Like all businesses during the pandemic, banks and financial institutions are facing numerous challenges — one of the biggest being the increased difficulty in accurately predicting the evolution of their businesses when new patterns and indicators emerge daily in this volatile global market. The good news is that AI can make a notable difference for these organizations when facing such instability, not so much at the algorithm or model-level, but at the testing and validation level.
In this webinar, DJ Human, Customer-Facing Data Scientist at DataRobot will discuss the potential for MLOps and challenger models to create simulation and A / B testing scenarios for the banking industry, especially in the context of the uncertainty we are experiencing today. The insights gathered from these tests have the potential to greatly improve the decision-making process.