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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. AI technology will automate repetitive processes, generate insightful program reports, and highlight potential problems before they arise.

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Master’s in Project Management vs MBA: 10 Expert Tips to Help You Decide

Rebel’s Guide to PM

A Master’s degree in project management will give you a deep insight into the theory and technical skills required to work in a strategic project leadership role. Let’s say you already have a bachelor’s degree in information technology, engineering or pretty much any other topic. Kyle Elliott.

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From Predictive to Agile – How to Choose the Right Project Management MethodologyBy Harold Kerzner and Cyndi Snyder Dionisio

International Institute for Learning

While a hybrid approach may seem appealing due to its combination of structure and flexibility, the decision ultimately hinges on understanding the broader stakeholder needs and the organization’s ability to be responsive to multiple frameworks.

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How to Navigate the Project Environment Even if You’re New to Project Management

Project Pulse Journal

The project environment is a complex relationship of internal and external facets consisting of organizational structure, culture, industry dynamics, regulatory frameworks, technological advancements, and market trends. Technological Advancements The rapid pace of technological innovation can offer both opportunities and challenges.

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Project Prioritization

EasyProjects

“Profit margins” and “return on investment” are not the explicit vocabulary of nonprofit organizations or governments. The 2017 PMI report said 37 percent of project failures are attributed to a lack of clearly defined objectives and discipline in implementing strategy. Why are we doing projects?

PMO 91
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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. Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993.

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A Compendium of 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. Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993.