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Informatica@Runway

Runway Brings Feature Pipelines onto Informatica

Runway, an information technology organization in the United States, uses Master Data Management from Informatica to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
ProductivityFewer stalled items because feature pipelines has a clear owner
Risk and complianceMaster Data Management is the governed place data scientists and ML engineers use for applied machine learning
CapabilityNew joiners can see how applied machine learning actually runs

Story

Inside Runway, applied machine learning used to depend on whoever still had the latest file. That pattern is common in information technology groups working out of the United States. Data scientists and ML engineers needed a system that would still make sense after the original project team moved on.

Runway uses Master Data Management from Informatica as the working layer for feature pipelines. Informatica is an enterprise data management platform for integration, quality, catalog, and master data across clouds. The practical change is simple: applied machine learning has a home, and reviews happen there instead of in a forwarded thread.

Nothing in this writeup invents a savings number. What Runway gets from Informatica is a durable place to run applied machine learning and a way for data scientists and ML engineers to see the same feature pipelines at the same time.

Relationship map

Runway uses Informatica, Cartesia, Genesys, Palo Alto Networks, Qlik, Autodesk, Elastic, Zoom. Shared with 1Password, AbbVie, Academy Sports, Accor, ACS Group. Industry: Information Technology. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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