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Project Management Challenges with Artificial Intelligence

International Institute for Learning

As technology increases within the next two decades, AI is expected to replace humans in many of the simple and mundane tasks that are part of project and program management activities (Grace et al., External customers may not be supportive of the influence and decisions that AI software might have on their projects.

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Project Management Professional (PMP)® Exam Aspirant’s Definitive Guide to PMP® Exam Changes 2021

iZenBridge

In June 2019, PMI Certification has released a new PMP® certification content outline. It is an effort to equip project managers with today’s modern project environment. So, now the question is what modern project management is? A coach makes the team capable enough to deliver a successful project.

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How Project Management Will Benefit from Using Artificial Intelligence

International Institute for Learning

Existing organizational architectures, changes in the environment, emerging opportunities, and economic conditions will influence where AI applications should begin. Without tools such as AI, more people will be required to staff portfolios and projects to scan new areas of risk and opportunity not considered relevant.

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Risk Management Resources

Herding Cats

Information about key project cost, (technical) performance, and schedule attributes is often uncertain or unknown until late in the program. Planning, Tracking, and Reducing Complex Project’s Value at Risk,” Tyson R. Browning, Project Management Journal , 50 , pp. 85 1 Feb 2019. “An Panaitescu, M. Panaitescu, L.

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A Compendium of Risk Management Resources

Herding Cats

Let's start with a critical understanding of the purpose of managing risk on software development projects. Information about key project cost, (technical) performance and schedule attributes is often uncertain or unknown until late in the program. Planning, Tracking, and Reducing Complex Project’s Value at Risk,” Tyson R.

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Software Estimating Resources

Herding Cats

Jones and Stephen Cullum, arXiv preprint arXiv:1901.01621 (2019). Springer, Singapore, 2019. Categorical Variable Segmentation Model for Software Development Effort Estimation,” Petr Silhavy, Radek Silhavy, And Zdenka Prokopova, IEEE Access, 29 January 2019. Evaluating Project Decisions,” INTAVER Institute. & Zein, S.,