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Hugging Face@DCOH

DCOH Brings Software Delivery onto Hugging Face

DCOH, an information technology organization in the United States, uses Inference Endpoints from Hugging Face to support engineering for developers.

Value results

CategoryValue result
CapabilityEngineering stays visible to adjacent teams through Inference Endpoints
CapabilityDevelopers work from the same Inference Endpoints record for software delivery
CapabilitySoftware delivery can be reviewed without waiting on a personal export

Story

Information Technology work at DCOH spans more than one site, even when headquarters sits in the United States. Software delivery was splitting across regional habits. Developers asked for a shared way to run engineering without freezing local judgment.

Hugging Face (Inference Endpoints) is what they standardized on. Hugging Face is the open platform for machine learning models, datasets, and inference that teams use to share and serve models. DCOH uses it as the system of record for software delivery, with developers as the primary operators and other groups coming in through the same queue.

Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.

Relationship map

DCOH uses Hugging Face, BMC, Anthropic, monday.com, AWS, UiPath, Genesys, Databricks, Smartsheet, Palo Alto Networks. Shared with Accor, Airwallex, Alcoa, American Electric Power, ASML. Industry: Information Technology. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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