Artificial Inteligence Monitoring Strategy 
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. There’s More! But there are more than just those 8 uses for AI from our last article.
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The Strategic Project Manager
FEBRUARY 16, 2023
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!
Scrum.org
AUGUST 20, 2024
Product management approach concentrates on aligning Business, Portfolio , Product and Technology Strategy to solutions developed to close customer satisfaction gap. The field of AI has made machines intelligent, self-reliant, and far more imaginative than people ever thought they could be.
The IIL Blog
NOVEMBER 8, 2023
By Alan Zucker November 8, 2023 Artificial Intelligence (AI) will transform project management. Don.ai, the Document Generator AI and Machine Learning tools can consume billions of documents and generate reasonably good encyclopedia-like entries on any topic. They should be focused on strategy. Wow, that’s creepy.
MPUG
MARCH 15, 2024
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.
Teamweek
JULY 12, 2024
TL;DR — Key Takeaways Artificial intelligence engineers may specialize in different areas of AI. Examples include NLP, machine learning, Deep Learning, Data Science, Image processing, and Continuous Learning. Combine artificial intelligence questions with other assessment techniques for better results.
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