An AI coding agent walks raw sensor data in S3 through features, training and deployment to SageMaker or the edge. The new example uses real SCADA data from a low-pressure gas compressor that Shell released for a 2020 challenge.
For reliability engineers: go from raw sensor history to a first failure prediction model.
Compressor example by Walt Mayfield
AI Model Builder turns specs, drawings and BOMs into product models, AI Seller drafts priced quotes from RFQs, and a person reviews all output before it is used.
For industrial sales: start from an RFQ and get a draft quote that is configured, priced and tied to the BOM.
One outage costs the refinery $35 million, so the agent watches sensor data for early warning signs and hands engineers a ready maintenance case with past work orders and spare parts lead times.
AI demand is now big enough to make a utility build a new 765-kV substation and transmission lines.