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7 Hidden dangers of project management (Or why even well-planned projects sometimes fail)

Rebel’s Guide to PM

After $170m spent on a project to upgrade its computer system, the FBI project crumbled because the requirements were ill-defined from the beginning and the software didn’t function the way the agency had hoped. For example, in June 2010 Chrysler merged with Fiat. The merger was not a successful one.

Planning 452
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Human–AI Synergy in Innovation: from Innovation Management Software To Open Innovation

The IIL Blog

By Luigi Morsa and Richard Maltzman Introduction In a former article on this Blog, we discussed how Artificial Intelligence (AI) software intersects with Project Management [1]. In this article, the aim is to discuss another interesting aspect of the current features of AI software, namely the possibility to contribute to Innovation.

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Project Management Tools (AI and otherwise) to Transition from Project Management to Project Leadership!

The IIL Blog

More simply and generally the use of software, as it should in any field, should make the life (of the user) easier and provides greater capability and efficiency and with a lower probability of errors. We will explore this type of software, but first, lets take a closer look at classical Project Management software.

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PMI Are some more equal than others?

The Lazy Project Manager

So what is my concern and why am I mentioning PMI? Well I’m not just focusing on PMI but the behaviour I am concerned about seems to be rather more prevalent within PMI and PMI Congresses than others. PMI’s global membership currently exceeds 500,000, impressive of course. Let me explain.

PMI 150
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Complete Collection of Project Management Statistics 2015

Wrike

Project Management Software & Tools. Lean & Test Driven Development (TDD) – 11%. Number of PMI Certified Project Managers: Total Number of PMP credential holders: 607,128. # PMI Agile Certified Practitioner holders: 5,265. [14]. Project Management Software & Tools. 53% use project management software.

2015 60
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Implications of Artificial Intelligence on Project Management

The IIL Blog

AI is a branch of computer science that focuses on providing computer hardware and software with the ability to execute intelligent tasks with Generative AI (GenAI) learning and improving with each query. For over a quarter of a century, the Standish Group has tracked, reported, and improved software-intensive project success rates. [1]

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Reading List for the Cone of Uncertainty

Herding Cats

The primary purpose of software estimation is not to predict a project’s outcome; it is to determine whether a project’s targets are realistic enough to allow the project to be controlled to meet them ? This variation can be explained by the fact that initial concepts do not describe the final software system accurate enough.

2012 48