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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. Natural Language Processing (NLP) One of the key AI applications is automating document analysis, particularly in the critical phases of requirements gathering and stakeholder communication.

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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.” Will your project manager be replaced by artificial intelligence?

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Leveraging AI in Project Management: 8 Areas for Impactful Predictions

MPUG

Understanding AI in Project Management Artificial intelligence (AI) is all the rave. AI operates through complex algorithms and data analysis to simulate human intelligence in machines. At its core, AI involves the creation of machine learning (ML) models, which are trained using vast amounts of data.

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9 Types of Artifacts in Project Management

Rebel’s Guide to PM

In this article we’ll look at the types of artifacts in project management, typical documents for each type. There’s also a checklist of project artifacts by phase at the end, which you can use as an aide-memoire for creating your own documentation. For example: a project management artifact is the project closure document.

Logistics 510
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How AI is Improving Early Warning Systems in Project Management

Planview

Applying machine learning to project management challenges can pave the way for smarter, more efficient, lower-risk projects and higher-quality products. It can identify whether similar historical projects were on time and on budget, or how reserves were allocated, and whether they were needed.

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Project Artifacts and How to Use Them

Rebel’s Guide to PM

In this article we’ll look at the types of artifacts in project management, typical documents for each type. There’s also a checklist of project artifacts by phase at the end, which you can use as an aide-memoire for creating your own documentation. For example: a project management artifact is the project closure document.

Logistics 258
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AI in Project Management: Is the Future Already Here?

Epicflow Blog

According to Gartner , by 2030, 80% of project managers’ tasks will be run by AI, powered by big data, machine learning (ML), and natural language processing. The role of artificial intelligence is especially essential in a changing multi-project environment with a shared resource pool. But is this really so?