| 000 | 03780nam a2200673 i 4500 | ||
|---|---|---|---|
| 001 | 9781949443523 | ||
| 003 | BEP | ||
| 005 | 20241023114919.0 | ||
| 006 | m eo d | ||
| 007 | cr cn |||m|||a | ||
| 008 | 190417s2020 nyua fob 001 0 eng d | ||
| 020 |
_a9781949443523 _qe-book |
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| 035 | _a(OCoLC)1144868722 | ||
| 035 | _a(CaBNVSL)slc00000350 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
| 050 | 4 | _aQ335 | |
| 100 | 1 |
_aAddo, Archie, _eauthor. |
|
| 245 | 1 | 0 |
_aArtificial intelligence for risk management / _cArchie Addo, Srini Centhala, and Muthu Shanmugam. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aNew York, New York (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c[(c)2020.] |
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| 300 |
_a1 online resource (vi, 150 pages) : _billustrations (some color) |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_adata file _2rda |
||
| 490 | 1 |
_aBusiness law and corporate risk management collection, _x2333-6730 |
|
| 504 | _aIncludes bibliographical references (pages 135-144) and index. | ||
| 505 | 0 |
_aChapter 1. Introduction -- _tChapter 2. Introduction to artiļ¬cial intelligence -- _tChapter 3. Introduction to risk -- _tChapter 4. Knowledge base -- _tChapter 5. AI solutions for risk -- _tChapter 6. Identify risk or treat model -- _tChapter 7. Risk categorization/classification model -- _tChapter 8. Predicting risk impact score model -- _tChapter 9. Risk probability occurrence model -- _tChapter 10. Risk priority model -- _tChapter 11. Conclusion. |
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| 506 | _aAccess restricted to authorized users and institutions. | ||
| 520 | 3 | _aArtificial Intelligence (AI) for risk management is about using AI to manage risk in the corporate environment. The content of this work focuses on concepts, principles, and practical applications that are relevant to the corporate and technology environments. The authors introduce AI and discuss the different types, capabilities, and purposes--including challenges. With AI also comes risk. This book defines risk, provides examples, and includes information on the risk-management process. Having a solid knowledge base for an AI project is key and this book will help readers define the knowledge base needed for an AI project by developing and identifying objectives of the risk-knowledge base and knowledge acquisition for risk. This book will help you become a contributor on an AI team and learn how to tell a compelling story with AI to drive business action on risk | |
| 530 |
_a2 _ub |
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| 530 | _aAlso available in printing. | ||
| 538 | _aMode of access: World Wide Web. | ||
| 538 | _aSystem requirements: Adobe Acrobat reader. | ||
| 588 | _aDescription based on PDF viewed 03/14/2020. | ||
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aRisk assessment. | |
| 650 | 0 | _aManagement information systems. | |
| 650 | 0 | _aBusiness intelligence. | |
| 653 | _aProject management. | ||
| 653 | _aConstruction management. | ||
| 653 | _aProgram management. | ||
| 653 | _aSkills development. | ||
| 653 | _aRisk. | ||
| 653 | _aArtificial intelligence. | ||
| 653 | _aAnalytics. | ||
| 653 | _aML. | ||
| 653 | _aMitigation. | ||
| 653 | _aPerformance review. | ||
| 653 | _aData science, and business intelligence. | ||
| 655 | 0 | _a[genre] | |
| 655 | 0 | _aElectronic books. | |
| 700 | 1 |
_aCenthala, Srini, _eauthor. |
|
| 700 | 1 |
_aShanmugam, Muthu, _eauthor. |
|
| 776 | 0 | 8 |
_iPrint version: _z9781949443516 |
| 830 | 0 |
_aBusiness law and corporate risk management collection, _x2333-6730 |
|
| 856 | 4 | 0 | _uhttps://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000964.html |
| 942 |
_2lcc _bCIU _cOB _eBEP _QOL _zBEP9781949443523 |
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| 999 |
_c72730 _d72730 |
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| 902 |
_c1 _dCynthia Snell |
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