Case Study: Wells Fargo achieves explainable AI and stronger model risk management with H2O.ai

Wells Fargo strengthens explainable AI and model risk management with H2O.ai

The customer, Wells Fargo, a heavily regulated bank, faced challenges in building a world-class data science team and ensuring the transparency and accountability of its machine learning models to meet serious regulatory mandates. To address this, they partnered with vendor H2O.ai and utilized its H2O-3 platform to help manage model risks related to bias, fairness, and conceptual soundness.

H2O.ai provided Wells Fargo with a solution that enabled explainable AI, which was critical for managing machine learning model risk in the financial industry. The implementation helped the bank's data scientists and business decision-makers better understand their models, thereby increasing trustworthiness and meeting regulatory requirements. While specific measurable results are not detailed in the text, the successful partnership allowed Wells Fargo to advance its data science capabilities with a focus on interpretability and risk management.

Wells Fargo