Artificial Inteligence Monitoring PMO Risk 
Rebel’s Guide to PM
MARCH 14, 2024
Large Language Models help the least experience employees the most. Research shows that less experienced staff showed a 43% improvement in performance when using LLMs , compared to an improvement of only 17% by more experienced staff. Consider how AI can help with monitoring, controlling and creating project deliverables.
MPUG
MAY 6, 2024
In Part 1 of Effective Use of Artificial Intelligence Tools , we explained AI and its uses for predictive analysis in Project Management. Intelligent Scheduling The need to develop a competent schedule is not new. One of the profound applications of AI in this domain is through AI-powered risk analysis tools.
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MPUG
MAY 10, 2024
Introduction Welcome to the transformative world of project management, where artificial intelligence (AI) is not just a buzzword, but a game-changer in the way Project Management Offices (PMOs) function. As PMO Leaders, we need to adopt a fresh perspective. Identify risks before they become issues. Run the play!
The IIL Blog
OCTOBER 24, 2023
In November 2022, when ChatGPT was made available to the public, it put Artificial Intelligence (AI) into the spotlight for all people – not just ‘techies’ and those who have followed AI for a long time. Indeed, Artificial Intelligence is not really new. Risk Management. Active Assistance. Lohr, “ The A.I.
International Institute for Learning
APRIL 5, 2023
INTRODUCTION During the past several years, we have seen dramatic improvements in artificial intelligence (AI). Some of the risks facing project management organizations are presented in the sections that follow. The responsibility for policies and procedures may be delegated to a project management office (PMO).
Rebel’s Guide to PM
MARCH 18, 2021
Assumption log Risk register Backlog (see, agile project artifacts are relevant too) Stakeholder register. Work breakdown structure Product breakdown structure Organizational breakdown structure Risk breakdown structure. You can grab the set I use here. These documents represent a set of continuously evolving documents.
Rebel’s Guide to PM
JULY 20, 2023
Some examples of the project delivery artifacts that fall into this category that I use to manage my own projects at work include: Assumption log Actions log Decision log Risk register Issue log Change log Backlog (see, agile project artifacts are relevant too) Stakeholder register These documents represent a set of continuously evolving documents.
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