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Story

IBM@Compensar

Compensar Uses IBM Cloud for Model Serving

Compensar, an information technology organization in the United States, uses IBM Cloud from IBM to support applied AI delivery for ML and product teams.

Value results

CategoryValue result
ProductivityFewer stalled items because model serving has a clear owner
ProductivityHandoffs in applied AI delivery sit in a shared queue instead of a mailbox trail
CapabilityNew joiners can see how applied AI delivery actually runs

Story

Information Technology work at Compensar spans more than one site, even when headquarters sits in the United States. Model serving was splitting across regional habits. ML and product teams asked for a shared way to run applied AI delivery without freezing local judgment.

IBM (IBM Cloud) is what they standardized on. IBM offers hybrid cloud, AI, and automation software, including watsonx, Red Hat OpenShift, and observability products for large enterprises. Compensar uses it as the system of record for model serving, with ML and product teams 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 The story is about operating change, not an unpublished percentage.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

Compensar uses IBM, Appian, Microsoft Azure, New Relic, Datadog, ADP, Akamai. Shared with ABB, ETAS, Flowpay, Hellmann Worldwide Logistics, Infosys Finnacle. Industry: Information Technology. Value: Productivity, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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