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221122s2022 xx o 000 0 eng d |
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|d OCLCF
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|a 53863MIT64214
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|b 000072953972
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|a (OCoLC)1351518070
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|a 53863MIT64214
|b O'Reilly Media
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|a 658.5/14
|2 23/eng/20221122
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|a UAMI
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|a Davenport, Thomas H.,
|d 1954-
|e author.
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|a What machines can't do (yet) in real work settings /
|c Thomas H. Davenport, Steven M. Miller.
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|a What machines cannot do (yet) in real work settings
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250 |
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|a [First edition].
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|a [Place of publication not identified] :
|b MIT Sloan Management Review,
|c 2022.
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|a 1 online resource (7 pages)
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|a text
|b txt
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|2 rdamedia
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|a online resource
|b cr
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|a There is no impending threat of large-scale automation and displacement of human labor on the horizon. That's the conclusion reached by the authors after reviewing the research around smart machines in workplaces, and speaking with leaders in hundreds of organizations. In an adaption of their book Working With AI: Real Stories of Human-Machine Collaboration, they lay out where they see limitations of AI in the workplace and where practitioners can expect job continuity for the immediate future.
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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|a Technological innovations
|x Management.
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650 |
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|a Organizational change.
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650 |
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7 |
|a Organizational change.
|2 fast
|0 (OCoLC)fst01047828
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650 |
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7 |
|a Technological innovations
|x Management.
|2 fast
|0 (OCoLC)fst01145035
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700 |
1 |
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|a Miller, Steven M.,
|d 1956-
|e author.
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856 |
4 |
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|u https://learning.oreilly.com/library/view/~/53863MIT64214/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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|a 92
|b IZTAP
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