Generative AI is well suited to tasks involving language, synthesis, and open-ended reasoning. Predictive machine learning still tends to outperform it on structured forecasting and classification tasks with clean historical data.
We regularly combine both — a predictive model to score or forecast, and a generative layer to explain or act on that output in natural language.
Picking the right tool for the job, rather than defaulting to the newest one, is usually what separates a reliable AI system from an impressive demo.