企业数智化中的AI技术应用与挑战

AI Technology Applications and Challenges in Enterprise Digital Intelligence

摘要: 随着人工智能(AI)成为企业数智化转型的核心驱动力，本文分析了其在智能生产、智慧营销、供应链及管理决策等关键场景的应用，阐明了其通过数据驱动与智能决策提升运营效率、促进模式创新的作用机制。研究发现，AI规模化应用面临数据质量、模型可解释性、系统集成等技术挑战，以及战略协同、组织文化、人才储备、伦理与合规等管理障碍。研究指出，AI将向融合化、平台化与治理标准化演进，推动企业向人机协同的智能组织转型；企业应构建战略实施路径，夯实数据根基、培养人才、完善治理，以实现可持续的数智化发展。

Abstract: As artificial intelligence (AI) emerges as the core driving force behind enterprise digital and intelligent transformation, this paper analyzes its application in key scenarios such as intelligent production, smart marketing, supply chain, and management decision-making. It clarifies the mechanisms through which AI enhances operational efficiency and promotes model innovation via data-driven approaches and intelligent decision-making. The study finds that the large-scale application of AI faces technical challenges including data quality, model interpretability, and system integration, as well as managerial obstacles such as strategic alignment, organizational culture, talent reserves, and ethical and compliance concerns. The research indicates that AI will evolve towards integration, platformization, and governance standardization, driving enterprises towards intelligent organizations characterized by human-machine collaboration. Enterprises should construct strategic implementation pathways, solidify data foundations, cultivate talent, and improve governance to achieve sustainable digital and intelligent development.