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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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The Ultimate Guide to Manufacturing Project Management: Best Practices and Strategies

Epicflow

Read the article to gain insight into the specifics of manufacturing project management and learn useful recommendations on the effective orchestration of projects in the industry. Plan for uncertainties and risks Remember that project plans should not be deterministic as if nothing is going to change during the work on a project.

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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 3: Analyzing risks.

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TCIP #016 – Malaysia Airlines Crisis Management with Jonathan Hemus

Melissa Agnes

If you’re a regular reader/listener of mine, I don’t have to tell you what I think of this and the lack of risk analysis (or common sense) that went into this “campaign”, but that aside, as this incident happened after this podcast was recorded, we do not discuss its foolishness in this episode.

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How AI Is Changing Contracts

Harvard Business

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. And it can reduce the risk of human error in contract drafting and review. New Processes Require New Skills.

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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. The results suggest that COMPAS has learned implicit racial biases, causing it to be less accurate than the novice human predictors.

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