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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. AI technology will automate repetitive processes, generate insightful program reports, and highlight potential problems before they arise.

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Risk Management Resources

Herding Cats

Information about key project cost, (technical) performance, and schedule attributes is often uncertain or unknown until late in the program. 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.

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A Compendium of Risk Management Resources

Herding Cats

Let's start with a critical understanding of the purpose of managing risk on software development projects. Information about key project cost, (technical) performance and schedule attributes is often uncertain or unknown until late in the program. IEEE Transactions on Software Engineering , Vol. De Meyer, C.

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Biases in Project Management and How to Remove Them

Herding Cats

What Impediments will be encountered along the way to Done and what are the handling strategies for each impediment? What are the measures of physical percent complete needed to inform the decision makers of progress to plan in order to take corrective or preventive actions to stay on plan? Buhl, Transport Reviews, 24, 1, 3-18. [2]

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Biases in Project Management and How to Remove Them

Herding Cats

What Impediments will be encountered along the way to Done and what are the handling strategies for each impediment? What are the measures of physical percent complete needed to inform the decision makers of progress to plan in order to take corrective or preventive actions to stay on plan? Buhl, Transport Reviews, 24, 1, 3-18. [2]

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DDSTOP The Saga Continues

Herding Cats

At the other end of the spectrum, when systems are not well defined and each is individually reacting to technology and mission changes, the environment for any given system becomes essentially unpredictable. 1] "Systems Engineering Strategies for Uncertainty and Complexity," MITRE Corporation, Systems Engineering Guide. [2]

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DDSTOP The Saga Continues

Herding Cats

Judgment from experience requires repeatability (experts work best in Complicated or Ordered cynefin domains) The moment you have little-to-no repeatability experts are at best useless, adaptability is a better survival strategy. Rarely are software engineers working on science experiments. I couldn't see this in the text. .