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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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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

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. MPUG members are invited to an extended free trial of empwr.ai Advancements in AI are beginning to change this.

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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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11 Popular Assessments to Test Programming Skills

Teamweek

Coding skills that were relevant two years ago might hold little value today. But assessing a candidate’s skills can take many forms – from simple programming tests to live coding challenges and take-home assignments. What coding tests reveal about your next developer. Review a candidate’s entire portfolio.

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Software Estimating Resources

Herding Cats

This blog page is dedicated to the resources used to estimate software-intensive systems using traditional and agile development methods. Cost Modeling Agile Software Development,” Maarit Laanti and Petri Kettunen, International Transactions on Systems and Applications, Volume 1 Number 2, pp. Performance Evaluation of non?Markovian

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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. The Future of Systems-and Software Development. Springer International Publishing, 2016.