The insurance industry is well-known for taking a conservative approach to integrating new technologies. This is a sensible way of mitigating unknown operational risks, but ironic since the very heart of insurance is statistics and data analysis. Large scale data processing and machine learning is now surging into every aspect of modern business and the insurance industry has a place leading the charge.

In our talk we will describe 3 real-world projects that we have undertaken to enable insurance clients to learn from their data, improve their product-market fit and improve their business processes. Each project contains a different and interesting angle on data acquisition, processing and modelling, and as practitioners we get our hands dirty coding so will demonstrate some code and systems.