Introduction: Moving Beyond Predictive Accuracy  Prediction has been traditionally the backbone of applied data science. From ...

WRAL meteorologists Elizabeth Gardner and Grant Skinner break down the ingredients of predictive weather models, explaining ...

Forbes contributors publish independent expert analyses and insights. I am a risk communicator focused on the impact of weather on business. Jul 15, 2025, 08:30am EDT The combination of AI, advanced ...

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

Nvidia announced three new AI weather tools today. Together, they promise to improve the accuracy of weather forecasts while also making them accessible to more users.

It was only a generation or two ago that weather forecasts were not to be taken too seriously: funny-guy meteorologists on the local news wisecracking about ruined golf plans. That has long stopped ...

One of the biggest challenges early-stage startup founders face is predicting and managing revenue growth. In most organizations, this looks like top-down forecasting and starts with determining the ...

A simple balloon launch delivers a three-dimensional snapshot of the atmosphere that helps keep people on the ground informed and safe.

Including the temperature, air quality, and UV index ...

In the 20 years since Hurricane Katrina devastated New Orleans, hurricane scientists have made great strides toward understanding how climate change influences tropical cyclones, at the same time as ...