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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. Eugene is a Strategy and Management Consultant with three decades of Information Technology and Program Execution experience.

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Defensive Programming Grows Up

Leading Agile

Cloud, fog, and mist computing combined with the Internet of Things (IoT) and artificial intelligence (AI) add up to even more very small services interacting with one another dynamically in ways their developers cannot predict. This may be a consequence of rushing the work. There’s a desire for rapid delivery.

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Software Estimating Resources

Herding Cats

“Effort Estimation of Use Cases for Incremental Large-Scale Software Development,” Pareastoo Mohagheghi, Bente Anda, and Reidat Conradi, Proceedings of the 27th international conference on Software engineering. Software Development Effort Estimation using Fuzzy Bayesian Belief Network with COCOMO II,” B.

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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. Software quality measurement,” Magne Jørgensen, Advances in Engineering Software 30 (1999) 907–912.

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100+ Tech Conferences and Events to Attend in Europe 2020

Teamweek

In their words: This is an event for IT and business leaders and architects, cyber security experts, data scientists, software engineers from businesses of all sizes – including those involved in Cloud, network infrastructure, AI, DevOps, cyber security, data analytics, unified communications and IoT. Manchester, UK.