An insurer’s ability to handle claims efficiently and accurately drives its profitability, customer experience, and long-term financial health. However, because of the vast amounts of internal and external claims data, insurers across the globe are facing unprecedented challenges that make it difficult to support the customers’ high standards and expectations and maintain a healthy bottom line.
With automated machine learning, these challenges become opportunities that allow insurers to intelligently analyze large amounts of multimodal data, including numeric and categorical data, unstructured text, images, and sensor data.
