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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 additionally served as Director of Civil Agencies at Carnegie Mellon University’s Software Engineering Institute and as Senior Vice President at Booz Allen Hamilton. Eugene Bounds is presenting at this year’s #IPMDay2023!

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Current State and Future Prospects of Scrum and Agile Development in Japan

Scrum.org

The paper presents successful examples of new product development projects by Japanese companies and lays out some of the characteristics these projects had in common. In other words, for most people in Japan, software development was and remained an exercise in box checking.

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Project Management Maturity Models: A Basis for Reaching Your Organization’s Business Success

Epicflow Blog

Assessment presents methods, processes, and procedures that a company can use to self-assess its maturity. . The first dimension present the 10 Knowledge Areas defined in the PMBOK Guide. Improvement outlines the way from a company’s current maturity level to a more sophisticated one. . Let’s take a look at these levels. .

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12 Must-Have Skills for a Data Analyst You Should Test

Teamweek

Data governance and compliance — Ensuring data is managed safely and effectively in a way that complies with global data protection regulations. There’s a fast-growing need for more data professionals in the workplace, including roles like Data Engineers, ML Engineers, Data Scientists and Data Analysts. Source 8.

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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.

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Webinar Recap: Project Performance Measurement – Part 2: What to Measure and How to Report

MPUG

Like all MPUG webinars, a recording of this session will be posted to mpug.com shortly after the live presentation ends, and all MPUG members can watch the recordings at any time and still be eligible to earn the PDU credit. Kyle: Do you have any questions during today’s presentation? Fletcher Hearns: Great.

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Reading List for the Cone of Uncertainty

Herding Cats

Project Management Institute (PMI) [8] presents similar results about uncertainty, except that their results introduce an asymmetric cone where initial estimates vary between +75% and –25%, budgetary estimate between +25% and -10%, and the final estimate between +10% and -5%. 1, January 2011. "A 37–48, 2007. Eveleens and C.

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