Advanced Project Engineering Through AI and Research
Dive into the practical applications of AI in project planning and engineering, exploring cutting-edge methodologies and international standards. Uncover the impact of AI on project management practices, research limitations, and governance, and learn how to navigate the complex landscape of AI integration in project engineering. Discover frameworks for AI design across diverse project types, ensuring fair and equitable project outcomes while addressing the challenges and opportunities presented by AI technologies.
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Presentation Transcript
AI for project plan engineering Gilles Vallet
Practical foundation for the research IX Academics MSc programme for Project Engineering Approaches and techniques from international State of the Art (ISO/EN/Aeronautics-Defence-Space standards/PRINCE2/PMBoK/ICB) Case based learning and analytics Introduction of AI for project engineering SMaP (Soci t pour l avancement du Management de Projet) French representation of IPMA in France Project Planner certification system from professional practices
Founders of the research Certification Integration of approaches for project engineering Oxford Academics Certification of project planners Case based learning for Project Engineering in large infrastructure projects IX Academics from Oxfordshire Neural networks since early 1990s
Practical aim for the research Formal framework To share and publish experience To ensure fair and equitable project management practice To elucidate the dark side of AI (so it is necessary to differentiate between usage scenarios) when applying AI to project plan engineering To elaborate different research design of AI for each kind of projects analysed To analyse the research limitations To include more organisations with an interest in AI for project plan engineering
Framework of the research Integration of requirements for project plan engineering Governance of the research actions Evaluation and critical review of results Definition of research actions (from operational action) Research actions and documentation
From actual cases to research Construction of project plan and project planning activities Specific requirements for project plan engineering Lessons learned (Return on Experience) Definition of project plan and project planning activities Peer reviews
Governance of the research Dedicated committees Publication committee confidentiality of results/approaches Cross-fertilisation of research actions between similar research actions (with cross agreement) Orientation of research actions from experience Review of ethics and fair practices
The paper proposed To highlight our initiative and possibly raise interest and commitment in organisations either involved already or expressing interest to join To prepare a future white paper for research actions To prepare to opportunities and risks of AI for project plan engineering
As a conclusion Project planning is aimed at construction and evaluation of project budget and schedule Project plan engineering is aimed at effectiveness and efficiency of project plan and project planning activities AI for project plan engineering to determine if any path between confidentiality and statement of characteristics for project plan
THANK YOU! Gilles Vallet gilles.vallet@ix-academics.education
