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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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Software Estimating Resources

Herding Cats

This blog page is dedicated to the resources used to estimate software-intensive systems using traditional and agile development methods. Cost Modeling Agile Software Development,” Maarit Laanti and Petri Kettunen, International Transactions on Systems and Applications, Volume 1 Number 2, pp. Performance Evaluation of non?Markovian

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Risk Management Resources

Herding Cats

This blog page is dedicated to the resources used to assess risks, their impacts, and handling strategies for software-intensive systems using traditional and agile development methods. IEEE Transactions on Software Engineering , Vol. A Critical Review Of Risk Management Support Tools,” Irem Dikmen, M. 5, September/October 2011.

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Project Prioritization

EasyProjects

And another pivotal difference is their adoption of project management software platforms, which increasingly have transformed the ratio of input (budget, personnel, time, other resources) to output (project success, the margin of return, profit). We have been reviewing the criteria for project selection. Project management software.

PMO 91
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A Compendium of Risk Management Resources

Herding Cats

This blog page is dedicated to the resources used to manage the risk encountered on software-intensive systems using traditional and agile development methods. Let's start with a critical understanding of the purpose of managing risk on software development projects. IEEE Transactions on Software Engineering , Vol.

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Monte Carlo Risk Analysis in Project Management

Project Pulse Journal

This is particularly useful in a process that cannot easily be predicted due to the intervention of random variables. Run Simulations : Use Monte Carlo simulation software, in this case, Microsoft Excel, to simulate the model hundreds, if not thousands of times. References Kerzner, H. Hoboken, NJ: John Wiley & Sons, Inc.

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

Project Pulse Journal

Some reasons for understanding the environment are as follows: Enhanced Decision Making Knowledge of internal and external environments enables a project manager to make informed decisions that align with organizational goals and market realities. Building a team with the right capabilities is essential for meeting project objectives.