How Are Labor Demand Forecasts Made in Human Resources Planning?

Discover how human resource planning might be used to estimate the correct demand for labor in a given market, both qualitatively and quantitatively.
World Business Council for Sustainable Development (WBCSD)

Financial quantification: applying return and cash-flow methods

Introduction: always model the counterfactual To compete for capital, sustainability must be framed in the same quantitative ...
Bloomberg L.P.

Marshall Wace Selects Bloomberg’s Multi-Asset Class Fundamental Risk Models to Enhance Quantitative Investment Strategies

NEW YORK – Tuesday December 2, 2025 – Bloomberg today announced that Marshall Wace, a leading global liquid alternatives manager with $70BN+ in assets, has adopted Bloomberg’s Multi-Asset Class ...
Frontiers

Ultra-short-term load forecasting and risk assessment method for distribution networks based on the VMD–DeepAR model

1 China Southern Power Grid Guizhou Power Supply Co., Ltd., Guiyang, Guizhou, China 2 Dongfang Electronics Co., Ltd., Yantai, Shandong, China Introduction: With increasing uncertainties on both the ...
HUB

Artificial intelligence reimagines infectious disease forecasting

A new AI tool to predict the spread of infectious disease outperforms existing state-of-the-art forecasting methods. The tool, created with federal support by researchers at Johns Hopkins and Duke ...
Popular Science

Weather forecasting improves with AI, but we still need humans

Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. Weather forecasts are notoriously unreliable. Most people can relate ...
Scientific Research Publishing

Application of Satellite Rainfall Estimates in Quantitative Forecasting of Monthly Rainfall Using a Multi-Model Ensemble Approach, Kafue River Basin ()

Department of Geography and Environmental Studies, School of Natural Sciences, University of Zambia, Lusaka, Zambia. This study evaluates the reliability of North American Multi-Model Ensemble (NMME) ...
ecommercefastlane

Supply Chain Forecasting: Benefits, Challenges, & Top Forecasting Methods

Supply chain planningis almost impossible without having an understanding of the future. And since an ecommerce supply chain consists of several moving parts, how does an online brand go about supply ...
pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...
Forbes

Forecasting Accuracy: Overcoming A Major Sales Industry Hurdle

Sales forecasting—estimating the future sales of products or services based on historical data, market trends and other relevant factors—is important for any organization. According to Aberdeen, 97% ...
Grist

Traditional weather forecasting is slow and expensive. AI could help.

Every day, meteorologist Hannah Wangari takes the free graphs and maps produced by the five forecasting models she subscribes to and interprets what she sees. “What’s the likelihood of rain in ...