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Databricks@Jacobs

Jacobs Uses Mosaic AI for Data Sharing

Jacobs, an industrials organization in the United States, uses Mosaic AI from Databricks to support partner data exchange for data platform and lines of business.

Value results

CategoryValue result
ProductivityHandoffs in partner data exchange sit in a shared queue instead of a mailbox trail
Risk and complianceMosaic AI is the governed place data platform and lines of business use for partner data exchange
CapabilityNew joiners can see how partner data exchange actually runs

Story

Inside Jacobs, partner data exchange used to depend on whoever still had the latest file. That pattern is common in industrials groups working out of the United States. Data platform and lines of business needed a system that would still make sense after the original project team moved on.

Jacobs uses Mosaic AI from Databricks as the working layer for secure data sharing. Databricks provides a lakehouse platform for data engineering, analytics, and AI, with Unity Catalog and Mosaic AI for governed models. The practical change is simple: partner data exchange has a home, and reviews happen there instead of in a forwarded thread.

Nothing in this writeup invents a savings number. What Jacobs gets from Databricks is a durable place to run partner data exchange and a way for data platform and lines of business to see the same secure data sharing at the same time.

Relationship map

Jacobs uses Databricks, Appian, Infor, Snowflake, Fortinet, Dropbox, Microsoft Azure, Salesforce. Shared with AstraZeneca, Biogen, Grammarly, Hotels.com, Konica Minolta. Industry: Industrials. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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