Case Study: Sandvik Group accelerates AI-driven innovation and breaks down data silos with Databricks

Enabling collaboration among competing divisions

Sandvik Group, a global company with more than 20 divisions across three business areas, faced a major challenge in unifying data across teams while still allowing each division to operate independently. To support its AI ambitions and improve efficiency in mining and manufacturing, Sandvik turned to Databricks and the Databricks Data Intelligence Platform to break down data silos and enable better collaboration.

Databricks implemented centralized data connectivity that let Sandvik share data, code, models, and other assets across divisions without disrupting local autonomy. The platform also supported serverless SQL and Python workflows, real-time monitoring of mining equipment, and Unity Catalog for better data visibility. As a result, Sandvik improved productivity, accelerated AI-driven innovation, streamlined engineering workflows, and helped customers reduce downtime and operational costs through faster, more accurate maintenance insights.

Sandvik Group

William Smedberg

AI Portfolio Manager