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

MPUG

We built and deployed a system using large language models (LLMs) to do the work with accurac y that far exceeded the OEM’s expectations. By now, most people with even a passing interest in technology have experimented with large language models (LLMs) like Anthropic’s Claude, Open AI’s ChatGPT, or Google’s Gemini.

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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

For example, a software engineer may be passionate about artificial intelligence and machine learning. As their manager, you could allow them to take relevant courses to improve their skills. You could also assign them to a project that utilizes these skills.

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Estimating is a Learned Skill

Herding Cats

The primary purpose of software estimation is not to predict a project’s outcome; it is to determine whether a project’s targets are realistic enough to allow the project to be controlled to meet them ‒ Steve McConnell. Software quality measurement,” Magne Jørgensen, Advances in Engineering Software 30 (1999) 907–912.