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Now Incorporated in Each 2 Week Training Skills for

Program Specific Job Process Performance, 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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PA204-2D
2 Week Process-by-Process Leveraging Artificial Intelligence

Operational Project Performance Evaluation & Audit Processes Leveraging Ai

Building Hands-on Skills & Competencies in

  1. Provide methodologies for operational and customer-focused performance evaluation and strategic alignment.

  2. Introduce advanced data analytics and AI methods for timely performance insights and proactive decision-making.

  3. Discuss best practices in project performance evaluation and operational audits derived from leading global projects.

  4. Foster a multi-discipline, multi-stakeholde

www.eurotraining.com/bro/pa204-2.php

2 Week Job Process Good & Best Practices Training

Kualalumpur
20-31 Jan 2025
Dubai
3-14 Feb 2025
London
17-28 Feb 2025
New York
2-13 March 2025
Seattle, USA
16-27 March 2025
Istanbul
30 March-10 April 2025
New York
13-24 April 2025
Dubai
27 April-8 May 2025
Kualalumpur
11-22 May 2025
London
25 May-5 June 2025


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What is Covered in this Workshop?

  1. Train participants to evaluate and audit project operational and strategic management processes for achieving operational targets and strategic objectives.
  2. Enable participants to develop and implement a Project Balanced Scorecard to identify improvement opportunities.
  3. Provide methodologies for operational and customer-focused performance evaluation and strategic alignment.
  4. Introduce advanced data analytics and AI methods for timely performance insights and proactive decision-making.
  5. Discuss best practices in project performance evaluation and operational audits derived from leading global projects.
  6. Foster a multi-discipline, multi-stakeholder perspective for identifying and recommending improvement initiatives.

Who Should Attend?

  1. This Work Process Skills program is intended for Project Performance Evaluation and Operational Audit Professionals, Managers and Auditors.
  2. This Job Process Competency program will also be useful for Project Planners, Developers, Consultants, Professionals and Teams assigned responsibility for Identifying and Implementing Improvements on Existing Projects to incorporate New Processes, Motivation and Leadership Systems, Data Analytic and Artificial Intelligence.

Program Processes & Modules

Operational Project Performance Evaluation & Audit Processes Leveraging Ai


  1. Understanding Project Performance Evaluation and Operational Audits: Scope and Objectives.
  2. Importance of Strategic Alignment, Innovation, and Customer Focus in Project Evaluation.
  3. Overview of Data Analytics and Artificial Intelligence in Performance Evaluation.
  4. Strategy Processes
  5. Aligning Project Objectives with Organizational Vision, Mission, and Strategic Goals.
  6. Evaluating Strategic Fit and Innovation Opportunities within Projects.
  7. Developing Strategic KPIs for Monitoring Project Alignment.
  8. Planning Processes
  9. Designing a Methodology for Operational and Customer-focused Performance Evaluation.
  10. Developing and Implementing the Project Balanced Scorecard for 360-degree Evaluation.
  11. Planning for Data-driven and AI-assisted Performance Monitoring and Reporting.
  12. Operational Processes
  13. Evaluating Contract Compliance and Stakeholder Commitments.
  14. Assessing Resource Utilization Efficiency and Operational Sustainability.
  15. Monitoring Project Delivery Timelines, Costs, and Quality Standards.
  16. Performance Evaluation Processes
  17. Establishing and Measuring Key Performance Indicators (KPIs) for Operational and Strategic Objectives.
  18. Conducting Functional and Special Audits for Specific Project Aspects.
  19. Using Data Analytics to Identify Gaps in Performance and Recommend Interventions.
  20. Data Analytics Processes
  21. Utilizing Predictive Analytics for Proactive Performance Monitoring.
  22. Applying AI for Real-time Insights into Project Progress and Challenges.
  23. Visualizing Data Through Dashboards for Effective Communication with Stakeholders.
  24. Risk Management Processes
  25. Identifying Emerging Risks Related to Operations, Strategy, and Security.
  26. Preparing Disaster Recovery and Business Continuity Plans for Projects.
  27. Evaluating Physical and IT Security Measures for Risk Mitigation.
  28. Quality Assurance Processes
  29. Conducting Quality Audits to Ensure Compliance with Standards and Benchmarks.
  30. Monitoring Vendor Performance and Optimizing Partnerships.
  31. Ensuring IT System Security and Safeguards Against Threats.
  32. Contingency Management Processes
  33. Developing Response Plans for Unexpected Project Disruptions.
  34. Ensuring Continuity of Operations in the Face of Disasters or Security Threats.
  35. Evaluating the Resilience of Project Teams and Processes.
  36. Improvement and Lessons Learned Processes
  37. Documenting Lessons Learned from Project Evaluations and Audits.
  38. Proposing Improvements with High Acceptance Probability by Auditees and Management.
  39. Implementing Continuous Improvement Processes Across Projects.
  40. Building Process Knowledge and Updating SOPs
  41. Standardizing Processes Based on Best Practices and Lessons Learned.
  42. Regularly Updating SOPs to Reflect Changes in Standards or Technologies.
  43. Training Teams on Revised and Updated Procedures.
  44. Reporting Processes
  45. Producing Transparent and Comprehensive Reports for Stakeholders.
  46. Highlighting Strategic and Operational Contributions of Project Evaluations.
  47. Using Reporting as a Tool for Driving Organizational Improvement.
  48. Artificial Intelligence Leveraging Processes
  49. Deploying AI for Pattern Recognition and Anomaly Detection in Projects.
  50. Utilizing Machine Learning to Forecast Project Challenges and Outcomes.
  51. Implementing AI-driven Decision Support Systems for Real-time Performance Management.
  52. Human Resource Development Processes
  53. Training Teams on Leadership and Multi-stakeholder Collaboration in Projects.
  54. Building Cross-functional Expertise to Address Diverse Project Needs.
  55. Promoting a Culture of Learning, Innovation, and Customer Orientation.
  56. Operational Project Performance Evaluation & Audit Use Cases