With a passionate team and a clear mission, a regional food bank needed a clearer path to making data-driven decisions.

Our client implemented machine learning models with a goal of improving forecast accuracy over prior methods. While they led to better predictive accuracy, their complexity made them difficult to interpret.

Join industry experts as they discuss the critical challenges and opportunities of adopting AI in real-world business contexts.

In this video our founder, John Elder, explores the two persistent challenges holding data analytics professionals back—and ways to overcome those challenges.