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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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AI-Powered Clean Tech: Transforming Business Operations

Tom Spencer

Consulting firms can bring expertise in technology assessment, data management, risk management, regulatory compliance, as well as acting as a catalyst for change. Consultants can evaluate existing systems, infrastructure, and data capabilities to identify areas where AI-based systems can be leveraged effectively.

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

Epicflow

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. Data-driven decision-making In a highly risky and uncertain environment, it’s essential to make reasonable decisions.

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

Epicflow

Finally, increased digitalization carries cybersecurity risks that can put sensitive data as well as a project’s safety at stake. . Risks specific for the aerospace and defense industry. The classifications of risks mentioned in the previous section will also be useful to determine possible threats. . Dawson, Scott.

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Saving ?osts in a Long-Term Perspective: How a Resource Management Solution Will Help You Gain More in the Long Run

Epicflow

Poor risk management In times of instability and uncertainty, projects are vulnerable to negative risks more than ever, which highlights the need for thorough risk analysis and preparation to respond to them beforehand. Cost Cutting: Importance of Strategy, Risks Posed. References Kenton, Will.

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The Impact of Carbon Taxation on Supply Chains in China

Comatch

The European Union will start to demand carbon footprint data from 2023 and introduce a carbon border tax from January 2026. Companies need to start acting now to get data for compliance in 2023 and take this opportunity to assess carbon risks and mitigation actions together with suppliers.

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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. Sampling bias may produce models trained on data that is not fully representative of future cases. Pair data scientists with a social scientist.

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