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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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In-Depth: The Evidence-Based Business Case For Agile

Scrum.org

But adherence to a framework or prescribed process does not guarantee agility. Adherence to a framework or prescribed process does not guarantee agility.”. I prefer a process-based definition of agility. Although we used Scrum teams for our investigation, these processes are generic enough to apply to Agile teams in general.

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What Makes A Good Product Owner?

Scrum.org

Traveler: The process of building an understanding of stakeholders by visiting them and spending time with them. Intermediary : Acting as an interface between management and the team and the process of disseminating domain knowledge. This includes training, technical support, and preparation for new releases.

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Project Delivery through the Definition of Done

Project Pulse Journal

Ready to transform your project delivery process? Learn how to collaborate effectively, detail deliverables, set standards, adapt to feedback, and continually refine processes. Due to their different approaches to project management, this definition varies significantly between Agile and Waterfall methodologies.

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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

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. IEEE Transactions on Software Engineering , Vol. De Meyer, C. 24, 2010. “A

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Cone of Uncertainty Bibliography

Herding Cats

I work in a domain where the CoU is baked into the Integrated Program Performance Management (IPPM) processes flowed down from the buyer, in this case, the Federal Government. It can be the needed performance of a measure - Effectiveness, Performance, Key Performance Parameter, or a Technical Performance Measures. Newnes, Linda B.,