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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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Risk Management Resources

Herding Cats

Risk Management is essential for development and production programs. Risk issues that can be identified early in the program, which will potentially impact the program later, termed Known Unknowns and can be alleviated with good risk management. Effective Risk Management 2 nd Edition , Edmund Conrow, AIAA, 2003.

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What Is Cloud Storage, and How Are Innovative Companies Using It?

ProjectManager.com

Some of the disadvantages include the risk to security and the potential of unauthorized access to data. With dashboards, task lists, document checklists and integration with other case management software, the product is seamless for those in the legal industry. Backing up your files for loss prevention.

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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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Microsoft Project Viewer – View & Edit MPP Files (Updated Nov. 2019)

ProjectManager.com

A Microsoft Project viewer is a piece of software that gives users the ability to open, export and print MS Project files without a Microsoft Project license. Microsoft Project is expensive, and it doesn’t share well with others who don’t have a copy of the software, which is generally clunky. Risks, Issues & Changes.

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Basis of Estimating Software Development

Herding Cats

The estimating of software development is both straightforward and complex. Here are some resources that will provide guidance to produce credible software development estimates, in both traditional and agile domains. Software Sizing and Estimating: Mk II FPA , Charles Symons, John Wiley & Sons, 1991. IT Risk Management.

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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