SUMMARY
A leading international insurance company, specialized in auto insurance, uses TAZI Continuous AutomatedML platform for profit/loss micro-segmentation. The model provides insights on high and low profit micro-segments so that appropriate business actions such as price adjustments and risk updates can be taken on time.
Machine Learning can detect complex patterns in data and make accurate predictions. However, opaque reasoning or complexity of most ML approaches hampering their use and benefits in business practices. TAZI’s AutoML system is designed from the ground up to be understandable by business experts, enabling them to trust machine learning and stay ahead of continuously changing business dynamics. TAZI’s understandable machine learning includes understanding of machine learning models, as well as inputs, outputs and their business value. Business experts can also take or schedule actions through the model explanation interfaces.
