Getting AI results by "going pro"
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| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20210020001 | ||
| 003 | MAP | ||
| 005 | 20230321113831.0 | ||
| 008 | 210617e20210924gbr|||| | ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a922.134 | ||
| 245 | 1 | 0 | $aGetting AI results by "going pro" |
| 260 | $aLondon$bAccenture$c2020 | ||
| 300 | $a10 p. | ||
| 520 | $aArtificial Intelligence (AI) is a high-stakes business priority, with companies spending $306 billion on AI applications in the past three years. Companies that scale AI across a business can achieve nearly triple the return from their investments. But too many companies aren't achieving the value they expected. | ||
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080586546$aNuevas tecnologías | |
| 650 | 4 | $0MAPA20170006503$aTransformación digital | |
| 650 | 4 | $0MAPA20080546991$aEmpresas | |
| 710 | 2 | $0MAPA20080436353$aAccenture |