Any good ML model needs significant data & feature engineering to get the data ready for predictions/prescriptions
Trend ID, Graphing, Visualizations, Correlations, Causations
Case Studies
Quantifying Commodity Sentiment with AI
In this case study, Mosaic fine-tuned language models to analyze text and quantify public sentiment to explain commodity pricing with AI. Our team used sentiment model outputs to extract insights regarding price trends for a specific commodity and predict future price movements.