Skip to content
storyUnited StatesInformation TechnologyProductivityRisk and complianceCapability

Story

Informatica@CloudBees

Informatica at CloudBees: Feature Pipelines

CloudBees, an information technology organization in the United States, uses Claire GPT from Informatica to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
ProductivityHandoffs in applied machine learning sit in a shared queue instead of a mailbox trail
Risk and complianceClaire GPT 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

CloudBees grew feature pipelines faster than the local tools around it. From the United States, information technology teams still had to serve customers and internal partners who expected a straight answer. Data scientists and ML engineers were the ones stitching the picture together by hand.

Rolling out Claire GPT put applied machine learning on Informatica. Informatica is an enterprise data management platform for integration, quality, catalog, and master data across clouds. CloudBees keeps the product in the path where work already happens, so data scientists and ML engineers do not context-switch into a graveyard system used only for audits.

The visible result is steadier applied machine learning. Feature pipelines is easier to inspect, and adjacent groups can join data scientists and ML engineers without a guided tour of someone's desktop.

Relationship map

CloudBees uses Informatica, Snowflake, Anthropic, Splunk, Dataiku, HubSpot, VMware. 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.

100%

Similar stories

Search Valuerepo

Search stories, solutions, customers, and more.

Type to search stories, solutions, and companies

↑↓Navigate↵OpenEscClose

View all