太平石化金融租赁陈玉哲：成为数字金融的应答者

Group 1 - The core viewpoint of the articles highlights the shift in China's industrial iteration from "factor-driven" to "innovation-driven," necessitating an upgrade in the demand for financing leasing to "full lifecycle services" and a comprehensive enhancement of total factor productivity [1] - The financing leasing business is characterized by "non-standardization," with diverse and high-value leasing objects, leading to increased management costs and stringent regulations, making traditional management models inadequate [1] - Chen Yuzhe's approach to breaking through these challenges involves establishing a digital architecture that covers the entire business chain, facilitating the digital transformation of the industry with a replicable "Taiping Petrochemical Plan" [1] Group 2 - Embracing AI to achieve "one-click" support for leasing business management is essential, as the industry faces challenges such as uncomprehensive tenant risk management, high leasing property management risks, and increased compliance risks due to a growing supply chain [3] - Chen Yuzhe's team integrates technologies like RPA, OCR, large language models, and big data into the entire process, creating an "one-click" intelligent support system that significantly enhances efficiency in parsing complex financial reports [3] - The establishment of a data governance system led by Chen Yuzhe aims to standardize complex leasing processes and improve data timeliness, completeness, and usability while ensuring data security [3][4] Group 3 - The digital architecture constructed by Chen Yuzhe's team reflects the industry's needs rather than merely being a technical stack, showcasing a data governance strategy that combines "governance and application" [5] - The integration of AI with leasing has transitioned from backend support to a driving force, addressing traditional pain points in heavy asset leasing management while adapting to new demands for greening, inclusivity, internationalization, and intelligence [5]