Data Challenges Ahead

The recent data landscape has drastically shifted, rendering holdout sets from 2020 to today largely ineffective for model training. Long-term forecasts may offer some protection against economic downturns, but the unique nature of recent events complicates this assumption. As models are developed, understanding underlying biases and adapting to new data generation processes is crucial for accurate predictions.