The insurance industry is often characterized as traditional and slow-moving, or worse, one that is not as customer-centric as it should be — making getting data science and AI initiatives off the ground a challenging undertaking. However, when done properly and with thoughtful alignment of people, processes, and technology, insurance companies can transform the way they work with data, generating value across a variety of use cases.
In this talk, Dataiku’s VP of Strategy Sophie Dionnet will be joined by Elena Furlan, Senior Data Scientist at Aviva, the U.K.’s largest multi-line insurer, to discuss the vast potential for AI in the insurance space, from theoretical insights to practical implementations. Specifically, Elena will give an example of an advanced AI project that her team worked on — the business problem Aviva wanted to address, what worked well, challenges involved, tangible results, and more — and how they will continue to push forward on their journey to Enterprise AI.