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Measuring Models' Uncertainty: Conformal Prediction


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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Forecasting uncertainty at Airbnb

O'Reilly on Data

Continue reading Forecasting uncertainty at Airbnb. Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform.


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How scenario planning helps you take control in uncertainty


It’s no secret the most successful, forward-thinking organizations can adapt to change fast. They have an eye on the future, plan for different scenarios, and as a result – end up miles ahead of their competitors.

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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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Complimentary Gartner Report: Improve S&OP Decision Making with Scenario Planning

But with uncertainty on the rise, they need to build more flexibility into their process to account for changing business conditions. Traditionally, planning teams have aimed for one number, one plan. It’s time to shift gears and embrace variability with different scenarios.

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What your CFO really needs in periods of economic uncertainty

CIO Business Intelligence

The pressure is on to navigate economic uncertainty. Gartner’s downward revision of projected worldwide IT spending in 2023 from 5.1% growth underscores how inflation, interest rate fluctuations, and consumer spending are reshaping forecasts, investment portfolios, and the CIO agenda.

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Handling uncertainty: panic vs. precautions…

Timo Elliott

A more flexible way of attacking uncertainty is to look beyond specific models and instead benchmark against “other people like us.” But the numbers appear to be very different across regions—because of wide variations in age, susceptibility, and treatment methodologies of different populations.

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Implementing Supply Chain Network Design

Rising volatility and uncertainty have changed that. How do you find the optimum balance? That’s what Supply Chain Network Design is all about. Traditionally, supply chain network design has been done on a one-off or project basis. This guide offers hands-on advice that will help you use network design to achieve successful results.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Don't let uncertainty drive your business. Watch this exclusive demo today!

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A Deep Dive Into Supply Chain Strategy: Why Yours Isn't Working

Speaker: Michelle Meyer, Founder and CEO of MatterProviders

In this exclusive webinar, she will explore ways to develop and perfect your new, innovative supply chain design in this post-pandemic era of economic uncertainty. Fortunately, she's here to walk you through the future of supply chain strategy and why your current approach is probably not working.