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Implications of Artificial Intelligence on Project Management

The IIL Blog

By Eugene Bounds and Steve Ackert Recently, the buzzword artificial intelligence (AI) has been on everyone’s minds, not just in the tech world but across many industries, including project management. 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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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]. To aid in successfully following this path, Innovation Management Software can be a very powerful tool.

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How to Adapt and Flourish in the New World of Project Management

Leading Answers

You might be expecting to hear about the usual list of topics: big data, IoT, and artificial intelligence. Learn about the new tools for team collaboration and managing geographically dispersed teams. In 2010 a team developing software for a large trucking company was also responsible for developing training materials.

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Product Management Considerations for Project Managers

Project Pulse Journal

A software development team may use dashboards showing alternative solutions, connected marketing strategies, user personas, customer problems, or frameworks prioritizing features based on data, user stories, and the existing product. Sustainable living plan 2010 to 2020: Summary of 10 years’ progress. 2020, May).

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Waterfall Should Have Never Existed: Part 1

MPUG

For at least twenty years and counting, the world around us has become more and more software driven, and, as a result, more digital. Electric vehicles are about 50% software, in terms of value, whereas fossil fuel cars are mostly hardware. Banks have essentially been software developing organizations for a long time.

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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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Estimating is a Learned Skill

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 ‒ Steve McConnell. The Future of Systems-and Software Development. Springer International Publishing, 2016.