MIT SMR & 波士顿咨询:2024年人工智能与商业策略报告:组织学习与AI学习结合下的不确定性管理报告(英文版)(29页).pdf

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MIT SMR & 波士顿咨询:2024年人工智能与商业策略报告:组织学习与AI学习结合下的不确定性管理报告(英文版)(29页).pdf

1、In collaboration withNovember 2024Learning to Manage Uncertainty,With AIby Sam Ransbotham,David Kiron,Shervin Khodabandeh,Michael Chu,and Leonid ZhukhovAUTHORSSam Ransbotham is a professor of analytics at the Carroll School of Management at Boston College,as well as guest editor for MIT Sloan Manage

2、ment Reviews Artificial Intelligence and Business Strategy Big Ideas initiative.David Kiron is the editorial director,research,of MIT Sloan Management Review and program lead for its Big Ideas research initiatives.Shervin Khodabandeh is a senior partner and managing director at Boston Consulting Gro

3、up(BCG)and the coleader of its AI business in North America.He is a leader in BCG X and has over 20 years of experience driving business impact from AI and digital.He can be contacted at .Michael Chu is a vice president of data science at BCG,where he focuses on applying AI and machine learning to b

4、usiness problems in commercial functions,including optimizing pricing,promotions,sales,and marketing.He can be reached at .Leonid Zhukhov is a vice president of data science at BCG and leads the Tech&Biz Lab at the BCG Henderson Institute.He leads the design and build of AI and machine learning solu

5、tions for BCG clients across a range of sectors.He can be reached at .CONTRIBUTORSFranois Candelon,Todd Fitz,Kevin Foley,Sarah Johnson,Michele Lee DeFilippo,Meenal Pore,Namrata Rajagopal,Allison Ryder,Barbara Spindel,and David Zuluaga MartnezThe research and analysis for this report was conducted un

6、der the direction of the authors as part of an MIT Sloan Management Review research initiative in collaboration with and sponsored by Boston Consulting Group.To cite this report,please use:S.Ransbotham,D.Kiron,S.Khodabandeh,M.Chu,and L.Zhukov,“Learning to Manage Uncertainty,With AI,”MIT Sloan Manage

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