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

Epicflow

developing a poor project plan), Executing (e.g., 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. Step 2: Identifying risks . Step 3: Analyzing risks. Dawson, Scott.

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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 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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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. AI software, however, can easily extract data and clarify the content of contracts. (It Being able to identify and extract key data points helps firms organize and execute contracts as well.

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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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The Importance of Project Risk Management for A&E Firms

Progressus

Give Accurate Project Estimates Deriving high-quality cost estimates depends heavily on the quality of data, for example, historical databases, comprehensive project plans, and standard work break down structures make it easier to make comparisons to similar projects. All estimates should link back to relevant data. Out-of-date data.