Case Study: Gjensidige achieves faster AI model development and better data collaboration with Databricks

Tackling the challenge of relying on that one person who built it all

Gjensidige, an insurance company with data at the core of its operations, needed a modern, scalable platform to unlock more value from its data while improving collaboration across teams and supporting advanced AI use cases. Like many organizations, it faced the challenge of moving beyond legacy systems and reducing reliance on a single person who had built much of the original setup.

With Databricks, Gjensidige improved automation and collaboration across data engineers, data scientists, and analysts on the same tech stack. The company cut AI model development and deployment time from days or weeks to just a few hours, and it made it easier to share and reuse data products across teams, accelerating innovation and enabling new generative AI opportunities.

Gjensidige

Alexandra Diem

Head of AI and Machine Learning Operations