Artificial intelligence for risk management:
Chapter 1. Introduction -- Chapter 2. Introduction to artificial 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...
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| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, New York (222 East 46th Street, New York, NY 10017)
Business Expert Press
2020
|
| Edition: | First edition |
| Series: | Business law and corporate risk management collection
|
| Subjects: | |
| Online Access: | FHN01 UBY01 Volltext |
| Summary: | Chapter 1. Introduction -- Chapter 2. Introduction to artificial 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 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 |
| Item Description: | Includes bibliographical references (pages 135-144) and index |
| Physical Description: | 1 Online-Ressource (vi, 150 pages) |
| ISBN: | 9781949443523 9781949443516 |
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| spelling | Addo, Archie Verfasser aut Artificial intelligence for risk management Archie Addo, Srini Centhala, and Muthu Shanmugam First edition New York, New York (222 East 46th Street, New York, NY 10017) Business Expert Press 2020 1 Online-Ressource (vi, 150 pages) txt rdacontent c rdamedia cr rdacarrier Business law and corporate risk management collection Includes bibliographical references (pages 135-144) and index Chapter 1. Introduction -- Chapter 2. Introduction to artificial 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 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 Artificial intelligence Risk assessment Management information systems Business intelligence Electronic books Centhala, Srini aut Shanmugam, Muthu aut Erscheint auch als Druck-Ausgabe 9781949443516 https://portal.igpublish.com/iglibrary/search/BEPB0000964.html Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Addo, Archie Centhala, Srini Shanmugam, Muthu Artificial intelligence for risk management Artificial intelligence Risk assessment Management information systems Business intelligence |
| title | Artificial intelligence for risk management |
| title_auth | Artificial intelligence for risk management |
| title_exact_search | Artificial intelligence for risk management |
| title_exact_search_txtP | Artificial intelligence for risk management |
| title_full | Artificial intelligence for risk management Archie Addo, Srini Centhala, and Muthu Shanmugam |
| title_fullStr | Artificial intelligence for risk management Archie Addo, Srini Centhala, and Muthu Shanmugam |
| title_full_unstemmed | Artificial intelligence for risk management Archie Addo, Srini Centhala, and Muthu Shanmugam |
| title_short | Artificial intelligence for risk management |
| title_sort | artificial intelligence for risk management |
| topic | Artificial intelligence Risk assessment Management information systems Business intelligence |
| topic_facet | Artificial intelligence Risk assessment Management information systems Business intelligence |
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