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What is Covered in this Program?

1. Establish Effective Project Early Warning Systems (EWS)

2. Provide Timely Decision Support Insights. Enable Proactive Management Interventions. Leverage Data Analytics and AI for EWS.

3. Identify Risks Impacting Project Objectives. Detect Early Signs of Emerging Risks.

4. Evaluate and Improve Project Early Warning Systems. Act on Opportunities in a Timely Manner.

5. Strengthen EWS Communication and Monitoring.

6. Enhance Planning, Monitoring, and Control of EWSs.

Who should Attend?

1. This program is intended fro Project Professionals, Project Managers, Project Coordinators, Risk Management Professionals and Executive Management Guiding Project Progress.

2. This program is also intended for Project Support Professionals including from Procurement, Logestics, Safety, Finance and Audit Units.

PROGRAM CONTENT
(Ai & Data Analytics Leveraged)

Project Risk Management & Early Warning Systems (EWS) Leveraging Ai

1. Business Aspects of Project Early Warning Systems (EWS)

2. EWS Opportunities on Projects

3. Project Phasewise Discussion of Early Warning System Usefullness and Opportunities

4. Objectives at Each Stage of the Project Cycle
   (1) Project Formulation
   (2) Feasibility
   (3) Licensor Contracting
   (4) Preliminary Design (or FEED)
   (5) Detailed Design
   (6) Procurement or Tendering
   (7) Construction or Implementation
   (8) Commissioning & Handing Over
   (9) Early Operation
   (10) Warranty
   (11) Contract Completion

5. Early Warning Signs During
   (1) Project Formulation
   (2) Feasibility
   (3) Licensor Contracting
   (4) Preliminary Design (or FEED)
   (5) Detailed Design
   (6) Procurement or Tendering
   (7) Construction or Implementation
   (8) Commissioning & Handing Over
   (9) Early Operation
   (10) Warranty
   (11) Contract Completion

6. Data Sources for Each Project Stage Early Warning Sign

7. Setting-up a Management System for Early Warning System (EWS)

8. Data Collection (and Communications) for Early Warning Systems

9. Data Analysis Models (Multi-sourced data) for Identifying Emerging Risk Situations

10. Artificial Intelligence Models for Insights into Emerging Situations that may Demand Management Intervention

11. Compiling and Reporting the Early Warning Signs, Including Likely Impact

12. Setting up Project Management Decision Support Insight Communication and Possible Automated Decision Making Reporting Management Decision Options

13. Program Recommendations

14. Participant Agreed Outline Action Plan Outline

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