Use of Generative AI in Lessons Learned Analysis – Part II

  Agile   Artificial Intelligence   Business Intelligence   Lessons Learned  

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Overview

This webinar explores how project teams can move from traditional lessons learned reviews to AI-powered insight generation. Building on a 2023 proof of concept (also presented as a webinar called ''Unlocking Collective Wisdom: Generative AI for Lessons Learned Analysis in Project Management''), we’ll show real-world deployment using Retrieval-Augmented Generation (RAG) and Azure OpenAI to extract frequent and critical lessons across projects. Attendees will see live examples, vote in polls, and learn how to turn past project data into actionable recommendations—bringing real value to the PMO.

Learning Objectives

This webinar explores how project teams can move from traditional lessons learned reviews to AI-powered insight generation. Building on a 2023 proof of concept (also presented as a webinar called ''Unlocking Collective Wisdom: Generative AI for Lessons Learned Analysis in Project Management''), we’ll show real-world deployment using Retrieval-Augmented Generation (RAG) and Azure OpenAI to extract frequent and critical lessons across projects. Attendees will see live examples, vote in polls, and learn how to turn past project data into actionable recommendations—bringing real value to the PMO.

NOTE: You must watch videos in their entirety and all the way through to the end for our system to record your viewing activity accurately. Learn more about PDUs on ProjectManagement.com.

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Talent Triangle Alignment

This video qualifies for the following PDUs:

PMP/PgMP CAPM PMI-ACP PMI-SP PMI-RMP PfMP PMI-PBA DASM DASSM DAC DAVSC PMI-CP PMI-PMOCP PMI-CPMAI Ways of Working 1.00 1.00 1.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 Power Skills 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Business Acumen 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Total 1.00 1.00 1.00 0.00 0.00 0.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00

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Acknowledgements: Tara Leparulo and Jeffrey Martinez