A Guide to intelligent automation
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20210009600 | ||
| 003 | MAP | ||
| 005 | 20220911211029.0 | ||
| 008 | 130208s2021 usa|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a214 | ||
| 245 | 1 | 2 | $aA Guide to intelligent automation |
| 260 | $aNew York [etc.]$bBlue Prism $c2021 | ||
| 300 | $a9 p. | ||
| 520 | $aFor insurance companies, the most compelling results from intelligent automation tend to come from business functions on the coal face those that directly impact the customer and the bottom line, such as claims, underwriting and customer service. However, there is complex connective tissue between every function in an insurance business, from policy handling to IT and HR, often supported by a diverse network of legacy systems. | ||
| 650 | 4 | $0MAPA20080590567$aEmpresas de seguros | |
| 650 | 4 | $0MAPA20080568009$aAutomatización | |
| 650 | 4 | $0MAPA20140022717$aBig data | |
| 650 | 4 | $0MAPA20080586331$aMétodos analíticos | |
| 710 | 2 | $0MAPA20210004957$aBlue Prism |