Remove 2003 Remove Measurement Remove Optimization Remove Risk
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5 rules that transform outsourcing outcomes

CIO Business Intelligence

It is the product of nearly 20 years of research at the University of Tennessee, beginning with a deep-dive funded by the United States Air Force on outcome-based outsourcing in 2003. So when you break a process down into small parts, it is easy to fall into measurement minutiae.

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What Will Drive Innovation in this Great Reset

Andrew White

Emergency measures are undertaken with little planning. Cost optimization and short-term value generating activity will be explored. Many highly leveraged firms will be at risk; debt will be at record levels in public and private so anyone who has cash will be predatory. Things stop working. This phase is all about survival.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. It provides the occasion for deeper exploration of which inputs that can be influenced and which risks can be proactively managed. Our team does a lot of forecasting.

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Using Empirical Bayes to approximate posteriors for large "black box" estimators

The Unofficial Google Data Science Blog

Posteriors are useful to understand the system, measure accuracy, and make better decisions. Methods like the Poisson bootstrap can help us measure the variability of $t$, but don’t give us posteriors either, particularly since good high-dimensional estimators aren’t unbiased.

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