AI Use Case

Improve weather forecasting accuracy

Improve weather forecasting accuracy using machine learning applied to multiple data sources. The aim is to improve an existing process that is typically already a sophisticated user of computer modelling.



Revenue - Higher response rates,Operational Support - Situational awareness,Risk reduction - Predictive diagnosis

Case Studies

US National Oceanic and Atmospheric Administration ~The US National Oceanic and Atmospheric Administration is using AI to improve real-time decision-making for high-impact weather,University of Essex~University of Essex researchers compare machine learning models for improving weather condition classification of images,Stanford University~Stanford University researchers improve weather forecasting by over 40% on historic data with machine learning


Public And Social Sector


Data Sets

Time series,Structured / Semi-structured,Images

AI Technologies

Machine Learning (ML),Model Architecture - Decision Tree,Algorithm - Linear Regression,ML Task - Prediction - Regression,Algorithm - Genetic,Model Architecture - Artificial Neural Network (ANN),Algorithm - Principal Component Analysis (PCA),Model Architecture - Support Vector Machine (SVM),Model Architecture - Gradient boosting,Algorithm - AdaBoost (Adaptive Boosting)

Potential Vendors