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 is 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 gives 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.

CHECK OUT DATAIKU: [ Ссылка ]

EGG ON AIR: [ Ссылка ]

BRIGHTTALK WEBINARS: [ Ссылка ]

DATA SCIENCE PIONEERS DOCUMENTARY: [ Ссылка ]

PARTNER ECOSYSTEM: [ Ссылка ]

DATAIKU ACADEMY: [ Ссылка ]

DATAIKU COMMUNITY: [ Ссылка ]

DATA SCIENCE AND ANALYTICS MEETUPS: [ Ссылка ]

BANANA DATA PODCAST: [ Ссылка ]

Linkedin: [ Ссылка ]
Twitter: @dataiku
Instagram: @dataiku

свернуть