Unlocking Collective Wisdom: Generative AI for Lessons Learned Analysis in Project Management

  Artificial Intelligence   Lessons Learned  

In a rapidly evolving technological landscape, the ability to learn from past projects is invaluable but often underutilized. This presentation unravels a novel approach to harnessing the wealth of data on 'Lessons Learned' across multiple projects using Generative AI. Pascal Brunet introduces the problem scope, emphasizing the existing gap between data collection and actionable insights. He demonstrates a step-by-step methodology, starting from data consolidation using VBA scripts—developed with the help of language models—to the final import and analysis using generative AI algorithms. The objective is to mine the 'Lessons Learned' data to produce actionable recommendations that can empower company employees in future projects. By bridging the divide between raw data and meaningful action, this approach positions itself as a pioneering solution in the field of project management and organizational learning.

In a rapidly evolving technological landscape, the ability to learn from past projects is invaluable but often underutilized. This presentation unravels a novel approach to harnessing the wealth of data on 'Lessons Learned' across multiple projects using Generative AI. Pascal Brunet introduces the problem scope, emphasizing the existing gap between data collection and actionable insights. He demonstrates a step-by-step methodology, starting from data consolidation using VBA scripts—developed with the help of language models—to the final import and analysis using generative AI algorithms. The objective is to mine the 'Lessons Learned' data to produce actionable recommendations that can empower company employees in future projects. By bridging the divide between raw data and meaningful action, this approach positions itself as a pioneering solution in the field of project management and organizational learning.