Core Insights - The Central Commission for Discipline Inspection and the National Supervisory Commission held the first Smart Modeling Competition for supervision and case handling, with 161 entries from 88 units of the China National Petroleum Corporation (CNPC) [1] - The competition aimed to integrate smart technologies into disciplinary inspection and supervision, addressing challenges such as hidden bidding violations and large data processing [1][2] - The CNPC's disciplinary inspection team is advancing a digital supervision system, including a big data resource center and multiple digital platforms, to enhance governance efficiency [2] Group 1 - The competition focused on practical needs across 16 business areas, including oil and gas sales and procurement, utilizing data capture, machine learning, and natural language processing [1] - The initiative aims to shift supervision from a reactive to a proactive approach, enhancing the ability to identify issues through data analysis [1][2] - The CNPC is implementing a comprehensive digital disciplinary inspection system, with a plan for 2023-2027 to improve governance effectiveness [2] Group 2 - The competition serves as a training platform to build a high-quality talent pool in data application for disciplinary inspection [3] - Participants are encouraged to learn and apply big data analysis tools, enhancing their capabilities in supervision and investigation [3] - Future efforts will focus on practical application of developed models, promoting data integration across various supervisory functions [3][4]