Forecasting the Future
Predictive analytics uses historical data to predict future outcomes. LLMs can be used to build and interpret predictive models, making this advanced capability more accessible.
Building Predictive Models with AI
You can describe a dataset and your prediction goal to an AI (e.g., "Using this customer data, predict which users are likely to churn next month"), and it can generate the necessary code (e.g., in Python) to train a machine learning model, such as a logistic regression or a random forest, to perform the prediction.
Interpreting Results
Beyond just building the model, an LLM can help you interpret the results. It can explain which features were most important in the model's predictions and summarize the model's performance in plain English, bridging the gap between complex data science and business decision-making.