Artificial intelligence for risk management /Archie Addo, Srini Centhala, and Muthu Shanmugam.
Addo, Archie,
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, (c)2020. - 1 online resource (vi, 150 pages) : illustrations (some color) - Business law and corporate risk management collection, .
Includes bibliographies and index.
Chapter 1. Introduction -- Chapter 2. Introduction to artiļ¬cial 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
Mode of access: World Wide Web.
System requirements: Adobe Acrobat reader.
9781949443523
Artificial intelligence.
Risk assessment.
Management information systems.
Business intelligence.
Project management. Construction management. Program management. Skills development. Risk. Artificial intelligence. Analytics. ML. Mitigation. Performance review. Data science, and business intelligence.
Electronic books.
Q335 / .A785 2020
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, (c)2020. - 1 online resource (vi, 150 pages) : illustrations (some color) - Business law and corporate risk management collection, .
Includes bibliographies and index.
Chapter 1. Introduction -- Chapter 2. Introduction to artiļ¬cial 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
Mode of access: World Wide Web.
System requirements: Adobe Acrobat reader.
9781949443523
Artificial intelligence.
Risk assessment.
Management information systems.
Business intelligence.
Project management. Construction management. Program management. Skills development. Risk. Artificial intelligence. Analytics. ML. Mitigation. Performance review. Data science, and business intelligence.
Electronic books.
Q335 / .A785 2020