Story
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
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because model serving has a clear owner |
| Productivity | Handoffs in applied AI delivery sit in a shared queue instead of a mailbox trail |
| Risk and compliance | AWS 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 The story is about operating change, not an unpublished percentage.