Using machine learning for insurance pricing optimization Google Cloud Blog

In contrast, after developing an experimental deep learning (neural-network) model using TensorFlow via Cloud Machine Learning Engine, the team achieved 78% accuracy in its predictions. This improvement could give AXA a significant advantage for optimizing insurance cost and pricing, in addition to the possibility of creating new insurance services such as real-time pricing at point of sale. AXA is still at the early stages with this approach -- architecting neural nets to make them transparent and easy to debug will take further development -- but it's a great demonstration of the promise of leveraging these breakthroughs.