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This research investigates how artificial intelligence (AI) influences business decision-making, utilizing decision trees and random forest regression models for an in-depth analysis. By analyzing enterprise data, the study identifies that certain AI functions, especially decision support systems, along with AI usage and resource investment, significantly impact business decisions. Furthermore, previous decision-making experiences play a pivotal role in shaping outcomes. The random forest regression model enhances predictive accuracy, uncovering the intricate relationships between different factors. Ultimately, this study aims to offer businesses more efficient tools and actionable guidance to navigate the evolving challenges and opportunities in the digital landscape, demonstrating AI’s valuable potential in the business sector.

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Research on Business Decision Prediction Model from the Perspective of the Digital Economy: Based on Artificial Intelligence Technology

  • 会议论文

  • 发表日期：

    2025年

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  • Ling Peng,
  • Ling Lu

摘要

This research investigates how artificial intelligence (AI) influences business decision-making, utilizing decision trees and random forest regression models for an in-depth analysis. By analyzing enterprise data, the study identifies that certain AI functions, especially decision support systems, along with AI usage and resource investment, significantly impact business decisions. Furthermore, previous decision-making experiences play a pivotal role in shaping outcomes. The random forest regression model enhances predictive accuracy, uncovering the intricate relationships between different factors. Ultimately, this study aims to offer businesses more efficient tools and actionable guidance to navigate the evolving challenges and opportunities in the digital landscape, demonstrating AI’s valuable potential in the business sector.