Artificial Inteligence Monitoring Reference 
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!
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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International Institute for Learning
SEPTEMBER 21, 2022
Views on Artificial Intelligence (AI), its future use and impact on organisations and society are often polarised (Farrow, 2019; van Belkom, 2020). Data cleansing and data governance becomes critical when AI mechanisms are being used in portfolio decision and monitoring processes. References . By Dr. Elissa Farrow.
International Institute for Learning
SEPTEMBER 20, 2022
Views on Artificial Intelligence (AI), its future use and impact on organisations and society are often polarised (Farrow, 2019; van Belkom, 2020). Data cleansing and data governance becomes critical when AI mechanisms are being used in portfolio decision and monitoring processes. References . By Dr. Elissa Farrow.
TechEmpower - Project Management
OCTOBER 9, 2023
Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.
Scrum.org
AUGUST 20, 2024
Principles of Strategic Product Management Artificial Intelligence (AI) and Machine Learning (ML) The two fields that are advancing at a fast rates are artificial intelligence (AI) and Machine Learning (ML).
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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