经侦战场的“数据捕手”

Core Viewpoint - The article highlights the innovative use of big data and artificial intelligence in combating economic crimes in Shanghai, showcasing the development of the "full-scenario fund analysis intelligent system" by Gong Chen, which significantly enhances the efficiency of financial crime investigations [1][4]. Group 1: Development of Technology - Gong Chen initiated self-learning in programming to address inefficiencies in financial data analysis, leading to the creation of a "fund data cleaning tool" that reduced analysis time from 7 days to 4 days [3]. - The tool evolved into the "full-scenario fund analysis intelligent system," which further decreased analysis time to just 30 seconds, earning recognition in a national police technology innovation competition [3][4]. Group 2: Risk Management - The "enterprise risk warning model" was developed to identify potential risks among over 3 million businesses in Shanghai, transitioning from reactive crime fighting to proactive risk management [5]. - The model successfully issued a warning about a 54.41% increase in "one-day fake" shell companies, allowing for early intervention and a 98.6% reduction in the monthly growth of such companies [5]. Group 3: Specific Case Studies - The model was optimized to address scams targeting the elderly, leading to the identification of a company involved in a deceptive investment scheme that affected thousands of investors [7]. - Quick action by law enforcement, based on model predictions, prevented the transfer of illicit funds and resulted in the closure of high-risk enterprises, achieving an over 80% risk blockage rate [7].