Remove Artificial Inteligence Remove Monitoring Remove Risk
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57 AI in Project Management Statistics

Rebel’s Guide to PM

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.

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Smart Manufacturing: Examples & Benefits

ProjectManager.com

The term smart manufacturing was first used in the mid-2000s as new technologies such as 3D printing or additive manufacturing and artificial intelligence became more prominent. Smart factories have a basic structure of data acquisition, data analysis and intelligent factory automation.

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How Artificial Intelligence Can Improve Project Management?

nTask

AI (artificial intelligence) is going to continue to disrupt our daily lives in a huge way. The term was coined in 1956 by John McCarthy who defined it as: “The science and engineering of making intelligent machines.” Better at spotting risk. Google RPA is a good example of this.

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9 Types of Artifacts in Project Management

Rebel’s Guide to PM

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.

Logistics 511
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The Basics: Artificial Intelligence for Strategic PM’s

The Strategic Project Manager

This post makes an initial attempt to describe what Artificial Intelligence is, where it might apply in the world, and the impacts to organizational strategy and project management. It follows up this initial attempt with actual Artifical Intelligence responses from ChatGPT. So let’s go right to the source!

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What Is Demand Planning? Tips, Strategies and Tools

ProjectManager.com

Taking the time to engage in demand planning can help you mitigate those risks. Modeling: Feed your collected data into models such as algorithms and artificial intelligence that can predict the future demand for your product. Now it’s going to cost you as you struggle to fill orders.

Planning 464
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Effective Use of Artificial Intelligence Tools: 5 Strategies for Effective Implementation (Part 2)

MPUG

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.