
Machine learning (ML) is dramatically transforming the insurance industry by enhancing the precision of claims predictions and premium determinations. This advanced technology offers insurers the tools to analyze vast datasets, identify patterns, assess risks, and automate processes for efficiency and cost-effectiveness. However, as ML models become more integral to the industry’s decisions, the need for explainability comes to the forefront.










