Title
Enabling collaboration among competing divisions
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Company
Sandvik
…g, mining and infrastructure, and 41,000 employees spread across 170 countries, Sandvik knows all about those benefits and challenges. Being a manufacturer with thousands of products being delivered to different cu…
Description
Sandvik used the Databricks Data + AI Platform to let its 20+ autonomous, sometimes competing, divisions share AI models and data assets while retaining independence, including AI-driven real-time monitoring of mining equipment sensor data to recommend maintenance actions and reduce downtime.
…ompeting divisions With three business areas, operations all over the world and over 20 divisions, each with its own operational focus, it’s safe to say that Sandvik Group faces a challenge in unifying their data.…
…ne team has built and use it in other parts of the organization,” William said. This allows the seamless transfer of AI models, code and other data assets across the organization, fostering greater collaboration and efficiency. “The packaging and distribution of data, code, models and other assets can then…
…Platform allows the company to analyze sensor data from machines in operation, helping customers optimize maintenance schedules and minimize downtime. “If a sensor detects an issue, AI models can immediately provide a solution to…
Problem
Sandvik's business units operate autonomously and don't typically share data with others, sometimes because they are direct competitors, which led to data silos and inefficiencies, as innovations and insights generated by one division could not easily be applied across the organization.
…data and being able to share insights and projects across divisional borders. “Each of our business units operates autonomously and doesn’t typically share data with others, sometimes because they are direct competitors,” William said. This structure led to data silos and inefficiencies, as innovat…
Solution
Using the Databricks Data + AI Platform, Sandvik enabled centralized data connectivity without disrupting divisional autonomy, using serverless compute for SQL and Python so developers can deploy prepackaged assets in seconds, AI models for real-time monitoring of mining equipment sensor data to recommend maintenance actions, and Unity Catalog to give developers visibility across environments.
…can then be used by other teams, from raw data to serving of the final product. Using serverless compute, both for SQL and Python, both the developer and consumer experience becomes seamless and without wait times. Developers can simply take prepackaged assets and deploy them on their own data in a matter of seconds,” William continued. A key use case at Sandvik has also involved leveraging AI…
…Platform allows the company to analyze sensor data from machines in operation, helping customers optimize maintenance schedules and minimize downtime. “If a sensor detects an issue, AI models can immediately provide a solution to…
…s Data + AI Platform to streamline the development process for their engineers. Through the platform’s Unity Catalog, developers gained visibility across multiple environments, making it easier to manage data workflows and test new AI models. This reduced the need for manual intervention and helped accelerate innovation.…
Business value
The platform helps customers optimize maintenance schedules and minimize downtime, has the potential to drastically reduce operational costs for customers by preventing equipment failures, and has helped developers work faster and more productively.
…Platform allows the company to analyze sensor data from machines in operation, helping customers optimize maintenance schedules and minimize downtime. “If a sensor detects an issue, AI models can immediately provide a solution to…
…ased on a vast database of machine manuals and historical data,” William noted. This application of AI has the potential to drastically reduce operational costs for customers by preventing equipment failures. Lastly, Sandvik has also leveraged Databricks Data + AI Platform to streamline…
…e Databricks Data + AI Platform has been a game changer in terms of efficiency. It helps our developers work faster and more productively.” The use of real-time monitoring with added AI problem-solving has already show…
Headline outcome
…Platform allows the company to analyze sensor data from machines in operation, helping customers optimize maintenance schedules and minimize downtime. “If a sensor detects an issue, AI models can immediately provide a solution to…
Industry
Manufacturing
…ce their operational efficiency and customer solutions. Share this post Details Industry : Manufacturing Cloud : Azure Product : Agent Bricks , Delta Lake , Lakeflow Jobs , Spark Decla…
Technology
Databricks, Agent Bricks, Delta Lake, Lakeflow Jobs, Unity Catalog
…tomer solutions. Share this post Details Industry : Manufacturing Cloud : Azure Product : Agent Bricks , Delta Lake , Lakeflow Jobs , Spark Declarative Pipelines , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…
Use case type
Predictive operations
…Platform allows the company to analyze sensor data from machines in operation, helping customers optimize maintenance schedules and minimize downtime. “If a sensor detects an issue, AI models can immediately provide a solution to…
AI capabilities
Predictive Analytics, Fraud & Anomaly Detection
…Platform allows the company to analyze sensor data from machines in operation, helping customers optimize maintenance schedules and minimize downtime. “If a sensor detects an issue, AI models can immediately provide a solution to…
Deployment model
Cloud
…ized data connectivity, without disrupting the autonomy of each business unit. “With Databricks Data + AI Platform, divisions can operate independently while remaining connected in the background. That has two great advantages: more efficiency within each individual data team…
Deployment options
cloud
…ized data connectivity, without disrupting the autonomy of each business unit. “With Databricks Data + AI Platform, divisions can operate independently while remaining connected in the background. That has two great advantages: more efficiency within each individual data team…
Capture details
- Captured
- 07 Sept 2026, 06:04 UTC
- Extractor
- fetch-strip@1
- Snapshot hash
- f0fd4d009c772363abc203220c403267c03f5daf686fb08e462256d7243dc4b6