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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. Euguene earned an M.S. degree in Information Systems from the University of Southern California and a B.B.A. He is a retired U.S.

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

MPUG

This data includes emails, text messages, IM conversations, call center logs, customer feedback, user interview transcripts, blogs, videos, product reviews, replies in questionnaires, product requirements, status reports, risk assessments, dependency maps, and the countless meetings we all have throughout the year.

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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. It’s also a fav for analysts as it’s an easily readable and understandable language.

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Working With Machines: AI in Work Management

Wrike

The age of artificial intelligence (AI) is upon us, changing forever the way companies operate and grow. Machine learning (ML) now helps to predict and minimize delays, reduce time spent on mundane tasks, and optimize the skills and talents of the human workforce.

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Creating a Positive Workplace: Strategies for Building Trust & Respect

Proofhub

Check out this previous post on our blog that offers additional ways to deal with an unproductive team and turn things around. For example, a software engineer may be passionate about artificial intelligence and machine learning. Do you need help with a low-performing team?

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The Pillar of Steady Operations: Site Reliability Engineer

Wrike

Enter the Site Reliability Engineer (SRE), the unsung hero of the digital age. This comprehensive article will delve into the world of SREs, exploring their role, responsibilities, importance in business operations, the intersection of software engineering and systems administration, and the future trends shaping this crucial field.

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9 Resume Screening Tools to Boost Your Hiring

Teamweek

What are the different types of resume screening software? Type Description Pros Cons AI-driven Resume Screening These tools utilize Machine Learning algorithms to assess resumes for job-relevant keywords and phrases. AI-driven hiring systems become more accurate over time as they learn from past hiring decisions.