Machine learning models can significantly enhance prediction accuracy, but their complexity makes them hard to understand and monitor. In this session we will explore new tools that can break the trade-off between accuracy and explainability - a critical step for the future evolution of machine learning in the finance and insurance industries.
Research Scientist, Earnix
Can all financial organizations become analytics-driven?
How to achieve full analytical agility - even under pressure
The roadmap to an agile, organization-wide analytics machine.
