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Domain Knowhow, Reviewing Ai Outputs, Trainer of Ai Systems, Interrogating Ai Systems, and Possibly Transforming into a 20 year Experienced Inter-Discipline Domain Expert. Programs Updated to Leverage the Best of Digital Transformation, Data Analytics and Artificial Intelligence Ai.
Each program participant will get 1 year free individual license access to a Program Domain Specific Ai System to Answer his job related queries.
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QPM220-1

1 Week Leveraging Artificial Intelligence for Work Training

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

Building Skills in

  1. Identifying Project Risks Impacting Objectives

  2. Early Detections of Signs of Risk Emerging

  3. Supportive Data Analytics & Artificial Intelligence System

  4. Evaluating & Improving Project Early Warning Systems

www.eurotraining.com/bro/qpm220-1.php

1 Week Training Programs

Kualalumpur
20-24 Jan 2025
Dubai
3-7 Feb 2025
London
17-21 Feb 2025
New York
2-6 March 2025
Seattle, USA
16-20 March 2025
Istanbul
30 March-3 April 2025
New York
13-17 April 2025
Dubai
27 April-1 May 2025
Kualalumpur
11-15 May 2025
London
25-29 May 2025


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Program Objectives


Provide Skills for:
  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 & Modules

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


  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

    (A) Project Formulation

    (B) Feasibility

    (C) Licensor Contracting

    (D) Preliminary Design (or FEED)

    (E) Detailed Design

    (F) Procurement or Tendering

    (G) Construction or Implementation

    (H) Commissioning & Handing Over

    (I) Early Operation

    (J) Warranty

    (K) 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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