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Data Problem Stalling AI
Data accessibility has emerged as a challenge in taking AI out of the lab and into the business. Although it is often treated as an IT problem, in reality it is a management problem aggravated by misconceptions about the nature and the role of data accessibility in AI.
| Otros Autores: | |
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| Formato: | Electrónico eBook |
| Idioma: | Indeterminado |
| Publicado: |
[S.l.] :
MIT Sloan Management Review,
2020.
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| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 0 | 0 | |a Data Problem Stalling AI |h [electronic resource] / |c Ann-Frances Cameron ... [et. al.]. |
| 260 | |a [S.l.] : |b MIT Sloan Management Review, |c 2020. | ||
| 300 | |a 1 online resource | ||
| 500 | |a Title from content provider. | ||
| 520 | |a Data accessibility has emerged as a challenge in taking AI out of the lab and into the business. Although it is often treated as an IT problem, in reality it is a management problem aggravated by misconceptions about the nature and the role of data accessibility in AI. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 700 | 1 | |a Cameron, Ann-Frances. | |
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