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

Epicflow

Read more: Main Risks of Aerospace Engineering Projects: How to Implement Wise Risk Management into Your Organization. At the same time, cyber risks are peculiar not only to the defense industry, they’re common within medical, IT, construction, and other sectors. When calculated before project commencement, it serves as a benchmark.

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How the Architecture of Hospitals Affects Health Outcomes

Harvard Business

Cofounded by Michael Murphy, a Harvard-trained architect who has devoted himself to improving the social impact of built environments, MASS is changing the way hospitals are designed and constructed. In 2014, Murphy made a presentation on the history of hospital design at Ariadne Labs.

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The Case Against Pay Transparency

Harvard Business

Some years ago I asked a group of 700 engineers from two large Silicon Valley companies to assess their performance relative to their peers. As a result, some of these Harvard employees earned in excess of $30 million in yearly pay, due to performance that was truly exceptional against industry benchmarks. The results were startling.

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You Don’t Need to Be a Silicon Valley Startup to Have a Network-Based Strategy

Harvard Business

But most successful companies used electricity and motors to reinvent their existing businesses, whether in manufacturing, transportation, or construction. Or it could be indirectly, as Opower does in giving people benchmarking data on energy usage to foster conservation and efficiency.

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BIS Slams the Fed; Ridiculous Question of the Day: "Is The Fed Going To Attempt A Controlled Collapse?"

MishTalk

It is essential to move away from debt as the main engine of growth. " The drop in construction spending is a necessary correction of previous overinvestment and is unlikely to be entirely reversed. The BIS slammed the Fed in numerous places and in numerous ways, especially regarding the Fed''s reliance on QE.

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A Guide to Solving Social Problems with Machine Learning

Harvard Business

In bail, it turns out that different forms of crime are correlated enough so that an algorithm trained on just one type of crime winds up out-predicting judges on almost every measure of criminality we could construct, including violent crime. The point is that the outcome you select for your algorithm will define it.

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