FT商学院

Tomorrow’s financiers are learning to think like machines
未来的金融家正在学习像机器一样思考

Business schools are redesigning their curricula to produce graduates who interpret machine learning models, and make critical decisions in data-rich environments
商学院正在重新设计课程,旨在培养能够解读机器学习模型,并能在数据丰富环境中做出关键决策的毕业生。
At HEC Paris, future financial leaders learn to decode machine learning models and navigate complex, data-rich decisions

The world of finance has evolved beyond spreadsheets and human judgment. In today’s markets, many finance roles now involve navigating vast data sets, interpreting machine learning outputs, and making sense of AI-generated forecasts. Business schools are responding with programmes and modules designed to produce not only technically skilled analysts, but professionals who can critically understand and assess data-driven insights with greater confidence and accuracy.

金融行业已经超越了电子表格和人工判断。在当今的金融市场,许多金融岗位需要处理海量数据集,解读机器学习的输出结果,并理解人工智能生成的预测。商学院也在积极应对,开设相关课程和模块,旨在培养不仅具备技术能力的分析师,还能以更高的信心和准确性,批判性地理解和评估数据驱动洞见的专业人才。

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