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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. For over a quarter of a century, the Standish Group has tracked, reported, and improved software-intensive project success rates. [1]

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Generative AI and Project Management in 2024: Three Themes to Watch

MPUG

Increasingly, all enterprises are becoming software-led, which is changing the traditional project management lifecycle into the continuous iterative loop that modern software teams have employed for decades. In our experience, there are a few key themes to watch in 2024 as generative AI impacts Project Management : 1.

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

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8 Examples of Using ChatGPT in Recruitment Process

Teamweek

And while businesses are now using ChatGPT across various sectors and continually discovering new use cases, an equal amount of exaggeration and misunderstanding always accompanies the next Big Thing in tech. TL;DR – Key Takeaways ChatGPT is an AI chatbot on steroids. What is ChatGPT, and what’s all the fuss about?

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