{"slug":"gjensidige-breaks-down-data-silos-and-speeds-ai-model-deployment-with-databricks","url":"https://findausecase.com/use-cases/gjensidige-breaks-down-data-silos-and-speeds-ai-model-deployment-with-databricks","title":"Gjensidige breaks down data silos and speeds AI model deployment with Databricks","description":"Gjensidige migrated to the Databricks Data + AI Platform to unify data engineers, scientists and analysts on one tech stack, rebuilding a single-person-dependent commercial renewal rules engine and cutting AI model development and deployment time from days or weeks to a few hours.","company":"Gjensidige","industry":"Insurance","aiCapabilities":["Generative AI","Retrieval-Augmented Generation"],"technology":["Delta Lake","Spark Declarative Pipelines","Lakeflow Jobs","Agent Bricks","Unity Catalog"],"deployment":"Public Cloud","problemStatement":"Gjensidige's data infrastructure was fragmented and overly reliant on legacy, on-premises systems, with a fragmented analytics solution that made it hard for teams to know what others were working on, and a critical commercial renewal process relied on complex scripts managed by a single individual, risking loss of access to a vital business function if that person left.","solutionApproach":"Gjensidige migrated to the Databricks Data + AI Platform, unifying data engineers, scientists and analysts on the same tech stack, rebuilding the commercial renewal rules engine with a modern architecture that a broader team could maintain, and implementing generative AI applications including retrieval-augmented generation (RAG) for real-time marketing actions.","businessValue":"With Databricks, Gjensidige has reduced the time it takes to develop and deploy AI models from days or weeks to just a few hours, broken down data silos across the company, and improved its ability to share and reuse data products across teams, enhancing cross-selling and customer engagement.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/gjensidige","dates":{"publishedAt":"2026-09-16T09:05:30.371Z","publishedAtSource":"pipeline","updatedAt":"2026-09-16T09:05:30.371Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/gjensidige-breaks-down-data-silos-and-speeds-ai-model-deployment-with-databricks. Bulk republication requires permission."}