Research on the Optimization of Jiangsu Province Talent Policy Under the Background of Digital Economy: A Comparative Analysis of Shenzhen's Talent Policy Based on Machine Learning Models

Abstract

Under the background of digital economy, big data, visual analysis and intelligent technology are deeply applied in regional policy formulation. As a leading demonstration area of domestic talent policy, Shenzhen has successfully attracted a large number of talents through its policy of ' speed, strength and richness '. This study focuses on the talent policy, uses interview research, carries out detailed policy text analysis with the help of the powerful function of the big language model, analyzes the highlights of Shenzhen 's talent policy from the aspects of talent introduction, talent cultivation and talent service, and further puts forward the talent policy of Jiangsu Province based on the benchmark of Shenzhen from the four aspects of talent introduction, cultivation, incentive and service. Based on the guiding ideology of accelerating the construction of the world 's important talent center and innovation highland, this paper puts forward the countermeasures and suggestions for the optimization of Jiangsu's talent policy under the background of digital economy from the aspects of talent introduction, talent cultivation, talent utilization and talent service. The research conclusions provide reference for promoting the formation of a more competitive talent policy environment in Jiangsu 's digital economy.