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Artificial Intelligence and Project Management: The First Step

The IIL Blog

In November 2022, when ChatGPT was made available to the public, it put Artificial Intelligence (AI) into the spotlight for all people – not just ‘techies’ and those who have followed AI for a long time. Indeed, Artificial Intelligence is not really new. The groundwork for AI started in the 1900s [1].

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Workshop Design with ChatGPT

Scrum.org

TL; DR: Workshop Design with ChatGPT The following article explores whether we can use ChatGPT-4 to create workshops for agile practitioners; for example, Scrum Masters. While Liberating Structures have simplified the task, workshop design with ChatGPT may provide an alternative. Shall I notify you about articles like this one?

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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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Understanding What is Qualitative Risk Analysis

Project Pulse Journal

The method apply qualitative risk analysis involves subjective rather than quantitative metrics to determine the likelihood and impact of identified risks by ranking them as low, medium, or high (Kerzner, 2017). Artificial Intelligence (AI): Use AI (e.g., ChatGPT, Bard, Anthropic, etc.)

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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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