basis for assessing a city’s health and operational status. From monitoring to comprehensive assessments, they enable a holistic understanding of a city’s operational indicators and trends, as well as intelligent forecasting of future developments, thereby continuously enhancing the intelligence and effectiveness of urban governance.

We will closely adhere to the reform objectives of “combining deregulation with regulation, easing market entry while enforcing strict oversight, and optimizing services.” By leveraging big data and artificial intelligence technologies, we will refine the two systems—“regulatory support” and “public services”—to establish a big data service and regulatory platform for industry and commerce that features a scientifically structured, flexibly scalable, highly integrated, and robustly supported architecture.

Global economic growth has slowed significantly, and China’s economic development has entered a “new normal” phase characterized by a shift toward higher-quality growth. Regional industrial macroeconomic big data aims to utilize artificial intelligence technology to build an economic analysis model for industrial operation monitoring platforms, thereby providing decision-making support to regulatory authorities.

Based on the bank’s internal credit card customer information, transaction data, statements, and delinquency records, we use a variety of models to uncover the underlying patterns in the data, build a model to identify defaulting customers, and predict customer default rates.

Building on the data from energy and power production, data centers, and the “6+1” system data storage, this initiative enables the extraction of value from business data—including production, marketing, finance, and human resources—and supports decision-making.