Cover Image

Artificial intelligence for risk management /

Bibliographic Details
Main Authors: Addo, Archie (Author), Centhala, Srini (Author), Shanmugam, Muthu (Author)
Corporate Author: ProQuest (Firm)
Format: 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:
Artificial intelligence.
Risk assessment.
Management information systems.
Business intelligence.
Project management.
Construction management.
Program management.
Skills development.
Risk.
Analytics.
ML.
Mitigation.
Performance review.
Data science, and business intelligence.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 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.