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Using Generative AI to Drive Corporate Impact

TechEmpower - Project Management

Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact. In the sphere of software engineering , AI is pivotal for corporate IT by automating coding, optimizing algorithms, and enhancing security to boost efficiency and minimize downtime.

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Agile project management- A tutorial

Binfire

The Agile project management methodology has been used by software engineers and IT professionals for the past sixteen years. In the late twenty century, many software engineering researchers in academia were studying the disturbing fact that most software and IT projects finish late or fail to finish at all.

Agile 97
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Agile project management- A tutorial

Binfire

Until recently some academics and Project Management Institute (PMI) considered Agile method not a serious contender in project management due to the fact that is very hard to set a due date for project’s competition in Agile method. The ideal team size for the core developers in Agile is around 7-10 engineers.

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Top AI Interview Questions (and Answers) for 2024

Teamweek

Given the hype over AI technology, it’s easy to forget that behind every bot lies a human brain. Scenario-based skills assessments, project reviews, and behavioral questions are all worth considering. AI is diverse, and few people apply to be just an artificial intelligence engineer. NLP goes beyond detecting keywords.

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What Is Value Stream Mapping? (VSM)

Wrike

Using the value stream mapping approach, everyone from software engineers and developers to project managers can refresh their knowledge of how workflows can or should go. The role of technology in value stream analysis The advent of digital transformation has significantly influenced how businesses conduct value stream mapping (VSM).

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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. & Zein, S.,

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Estimating is a Learned Skill

Herding Cats

“Believing is Seeing: Confirmation Bias Studies in Software Engineering, “Magne Jørgensen and Efi Papatheocharous, 41st Euromicro Conference on Software Engineering and Advanced Applications (SEAA). Software quality measurement,” Magne Jørgensen, Advances in Engineering Software 30 (1999) 907–912.