Artificial Intelligence for Risk Management

CHAPTER 5

AI Solutions for Risk

• Definition of AI solutions or risk
• Project plan
  • Define the business case
  • Current state of risk
  • Proposed goal state
• Going into AI/ML in-depth
• Proposed AI/ML risk processes
  • Identify risk or threat model
  • Risk categorization/classification model
  • Predicting risk-impact model
  • Risk-probability occurrence model
  • Risk priority model
  • Root cause analytics/analysis
  • Risk mitigation strategy recommendation
  • Risk-contingency recommendation
  • Risk monitoring and corrective action

Chapter Outline

• How to handle the AI/ML model for risk problems?

Key Learning Points

• Learn and understand how AI/ML applies to risk areas
• Data preparation for
  • Input
  • Output
  • Training data
  • Validation data
• Evaluate different algorithms

Purpose

To create machine learning ...