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Implications of Artificial Intelligence on Project Management

The IIL Blog

The future of AI in project management will depend on how we implement, use, and govern it! He received the PMI Fellow award in 2017. He additionally served as Director of Civil Agencies at Carnegie Mellon University’s Software Engineering Institute and as Senior Vice President at Booz Allen Hamilton. He is a retired U.S.

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Project Delivery through the Definition of Done

Project Pulse Journal

Project management software helps track and present consolidated information to the team and stakeholders. This is the usual approach in software engineering, which heavily applies the agile framework in combination with how collaborative and flexible the teams work. 2017, February). References Huether, D.

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Risk Management Resources

Herding Cats

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. IEEE Transactions on Software Engineering , Vol. Software Engineering Institute, January 1996. February 2017. “A

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A Compendium of Risk Management Resources

Herding Cats

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. IEEE Transactions on Software Engineering , Vol. Software Engineering Institute, January 1996. February 2017. “A

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Software Estimating Resources

Herding Cats

“Cost Modeling Agile Software Development,” Maarit Laanti and Petri Kettunen, International Transactions on Systems and Applications, Volume 1 Number 2, pp. COSMIC Software Estimation Approach,” Alain Abran, ICEAA Workshop, Portland Oregon, June 6?9, Patnail, International Journal of Software Engineering, IJSE, 8.1,