Artificial intelligence applied to risk management
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20190033855 | ||
| 003 | MAP | ||
| 005 | 20220911191204.0 | ||
| 008 | 170705e20191213bel||||fs 001 u eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a7 | ||
| 245 | 0 | 0 | $aArtificial intelligence applied to risk management |
| 260 | $aBrussels$bFederation of European Risk Management Associations $c2019 | ||
| 300 | $a32 p. | ||
| 520 | $aThis paper aims to guide risk managers on applying AI. It goes from basic learning to identifying new risks and developing their own strategy on how to take the next steps regarding the implementation of AI. The basics of AI are explained with an emphasis on its requirements and its limits | ||
| 650 | 4 | $0MAPA20080591182$aGerencia de riesgos | |
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080617141$aIdentificación de riesgos | |
| 710 | 0 | $0MAPA20080433390$aFERMA |