Making better predictions through advanced ensemble techniques

Organizations plan for their future by harnessing AI for forecasting and predictive models. However, the predictions based on such models are often unreliable or inaccurate because the modeling does not include all variables that could impact future trends, and the ML neural network increasingly memorizes data instead of learning it. Apexon’s Forecasting and Optimization Model addresses both these issues. The first one, by its ability to handle a multivariate framework, advanced ensemble techniques to make forecasts robust over time, and incorporating lag features for better accuracy. Plus, our proprietary hyperparameter optimization framework ensures the advanced ML-based models achieve optimal neural network learning, so you can be sure of better performance over time.