With Sap Practical Guide Aws - Plant Maintenance

The CFO was silent.

Anja looked at a live 3D model of Turbine 7. The bearing was highlighted in red. She zoomed in. The model, stored in S3 and rendered by , showed her exactly which bolt needed loosening first.

“Because we’re not using batch updates anymore,” she said. She showed him her screen. An ETL job had just extracted the inventory data from the warehouse RFID readers, transformed it, and loaded it into SAP PM in real time . The bin was accurate. Plant Maintenance With Sap Practical Guide Aws

“Hans, kill the turbine,” she said into the radio. “We’re going manual.”

“How do you know? Inventory hasn’t been updated since Tuesday.” The CFO was silent

“Sir,” she said, smiling, “that €300 included the compute for the AI prediction, the storage for the digital twin, the drone integration, and the real-time inventory sync. On our old servers, that would have cost €15,000 and taken three days.”

“Run predictive simulation,” she told the AI assistant. She zoomed in

Behind the scenes, AWS functions triggered a Amazon SageMaker model. The model ingested five years of vibration data from the turbine’s IoT sensors, which was stored not on a slow hard drive in Hamburg, but in Amazon S3 —the petabyte-scale storage lake.