Why causal AI works when other forecasting models fail | MarTech
Causal AI reorients your approach from static prediction to rolling recalibration. Its strength isn't just in making predictions; it emphasizes real-time adjustments based on current data, improving responsiveness to market changes.
Currently, affluent buyers are prioritizing strategic decision-making like affordability and long-term value, marking a shift toward what is termed 'smart luxury' in real estate.