FT商學院

Tomorrow’s financiers are learning to think like machines
未來的金融家正在學習像機器一樣思考

Business schools are redesigning their curricula to produce graduates who interpret machine learning models, and make critical decisions in data-rich environments
商學院正在重新設計課程,旨在培養能夠解讀機器學習模型,並能在數據豐富環境中做出關鍵決策的畢業生。
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.

金融行業已經超越了電子表格和人工判斷。在當今的金融市場,許多金融崗位需要處理海量數據集,解讀機器學習的輸出結果,並理解人工智慧生成的預測。商學院也在積極應對,開設相關課程和模塊,旨在培養不僅具備技術能力的分析師,還能以更高的信心和準確性,批判性地理解和評估數據驅動洞見的專業人才。

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