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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. While some tools (e.g., One thing is clear—new tools and their capacity to quickly analyze large data sets are proliferating quickly.

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Risk Management Resources

Herding Cats

Risk Management is essential for development and production programs. Risk issues that can be identified early in the program, which will potentially impact the program later, termed Known Unknowns and can be alleviated with good risk management. Effective Risk Management 2 nd Edition , Edmund Conrow, AIAA, 2003.

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10 GDPR Questions to Ask Before Starting a New Project

Rebel’s Guide to PM

And it has huge implications for people managing projects that store, capture or process personal data. But beyond the setting up of GDPR principles in your business, what does GDPR look like for project management? In this article I’ll look at 10 questions managers should ask themselves before starting a new project.

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A Compendium of Risk Management Resources

Herding Cats

This blog page is dedicated to the resources used to manage the risk encountered on software-intensive systems using traditional and agile development methods. Let's start with a critical understanding of the purpose of managing risk on software development projects. reducible and irreducible ? De Meyer, C.

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Project Management Maturity Models: A Basis for Reaching Your Organization’s Business Success

Epicflow Blog

Do you know your organization’s project management maturity level? If not, it’s high time to change the situation: project management maturity has a direct impact on a company’s competitiveness and business success. . What is project management maturity exactly, and how to define its level?

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

Teamweek

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. Analyzing data — identifying trends and patterns in the data using tools Python or SQL. Skills to look for in a data analyst 1.

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Webinar Recap: Project Performance Measurement – Part 2: What to Measure and How to Report

MPUG

We are a project management consulting company in the Baltimore Washington area. Background myself, I’ve been doing project program, PMO management for going on, I guess, 30 years now. By education and training, I’m actually a software developer. And in project management terminology, we must set the baseline.