Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/10852
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ransbotham, Sam | - |
dc.contributor.author | Khodabandeh, Shervin | - |
dc.contributor.author | Kiron, David | - |
dc.contributor.author | Candelon, François | - |
dc.contributor.author | Chu, Michael | - |
dc.contributor.author | LaFountain, Burt | - |
dc.date.accessioned | 2022-01-31T05:47:28Z | - |
dc.date.available | 2022-01-31T05:47:28Z | - |
dc.date.issued | 2020-10 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/10852 | - |
dc.language.iso | en | en_US |
dc.publisher | MIT Sloan Management Review | en_US |
dc.subject | FINDINGS FROM THE 2020 ARTIFICIAL INTELLIGENCE GLOBAL EXECUTIVE STUDY AND RESEARCH PROJECT | en_US |
dc.title | Expanding AI’s Impact With Organizational Learning | en_US |
dc.type | Article | en_US |
dc.journal | MIT Sloan Management Review | en_US |
dc.page | 19p. | en_US |
Appears in Collections: | McKinsey Reports |
Files in This Item:
File | Description | Size | Format | |
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MITSMR-BCG-Report-2020-Expanding AI impact with.pdf | 549.22 kB | Adobe PDF | View/Open |
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