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AWS@Occidental Petroleum

Occidental Petroleum Brings Model Serving onto AWS

Occidental Petroleum, an energy organization in the United States, uses AWS Lambda from AWS 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
Risk and complianceAWS Lambda is the governed place ML and product teams use for applied AI delivery

Story

Energy work at Occidental Petroleum 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.

AWS (AWS Lambda) is what they standardized on. Amazon Web Services is the leading public cloud for compute, storage, data, and AI services, used to run production systems at global scale. Occidental Petroleum 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 The story is about operating change, not an unpublished percentage.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

Occidental Petroleum uses AWS, F5, Snowflake, Synopsys, Grafana Labs, Check Point, SAS, ServiceNow. Shared with Alloy, British Broadcasting Corporation (BBC), Carrier Global, Darktrace, GE Healthcare. Industry: Energy. Value: Productivity, Risk and compliance. Drag nodes, filter types, or expand a node to follow more commonalities.

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