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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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ChatGPT 4: A Bargain for Scrum Practitioners?

Scrum.org

TL; DR: ChatGPT 4: A Bargain for Scrum Practitioners? When OpenAI released its new LLM model GPT-4 last week, I could not resist and signed up for $20 monthly. I decided to run three comparisons, using the identical prompt to trigger answers from the new GPT-4 and previous GPT-3.5 GPT-3 and GPT-3.5

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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! Scope – What is and is not included in terms of processes, organizational areas, locations, data, applications, and technologies. It is helpful to identify the specific interests of each stakeholder.

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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. These systems and the developments are rapidly evolving as with the recent open release of ChatGPT as an example of a language processing solution.

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

Teamweek

The real difference is that a data scientist is usually more experienced and works with more complex data processes. 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.

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Google Bard Access Unleashed: Step into the Worldwide Web

Productivity Land

Google Bard is an advanced artificial intelligence system developed by the tech giant Google. It offers an incredible platform for generating text and answering complex queries with remarkable accuracy and intelligence. With each passing day, new technologies emerge, pushing the boundaries of what we thought possible.

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