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Implications of Artificial Intelligence on Project Management

The IIL Blog

AI technology will automate repetitive processes, generate insightful program reports, and highlight potential problems before they arise. He served on the Global Board of Directors Project Management Institute Global Board of Directors from 2007-2012 and was elected Board Chair in 2010. He received the PMI Fellow award in 2017.

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The Scrum Team is Self-Managing

Scrum.org

Yet, people also manage schedules, time, finances, adherence to standards, production and process flows, resources (actual resources, not people ), product releases, and more. In a 2010 blog post , Esther Derby noted this confusion of terms and the considerations organizations need to take when empowering teams.

SCRUM 214
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The 6 Stances Of A Scrum Master

Scrum.org

In 2010 I started my first assignment as a Scrum Master. As Johannes Schartau , Christiaan Verwijs , and I describe in our Scrum paper , it’s up to the Scrum Master to include the perspective of empirical process control and the quality by which transparency, inspection, and adaptation are taking shape in and around the Scrum team.

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Why Your Company Needs a Risk Management Framework

Techno-PM

To run your business successfully, you have to look over multiple operations simultaneously such as finance, marketing, human resources, technology, equipment, etc. Risk Analysis Risk analysis requires quantitative and non-quantitative data to determine the effect of a risk on your productivity, finances, and security.

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

Project Pulse Journal

Process Assets These are company policies, procedures, and records that influence success. A supportive culture encourages collaboration and innovation, while the governance structure defines the hierarchy and decision-making process. Sustainable living plan 2010 to 2020: Summary of 10 years’ progress. The key takeaway?

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Decision Analysis - Ordinal and Cardinal Measures

Herding Cats

This method is the Analytic Hierarchy Process (AHP). Both analytical and laboratory studies are required at this level to see if a technology is viable and ready to proceed further through the development process. The use of Ordinal numbers in TRL, AHP, and similar decision-making processes is useful make relative trade-offs. .

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Risk Management Resources

Herding Cats

Project Risk Management: A Combined Analytic Hierarchy Process and Decision Tree Approach,” Prasanta Kumar Dey, Cost Engineering , Vol. 255, April 2010. 24, 2010. “A Norton, The Systems Engineering Process Office, MITRE Corporation, 6 June 1999. IEEE Transactions on Software Engineering , Vol. 5, September/October 2011.