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Managing Risks and Controlling Projects: How Data-Driven Project Management Come in Useful for Multi-Project Environments

Epicflow

This article is inspired by the webinar featuring Epicflow co-founder Jan Willem Tromp and professor Mario Vanhoucke based on his latest book “The Illusion of Control: Project Data, Computer Algorithms and Human Intuition for Project Management and Control”. So, what do you need for an efficient risk analysis?

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Main Risks of Aerospace Engineering Projects: How to Implement Wise Risk Management into Your Organization

Epicflow

So, the importance of risk management cannot be overestimated – it’s better to stay ahead of all possible threats to your project. . What are the most typical risks associated with aerospace engineering projects, and how to manage them effectively? Let’s figure it out in the article. . Step 1: Planning for risks .

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The Importance of Project Risk Management for A&E Firms

Progressus

With all the uncertainties that are inherent to construction projects, there are some key best practices when it comes to developing a credible cost estimate: an accurate project scope access to detailed documentation and historical data standard processes and work break down structures to ensure that no portions of the estimate are omitted and make (..)

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Hourly Workers Need Flexibility the Most, But Are Often the Least Likely to Get It

Harvard Business

In order to integrate and make sense of these definitions, we developed our own, which went through a blind review: employment scheduling practices that are designed to give employees greater control over when, where, how much, or how continuously work is done. Some have already started.

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How AI Is Changing Contracts

Harvard Business

But recent technological developments like artificial intelligence (AI) are now helping companies overcome many of the challenges to contracting. Additionally, AI contracting software can quickly assess risk in contracts (performing the risk analysis much faster than a team of lawyers) by identifying terms and clauses that are suboptimal.

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Make “Fairness by Design” Part of Machine Learning

Harvard Business

More recently, a study compared the commonly used crime risk analysis tool COMPAS against recidivism predictions from 400 untrained workers recruited via Amazon Mechanical Turk. With careful consideration, it can allow us to develop high-performing models that are accurate and conscionable.

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