Ensuring AI

The UK’s largest multi-line insurer invests in team, tooling to bring an innovative edge to the industry.

Dataiku is working with Aviva, whose Customer Data Science Team is using the software to move the needle on leveraging AI to improve the insurance industry.

 

The Customer Data Science Team at Aviva built its personalization AI called ADA (short for Algorithmic Decision Agent) using Dataiku, and the AI is now successfully being leveraged by the business to better understand customers and deliver them better service that is personal and customized to their needs. The team estimates that their work - including going from raw data to getting ADA in production - is five times faster thanks to the efficiencies that Dataiku adds.

 

“Aviva sees that a big part of the future of insurance is digital and direct to consumer. The company  has invested heavily in a start-up type of environment. That drives us to create brilliant digital products and experiences, and data science is an important part of that,” said Tom Spencer, Head of Customer Data Science at Aviva. “What we were excited about when we saw Dataiku is that it felt like it was built by data scientists. It felt like it was coming from people who knew the industry and knew the way things were going.”

 

Aviva was able to make this shift into AI systems just the last few years - the Customer Data Science Team at Aviva started three years ago and was developed from scratch as a way to bring cutting-edge techniques from outside the industry, in. The data scientists on the team partner closely with colleagues that have deep insurance expertise in order to bring a data-driven outlook to all facets of the business.

 

“It’s very exciting to work with companies like Aviva who are at the bleeding edge of AI transformation in their industry,” said Jennifer Roubaud, Vice-President, Northern Europe & Middle-East at Dataiku. “We’re proud to not only give Aviva the tools to execute on their visions, but also to partner with them, helping to tackle key business problems and ensuring the sustainability of their AI strategies into the future.”

 

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