用AI把用户意图直接变代码和图表，让数据分析更智能高效。
Data Analysis in the Era of Generative AI
- 用大模型将用户自然语言指令转为可执行代码与可视化
- 强调人机协作设计，提升交互直观性与信任感
- 适合数据分析师、产品经理等非编程人群快速分析
本文探讨了生成式AI工具重塑数据分析的潜力，重点关注设计考量与挑战。随着大型语言模型和多模态模型的兴起，它们为数据分析全流程提供了新机遇，能够将用户的高层次意图转化为可执行代码、图表与洞察。文章进一步研究以用户为中心的设计原则，促进直观交互、建立用户信任，并在多个应用中优化AI辅助分析流程。最后，讨论了阻碍此类系统发展的关键研究挑战，包括提升模型能力、评估与基准测试，以及深入理解终端用户需求。
原文摘要 · Abstract (English)
This paper explores the potential of AI-powered tools to reshape data analysis, focusing on design considerations and challenges. We explore how the emergence of large language and multimodal models offers new opportunities to enhance various stages of data analysis workflow by translating high-level user intentions into executable code, charts, and insights. We then examine human-centered design principles that facilitate intuitive interactions, build user trust, and streamline the AI-assisted analysis workflow across multiple apps. Finally, we discuss the research challenges that impede the development of these AI-based systems such as enhancing model capabilities, evaluating and benchmarking, and understanding end-user needs.
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