Against the backdrop of the booming digital economy, the working environment of grassroots statistics has undergone significant changes. Faced with challenges such as the explosive growth of massive statistical data and diversified analytical demands, improving the efficiency of grassroots statistical data processing and the depth of analysis has become the primary goal of current reforms. The innovative development of artificial intelligence (AI) technology has brought more possibilities for the innovation of grassroots statistical analysis methods in the new era. This paper focuses on the application of AI technology in the innovation of grassroots statistical analysis methods. Based on an analysis of the main pain points in current grassroots statistical analysis methods, it proposes effective paths to promote the innovation of grassroots statistical analysis methods, aiming to provide a reference for relevant work.
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