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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. The future of AI in project management will depend on how we implement, use, and govern it!

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12 Must-Have Skills for a Data Analyst You Should Test

Teamweek

And with 49% of executives recognizing a lack of talent in the workforce to analyze data, the need to fill this talent gap is evident. Some of the most important data analyst skills include data analysis, statistical programming languages, data management, data visualization, good communication skills, machine learning and even Excel skills.

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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. Planning and Executing Time-Bound Projects,” Eduardo Miranda, IEEE Computer , March 2002, pp. 5 Oct 1990, Page 21.

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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. London, UK.