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Measuring Models' Uncertainty: Conformal Prediction

Dataiku

For designing machine learning (ML) models as well as for monitoring them in production, uncertainty estimation on predictions is a critical asset. It helps identify suspicious samples during model training in addition to detecting out-of-distribution samples at inference time.

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Uncertainties: Statistical, Representational, Interventional

The Unofficial Google Data Science Blog

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

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Dell cuts jobs amid growing economic uncertainties

CIO Business Intelligence

In its latest filing, the company said it continued executing cost management measures, “including limiting external hiring, employee reorganizations, and other actions” to align its investments with strategic priorities and customer needs. These actions resulted in a reduction in overall headcount.

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Regulatory uncertainty overshadows gen AI despite pace of adoption

CIO Business Intelligence

It’s no surprise, then, that according to a June KPMG survey, uncertainty about the regulatory environment was the top barrier to implementing gen AI. So here are some of the strategies organizations are using to deploy gen AI in the face of regulatory uncertainty. AI is a black box.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

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The Importance of Agility in FP&A To Manage Uncertainty

Jedox

Times of crisis mean uncertainty, both personally and professionally. In this blog post, we’ll look at the importance of agility in FP&A in being able to better manage uncertainties, even during uncertain times and build resilience for the future. Business Continuity. Better agility increases resiliency.

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AWS growth slows further by persistent macroeconomic uncertainty

CIO Business Intelligence

Revenue growth at Amazon’s cloud computing division, Amazon Web Services, continued to slow in the fourth quarter as enterprises advanced their cost-cutting measures, brought on by uncertain macroeconomic environment. Despite a 20% year-on-year increase in revenue, reaching $21.4 and 33% growth seen in Q3 and Q2 respectively.