F. Hoffmann-La Roche is the world’s leading provider of cancer treatments, biotech company, 4th largest pharmaceutical company and currently Europe’s 3rd largest company by market cap.

This session will explore Roche’s Snowflake environment, Approach to Data Mesh incl. Object tagging as mandatory Data Governance, Cortex AI incl. MCP Server, Data Observability supporting Data Mesh incl. Use Case deep dive & success stories, and Roadmap with Pharma Technical Domain.

DNB, Norway’s largest bank, began building a cloud-based self-service Data & AI Platform in 2017, delivering its first capabilities by 2018. Initially focused on ML and analytics, the platform expanded in 2021 to include traditional data warehouses and modern data products. Snowflake was officially launched in 2023 after a successful PoC and pilot.

In this talk, we’ll walk through our journey.

Where We Came From

•Discover how legacy data warehouse bottlenecks sparked a shift toward decentralised, self-service data capabilities.

Where We Are

•Learn how DNB enabled teams to own and operate their data products through: •Streamlined domain onboarding •“DevOps for data” and “SQL as code” practices •Automated services for historisation (PSA)

Where We’re Going

•Explore how DNB is evolving its data mesh with: •A hybrid model of decentralised and centralised data products •Generative AI, metadata automation, and development support •Enhanced tooling and services for data consumers