LEADER 00000nam a2200805   4500 
001    BEP9781949443523 
003    BEP 
005    20190417111955.0 
006    m    eo  d         
007    cr cn |||m|||a 
008    190417s2020    nyua   fob    001 0 eng d 
020    9781949443523|qe-book 
020    |z9781949443516|qprint 
035    (OCoLC)1144868722 
035    (CaBNVSL)slc00000350 
040    CaBNVSL|beng|erda|cCaBNVSL|dCaBNVSL 
049    RIDW 
050  4 Q335|b.A33 2020eb 
082 04 006.3|223 
090    Q335|b.A33 2020eb 
100 1  Addo, Archie,|eauthor. 
245 10 Artificial intelligence for risk management /|cArchie Addo,
       Srini Centhala, and Muthu Shanmugam. 
250    First edition. 
264  1 New York, New York (222 East 46th Street, New York, NY 
       10017) :|bBusiness Expert Press,|c2020. 
300    1 online resource (vi, 150 pages) :|billustrations (some 
       color). 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc 
347    text file|2rdaft 
490 1  Business law and corporate risk management collection,
       |x2333-6730 
504    Includes bibliographical references (pages 135-144) and 
       index. 
505 0  Chapter 1. Introduction -- Chapter 2. Introduction to 
       arti̐Ơѓcial intelligence -- Chapter 3. Introduction to 
       risk -- Chapter 4. Knowledge base -- Chapter 5. AI 
       solutions for risk -- Chapter 6. Identify risk or treat 
       model -- Chapter 7. Risk categorization/classification 
       model -- Chapter 8. Predicting risk impact score model -- 
       Chapter 9. Risk probability occurrence model -- Chapter 
       10. Risk priority model -- Chapter 11. Conclusion. 
506    Access restricted to authorized users and institutions. 
520 3  Artificial 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    Also available in print. 
538    Mode of access: World Wide Web. 
538    System requirements: Adobe Acrobat reader. 
561    Purchased with the Phippen Library Fund. 
588    Description based on PDF viewed 03/14/2020. 
650  0 Artificial intelligence.|0https://id.loc.gov/authorities/
       subjects/sh85008180 
650  0 Risk assessment.|0https://id.loc.gov/authorities/subjects/
       sh87002638 
650  0 Management information systems.|0https://id.loc.gov/
       authorities/subjects/sh85080359 
650  0 Business intelligence.|0https://id.loc.gov/authorities/
       subjects/sh85018300 
650  7 Artificial intelligence.|2fast|0https://id.worldcat.org/
       fast/817247 
650  7 Risk assessment.|2fast|0https://id.worldcat.org/fast/
       1098146 
650  7 Management information systems.|2fast|0https://
       id.worldcat.org/fast/1007271 
650  7 Business intelligence.|2fast|0https://id.worldcat.org/fast
       /842723 
653    Project management. 
653    Construction management. 
653    Program management. 
653    Skills development. 
653    Risk. 
653    Artificial intelligence. 
653    Analytics. 
653    ML. 
653    Mitigation. 
653    Performance review. 
653    Data science, and business intelligence. 
655  0 Electronic books. 
700 1  Centhala, Srini,|eauthor. 
700 1  Shanmugam, Muthu,|eauthor. 
776 08 |iPrint version:|z9781949443516 
830  0 Business law and corporate risk management collection,.
       |x2333-6730 
856 40 |uhttps://rider.idm.oclc.org/login?url=https://
       portal.igpublish.com/iglibrary/search/BEPB0000964.html
       |zOnline ebook via BEP. Access restricted to current Rider
       University students, faculty, and staff. 
901    MARCIVE 20231220 
948    |d20220401|tBEP reload 277|lridw 
948    |d20210525|cBEP|tBEP2021initial 229|lridw