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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. One thing is clear—new tools and their capacity to quickly analyze large data sets are proliferating quickly.

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

Teamweek

In 2022, we created 97 zettabytes (a zettabyte is 1 billion terabytes) of global big data! 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. TL;DR – Key Takeaways What does a data analyst actually do? What does a data analyst do?

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Skills Mismatch | What Is It & How to Bridge the Gap

Teamweek

For instance, an individual having a software engineering degree might not be a great fit for a customer service role. In the last couple of years (and especially over the last year), we’ve seen artificial intelligence and machine learning being adopted more widely across industries.

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100+ Tech Conferences and Events to Attend in Europe 2020

Teamweek

In their words: Returning to the Olympia London, the fifth Cyber Security & Cloud Expo event is co-located with the IoT Tech Expo, AI & Big Data Expo, 5G Expo and Blockchain Expo, so you can explore the future of these convergent technologies under one roof. They matter in society and governance. March 10-11 (22000+ attendees).

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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.