Contextual Graphs for AI-driven Risk Management
Module 1
Context Design for the New-Age Risk Register
Module 2
Risk Assessment Modeling within Context
Module 3
Contextual Graph Development and Application
1.1. Introduction: Why Context Matters in Risk Assessment
1.2. Problem Framing: Defining Proper Boundaries for Risk Analysis
1.3. The Contextual View of a Decision Hotspot
1.4. Context Mapping with an Ontology
1.5. LLM Feeding and Training for Context-Aware Insights
1.6. Changing the Mindset of Others: Driving Adoption of Context-Based Risk Thinking
2.1. Relativization: Why Quantification is Essential
2.2. Structuring Risk Cards for AI-Assisted Analysis
2.3. Risk Assessment: Moving from 'As-Is' to 'To-Be'
2.4. AI-Powered Quantification: One Risk at a Time
3.1. The Inner Workings of a Knowledge Graph
3.2. From Note-Taking to an Integrated Risk Intelligence System with Graph Software
3.3. Enhancing Querying Capabilities with LLM Assistance
3.4. Developing Connectors for Data and Media Integration
3.5. Leveraging Contextual Graphs for Decision Support and Risk Administration
This program offers a certification as a Contextual Graph Specialist for Risk Management, awarded based on the results of a multiple-choice final examination.
All sessions are pre-recorded.
Select "Contextual Graph Specialist Basic" plan.