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Implications of Artificial Intelligence on Project Management

The IIL Blog

By Eugene Bounds and Steve Ackert Recently, the buzzword artificial intelligence (AI) has been on everyone’s minds, not just in the tech world but across many industries, including project management. One thing is clear—new tools and their capacity to quickly analyze large data sets are proliferating quickly.

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Leadership Today Means Leading with Human Values in the Age of Artificial Intelligence

International Institute for Learning

By Monica Lopez Since entering into public consciousness in November of last year, news continues unabated about generative artificial intelligence (AI) and ChatGPT in particular. en/library/proposal- regulation-laying-down-harmonised-rules-artificial-intelligence 3 Gonzalez vs. Google LLC Oral Argument.

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Strategy, How to Write a Project Charter, and ChatGPT

The Strategic Project Manager

It focuses on how to write a Project Charter – and then asks ChatGPT what it would include in a Project Charter! Other Project Considerations – These include such important items as risks, potential issues, priorities, assumptions, and constraints. However, it does need to identify the major risks to the project.

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How Project Management Will Benefit from Using Artificial Intelligence

International Institute for Learning

By Dr. Elissa Farrow and Dr. Harold Kerzner Introduction Artificial Intelligence (AI) applications have become a major interest of the project management community of practice worldwide. How many organisations had a pandemic affecting operations on their 2019 risk registers?

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What won’t change…

Kiron Bondale

Based on the extensive media coverage, YouTube videos, TED Talks, and books published, many might agree that 2023 has been hailed as the year of artificial intelligence, at least in terms of mindshare if not market dominance. capabilities to identify all the possible risks which could impact our projects.

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12 Must-Have Skills for a Data Analyst You Should Test

Teamweek

Some of the most important data analyst skills include data analysis, statistical programming languages, data management, data visualization, good communication skills, machine learning and even Excel skills. Predictive analytics — Using predictive data models to forecast trends and patterns for more accurate planning.